The following International Journal of Reasoning-based Intelligent Systems article, "Cooperative scheduling of rural public resources based on multi-agent proximal policy optimisation", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Reasoning-based Intelligent Systems article, "Knowledge graph construction and GCN prediction model for tort liability elements in the Civil Code", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Business Excellence article, "Knowledge management in the public sector of emerging economies: a literature review", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Climate change and sustainability issues are high on the agenda, and the fashion industry is facing increased scrutiny over its practices with regard to their environmental impact. Research in the International Journal of Sustainable Society has looked at how fast-fashion and luxury brands communicate their purported sustainability efforts. The findings reveal a sector grappling with progress and persistent shortcomings that suggests consumers need more dyed-in-the-wool greenwashing from manufacturers.
The research analysed 42 scholarly and industry papers focusing on corporate social responsibility disclosures, website content, and other public reports. Corporate social responsibility refers to the ways in which companies report their efforts to act responsibly towards the environment, society, and stakeholders. The study highlights a growing tension between brand messaging and actual environmental impact, particularly in the form of what is often called “greenwashing”. Whereas whitewashing is a metaphor for painting over problems, greenwashing refers to companies exaggerating or misrepresenting their environmental credentials and eco-friendliness of their products.
Experts argue that greenwashing is symptomatic of a larger issue and that is the absence of clear, enforceable standards defining sustainable fashion. In other sectors, such as the food industry, terms such as “organic” are strictly regulated, but in the fashion industry, claims of sustainability are not monitored nor regulated in the same way. This regulatory gap allows companies to gain reputational benefits without verifiable proof, placing the onus on consumers to check their green credentials before buying.
The IJSS paper recommends various measures that could be used to improve transparency and accountability, including obtaining third-party certifications, sharing detailed production processes, and educating consumers on the complexities of sustainable clothing. Of course, there are obstacles in that overproduction and continuous consumption underpin the fashion economy, making the notion of sustainability difficult to achieve.
It is suggested that regulatory oversight could both protect consumers and encourage systemic reform in the industry. For consumers, policymakers, and industry professionals, there is a need for critical assessment of sustainability claims and for structural reform that will help the industry achieve meaningful environmental responsibility.
Zaidi, A.A. and Gandhi, A. (2025) ‘Green or green washing? A review paper on the current state of sustainability of fashion brands’, Int. J. Sustainable Society, Vol. 17, No. 4, pp.334–354.
The following International Journal of Business Information Systems article, "Searching for a risk-efficient production structure on crop-livestock farms", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Business Information Systems article, "Exploring digital financial literacy through the lens of planned behaviour theory and technology acceptance model", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Research on fine-grained classification algorithm of oil painting schools based on multilevel SVM and feature engineering", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Energy supply chain financial risk prediction based on GNN and multi-source time series data", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
A study of business school graduates, published in the International Journal of Management Concepts and Philosophy, challenges the widely held belief that such students enter the workforce ill-prepared for the world of work. The finding is based on in-depth interviews with employers in Estonia and the research overall takes a broader view than earlier studies rather than focusing on specific skills such as communication, leadership, and problem-solving. Fundamentally, the research found a much smaller gap between what business schools provide and what employers want than is commonly assumed.
The paper explains that employers cited three main factors supporting this conclusion. First, holding a business degree itself serves as a reliable signal of employability. The credential indicates a graduate has the capacity to learn and adapt, traits employers value highly. Secondly, any deficiencies in technical knowledge or practical experience can often be addressed through on-the-job training. Thirdly, the qualities employers seek, such as adaptability, critical thinking, and ethical awareness, largely align with what business schools already cultivate in their students.
The research has implications for higher education leaders who may have been developing new curricula on the basis of a misconception. The work suggests that a complete overhaul of business school programmes is not needed. They might better focus on improving how their courses develop a graduate’s ability to learn continuously. This would then allow employees to adapt as job requirements evolve. For students, the study reinforces the value of a business degree not only as a basic academic credential but also as the foundation for their ongoing professional development.
Of course, the work focused on graduates and employers in Estonia. Future work might increase the sample size, adjust the interview methodology, and widen the reach of the work to other countries.
Örtenblad, A., Koris, R. and Kerem, K. (2026) ‘The much-discussed gap between employers’ demands and business school graduates’ competence: an intriguing finding’, Int. J. Management Concepts and Philosophy, Vol. 19, No. 5, pp.1–20.
The following International Journal of Information and Communication Technology article, "Spatial revitalisation design of traditional villages in Northwest Henan Province and the influencing factors of regional cultural value", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Evaluation of cross-cultural communication effectiveness of advertising creative based on adversarial sample robustness test", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "The application of artificial intelligence in sentiment analysis and optimisation of mediation effect in legal disputes", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Shipping and Transport Logistics article, "Legal challenges and regulatory improvements regarding ammonia as an alternative marine fuel or cargo", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Business Innovation and Research article, "Technology orientation as a strategic driver of SME export performance: evidence from Sri Lanka", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Farmers in Kazakhstan’s steppe region make production decisions based not only on potential profit, but must weigh expected income against the risk of economic volatility. That’s according to research in the International Journal of Business Information Systems, which has examined agricultural decision-making in the region. The researchers analysed detailed farm survey data and found that a combination of government subsidies and farmers’ attitudes toward risk also have an effect on the structure of agricultural production.
Risk aversion is a preference for more predictable outcomes over uncertain but potentially higher returns. In the agricultural context, this usually involves diversification. Spreading activities across different crops or livestock to reduce the likelihood that a single shock, such as a failed harvest or price drop, will severely damage income. The study confirms that diversification remains a central strategy for Kazakh farmers. However, it also found that even a limited degree of diversification into complementary activities could reduce risk especially for farms with limited resources.
The research found a big difference between outcomes from crop and livestock production. Crop farming is generally producing higher and more stable returns under current market conditions and needs less government support. Beef and dairy farming, on the other hand, often rely heavily on subsidies to remain viable.
The researchers point out that subsidies do more than simply raise income, they affect how willing a farmer might be to engage in riskier activities that might be beneficial in the long-term. While the work focused on Kazakhstan, it could have similar implications for other developing regions where governments might actively intervene to stabilise food supplies and farm incomes. Of course, it is worth noting that state support does introduce additional uncertainties, since subsidy schemes and price supports can change abruptly with policy shifts.
Mussina, G., Kussaiynov, T., Kadrinov, M., Sarsembayeva, G. and Assilov, B. (2025) ‘Searching for a risk-efficient production structure on crop-livestock farms’, Int. J. Business Information Systems, Vol. 50, No. 8, pp.22–37.
The following International Journal of Business Innovation and Research article, "Strategic green entrepreneurship for business sustainability of Batik SMEs in Indonesia: the role of knowledge and ambidextrous innovation", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Business Excellence article, "Capital structure decisions and business excellence: benchmarking financial performance in Vietnamese listed companies", is freely available for download as an open access article.
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The following International Journal of Business Excellence article, "The impact of applying corporate governance principles on enhancing the strategic operational performance of family businesses in Saudi Arabia: a field study", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Management Concepts and Philosophy article, "The much-discussed gap between employers' demands and business school graduates' competence: an intriguing finding", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Digital payments, online banking, investment apps, and automated credit assessments have become routine parts of our everyday financial lives. A study in the International Journal of Business Information Systems argues that because of this the money management skills we need have changed fundamentally.
Financial literacy, the research suggests, is no longer simply about budgeting or understanding interest rates, we need digital skills to cope as well as psychological preparedness and the ability to make sensible economic decisions when faced with always-on apps and notifications. This means we need improved financial education that takes into account the digital tools so that no one is excluded for lack of understanding or access.
The study has reviewed the academic research and found that access to digital financial tools does not automatically lead to better financial outcomes. While financial technology, often referred to as “fintech”, promises convenience and wider access to services, it also exposes users to unfamiliar risks. Such risks might include online fraud, shape lending, and inappropriate investment opportunities. People who lack confidence with digital systems are particularly vulnerable.
The work found that digital competence, the ability to use digital tools effectively and safely, can change financial behaviour by affecting a person’s perceived control. In practice, this means that people who feel capable and in control can use their technical skills to make better financial decisions. That said, even when individuals have access to digital services and the skills to use them, positive results depend on their motivation, self-confidence and their sense of agency.
In modelling the findings from their review, the team saw a reciprocal relationship between motivation and capability. Stronger skills build confidence and intention, while higher motivation encourages additional skill development. The implications are that initiatives that focus solely on technical training may not work well, there needs to be a component of behavioural nudging too to help deliver better results.
Putri, A.M., Wiryono, S.K., Damayanti, S.M. and Rahadi, R.A. (2025) ‘Exploring digital financial literacy through the lens of planned behaviour theory and technology acceptance model’, Int. J. Business Information Systems, Vol. 50, No. 8, pp.1–21.
The following International Journal of Nanoparticles article, "Influence of particle size on optical scattering properties of silver nanoparticles", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Management and Enterprise Development article, "Understanding the process of starting up and managing the performance of a refugee enterprise: a critical realist case study", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Data Science article, "Real time performance prediction in sports using machine learning algorithms", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Global shipping has a large carbon wake and as such the industry is pushing to reduce emissions. One approach has been to turn to a non-carbon fuel, ammonia as an alternative fuel. Research in the International Journal of Shipping and Transport Logistics, however, warns that international maritime law has not kept pace with the speed at which ammonia-powered vessels are being designed, tested, and promoted. This, the researchers suggest, might leave unresolved safety and liability questions unanswered, which could stall the transition to cleaner shipping.
Shipping accounts for a significant three percent of global carbon dioxide emissions. In 2023, the International Maritime Organization (IMO), the United Nations body that regulates global shipping, adopted a strategy committing the sector to net-zero greenhouse gas emissions by 2050. The aim is to achieve substantial reductions by 2030 and 2040. Achieving these goals will require a large-scale shift from heavy fuel oil to zero-carbon fuels.
Ammonia is a promising candidate. It contains no carbon, so releases no carbon dioxide when used as a fuel. It can also be produced efficiently using renewable electricity rather than fossil fuels. Indeed, it is anticipated that ammonia use as a fuel will expand rapidly in the next few years. Ammonia has an additional benefit over hydrogen as a fuel is it can be liquefied at more moderate temperature and pressure, which means it is compatible with much of the existing infrastructure used to transport liquefied gases over long distances. Hydrogen as fuel would require entirely new transport and storage infrastructure.
Despite the many advantages of ammonia as fuel, there are legal and safety complications. Ammonia is a highly toxic and corrosive substance. This creates engineering challenges that require specialised engine designs to ensure reliable ignition and efficiency.
Ammonia has been transported by sea for many years and the regulations around its transport are well established but do not account for it actually being used as a fuel on ships. The International Gas Carrier Code sets standards for ships carrying ammonia as cargo, while the International Code of Safety for Ships Using Gases or Other Low-Flashpoint Fuels was developed primarily with liquefied natural gas (methane) in mind and offers no specific guidance for ammonia as a fuel.
The regulatory gaps and internal legal inconsistencies urgently need to be closed so that shipbuilders, operators, flag states, and port authorities can have certainty in the building and use of ammonia-fuelled vessels.
Choi, J. and Lim, S. (2026) ‘Legal challenges and regulatory improvements regarding ammonia as an alternative marine fuel or cargo’, Int. J. Shipping and Transport Logistics, Vol. 22, No. 5, pp.1–27.
The following International Journal of Data Science article, "Systemic construction of a machine learning-based tourist attraction recommendation model for tourism demand", is freely available for download as an open access article.
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The following International Journal of Data Science article, "Construction of implementation system for vocational education targeted training model based on BP neural network under the integration of industry and education", is freely available for download as an open access article.
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The following International Journal of Data Science article, "Design of intelligent management system for tourist attractions based on IoT information technology", is freely available for download as an open access article.
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The following International Journal of Data Science article, "Study on English machine translation based on feature extraction algorithm and big data information technology", is freely available for download as an open access article.
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The following International Journal of Data Science article, "The analysis of customer service quality evaluation of platform based on big data", is freely available for download as an open access article.
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University libraries hold vast collections of scholarly work, yet most academic books are borrowed only a handful of times each year. A study in the International Journal of Information and Communication Technology suggests that the problem lies less in library logistics than in the lack of a sophisticated recommendation system available to readers. The team behind the research have come up with a new approach to library recommendation systems that replaces the static models with an approach that adapts to the readers’ changing learning needs.
For decades, most library and commercial platforms have relied on collaborative filtering, a technique that recommends items based on aggregated past behaviour, such as borrowing or purchasing patterns. While effective at scale, the method treats readers as having a fixed profile. It ignores the level of difficulty of material relative to a reader’s ability. Moreover, it does not work well with a cold-start, where little data exist for new users or new books. This latest research suggests that overcoming such limitations could open up knowledge to more readers and stop those books gathering dust on the library shelves.
The new system models readers as learners whose knowledge changes over time. It uses a gated recurrent unit, a form of neural network designed for time-series data. This tracks changes in a reader’s mastery of a subject and so can produce what the researchers refer to as a continuously updated “cognitive state matrix”. This analysis reflects what a reader is likely to understand at any given moment in their education of research.
The team adds that their model incorporates behavioural signals, such as borrowing rhythms and search intent, and an environmental feedback mechanism that adjusts recommendations to balance a resource’s difficulty against its popularity.
The approach was tested using real borrowing data from a university library. The team found improvements over established baselines in ranking quality and measured learning gains, while maintaining low response times compatible with live deployment.
Deng, F. (2025) ‘Personalised book recommendation model for university libraries based on multi-factor knowledge tracking’, Int. J. Information and Communication Technology, Vol. 26, No. 50, pp.1–16.
The following International Journal of Data Science article, "Application of intelligent algorithms in precise assessment and effect prediction of rural economic development policies", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Data Science article, "Research on the construction of intelligent outcome-based education platform driven by deep learning", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Data Science article, "Design of smart tourism information resource management system based on GIS and big data technology", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Data Science article, "Quantitative analysis of the influence of financial technology on enterprise financing structure based on machine learning", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Data Science article, "The analysis of image recognition for tourism cultural and creative products visual design based on deep learning", is freely available for download as an open access article.
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The following International Journal of Data Science article, "The emergency network public opinion risk identification and early warning model from BP neural network", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Data Science article, "Green logistics network optimisation and carbon emission reduction using blockchain technology", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Data Science article, "Performance evaluation of enterprise blockchain financial sharing centre based on deep learning", is freely available for download as an open access article.
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The following International Journal of Data Science article, "Multilevel grey method for evaluating the exploitation potential of tourism resources based on machine learning", is freely available for download as an open access article.
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Research in the International Journal of Data Science has looked at how network security technologies can be integrated into the redesign of ordinary homes for older adults with a view to improving their quality of life.
The approach could offer an alternative to institutional care for members of an ageing population. The research suggests that conventional housing could be adapted for older residents with a new ethos that overcomes the limitations of earlier approaches. Some of those earlier approaches could not address the complex and evolving risks associated with later-life living.
Home-based care of older people is commonly the preferred choice, but it is often stymied by interiors that were designed for younger, mobile individuals rather than those with reduced mobility, sensory impairment, or cognitive changes. The work suggests that network security systems that protect personal data as well as the interconnected sensors and monitoring systems that manage risk, detect hazards, and respond to changes in a resident’s condition or environment.
The researchers have considered a standard two-bedroom flat and tested an approach that combined a useful setup with intelligent monitoring. The redesigned interior used networked sensors to identify potential dangers, support adaptable layouts, and define functional zones that could change according to daily routines and care needs.
The work highlights how the integration of useful technology into the home can be done so as not to detract from domestic comfort or visual aesthetics, which are also important to quality of life. The modified flat demonstrated how improvements not only in safety but also in usability and overall livability could be undertaken.
The findings have implications for social policy and public finance. Safer, more adaptable homes could allow older adults to remain independent for longer, reducing society’s reliance on residential care facilities. This could thus reduce the pressure on public care budgets and pension schemes. The next step will be to look at other forms of housing and to investigate whether the approach is scalable.
Yu, T. (2025) ‘Design and transformation of the interior space for home-based care for the aged based on network security’, Int. J. Data Science, Vol. 10, No. 7, pp.1–15.
The following International Journal of Data Science article, "Intelligent construction of financial risk management system based on an e-commerce platform under the background of the Internet of Things", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Data Science article, "Design and transformation of the interior space for home-based care for the aged based on network security", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Three-dimensional facial image modelling and animation generation method integrated with emotion recognition", is freely available for download as an open access article.
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The following International Journal of Information and Communication Technology article, "Application of GCN-based teaching path optimisation for teachers in college education", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The interaction of silver materials with light is well-known as the basis of film photography. But, there are much more sophisticated interactions when we consider very, very small particles of silver that could have applications in a wide range of technologies.
Research in the International Journal of Nanoparticles has looked at the behaviour of the tiniest of silver particles, just billionths of a metre in diameter when exposed to light. The behaviour of these silver nanoparticles when exposed to light is different depending on the exact size of the particles.
The team has modelled the absorption, scattering, and quenching of light of different wavelengths with silver nanoparticles from 10 to 240 nanometres in diameter. They found that the smaller nanoparticles primarily absorb light. This could be useful in boosting photothermal effects used in targeted medical therapies for cancer.
By contrast, larger particles, rather than absorbing light, scatter it. This phenomenon might be used to make reflective coatings and solar energy capture devices.
Those particles that are of intermediate size, 40 to 60 nanometres, displayed a third type of behaviour, plasmonic resonance. In this phenomenon, the incident light causes the conducting electrons in the silver to oscillate. This action could be used to detect chemicals in medical or environmental samples, as the presence of chemicals of interest even in very low concentration will change the pattern of these oscillations.
This new understanding of the behaviour of silver nanoparticles could thus open up a range of applications in medicine, biomedical, chemical, and environmental research. The team adds that not all silver nanoparticles are created equal, and this could also be useful in different technologies. For example, silver nanoparticles with complex geometries such as internal layers, like an onion or hollow nanoparticles might behave differently again. Their model could open up the exploration of such complex silver nanoparticles, which might be even more amenable to fine-tuning for specific applications.
Lamsiah, A., Atmani, E.H., Meziane, J., Fazouan, N. and Oumouloud, M. (2026) ‘Influence of particle size on optical scattering properties of silver nanoparticles’, Int. J. Nanoparticles, Vol. 15, No. 5, pp.1–17.
The following International Journal of Information and Communication Technology article, "Student behaviour prediction and learning path optimisation in online education platform based on Dijkstra-ACO", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Design and practice of artificial intelligence-driven piano improvisation accompaniment teaching system introduction", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Elastic dynamic scheduling algorithm for instant delivery logistics vehicles using multi-objective optimisation techniques", is freely available for download as an open access article.
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The following International Journal of Information and Communication Technology article, "Abnormal swimming behaviour detection and multi-object tracking based on YOLOv7 and DeepSORT", is freely available for download as an open access article.
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The following International Journal of Information and Communication Technology article, "Multi-objective micro-milling parameter optimisation and surface prediction via migration learning", is freely available for download as an open access article.
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The following International Journal of Information and Communication Technology article, "Edge IoT causal graph neural network for enhancing urban carbon sink accounting accuracy", is freely available for download as an open access article.
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Entrepreneurial success can emerge through the gradual development of reflexive decision-making rather than linear planning or favourable starting conditions, according to research in the International Journal of Management and Enterprise Development. The research looked at how a business moved from stalled operations to sustained competitiveness by navigating structural constraints in Britain’s health and social care market over more than a decade.
The study follows a single enterprise, a London-based social enterprise founded by an African refugee woman over the course of thirteen years. The research was a longitudinal case study that tracked change over an extended period of time rather than capturing a simple snapshot of activity at a specific time. Moreover, it founded in a critical realist framework, which examined how an individual organisation operates within, and is shaped by, wider social and institutional structures. Central to the analysis is the notion of reflexivity, which is defined as the internal process through which an individual evaluates their circumstances, reassess their goals and adjust their actions in response to changing conditions.
In their case study, the team notes an early period of fractured reflexivity. Social ambition was strong, but strategic focus was limited. This resulted in zero measurable performance outcomes. Progress followed only as the entrepreneur developed autonomous reflexivity, enabling more disciplined decision-making, engagement with local business networks, and ultimately the establishment of operational credibility.
As the enterprise matured, communicative reflexivity became more and more important. Where there was dialogue with public-sector bodies then stats improved and access to competitively funded contracts opened up. Moreover, there was gradual recognition within London’s regulated health and social care system. This later phase coincided with the building of reputation, quality certifications, and even national awards. In turn, these all further supported access to the market.
More recently, the entrepreneur involved has demonstrated what we might call meta-reflexivity, continually evaluating the enterprise’s social mission along with its financial performance. She has reinvested profits into free training programmes for refugee women, embedded social value creation directly into the business model but still maintained commercial viability.
Given that conventional narratives often frame refugee entrepreneurs in terms of barriers and vulnerabilities, this case study demonstrates that refugee entrepreneurship within broader debates on migration, urban economies, and demographic change, can be framed far more positively.
Mutiganda, J.C. (2026) ‘Understanding the process of starting up and managing the performance of a refugee enterprise: a critical realist case study’, Int. J. Management and Enterprise Development, Vol. 25, No. 5, pp.1–17.
The following International Journal of Information and Communication Technology article, "Construction of oral health big data analysis platform and intelligent decision support system", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Application of knowledge graph-enhanced generative diffusion model for brand visual generation", is freely available for download as an open access article.
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The following International Journal of Information and Communication Technology article, "Tracking domain knowledge in Chinese language education based on graph neural networks", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Intelligent assessment system for singing skills based on time-frequency feature decoupling", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Basketball player action optimisation based on deep reinforcement learning: multimodal biomechanical modelling", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
A novel facial expression recognition system designed to overcome the conflict between accuracy and real-world use is discussed in the International Journal of Applied Pattern Recognition. The approach performs well while remaining computationally lightweight and addresses one of the main challenges facing emotion-aware technologies for vehicles, consumer devices, and healthcare applications.
Facial expression recognition involves classifying human emotions based on a visual analysis of the face. It has benefited from deep learning technology that use multilayered neural networks to examine an image. But, such technology generally requires a lot of computational power. The new work combines classical image analysis with a streamlined deep-learning architecture that preserves performance while lowering computational requirements.
The team has used a convolutional neural network, a type of model well suited to image processing. And, rather than solely learning from training data, the system uses traditional texture descriptors and grey levels. By combining these well-used computer vision techniques with the neural network outputs that can analyse fine-grained facial detail at low computational cost.
The team has tested their approach using two benchmark data sets, large collections of facial images annotated for emotional content. The system achieved recognition accuracies of almost 80 per cent for one and almost 87 per cent for the other. Real-world type tests on still images, recorded video, and live camera feeds in real time also showed how well the system can perform.
Such work is part of a broad area known as affective computing, the discipline concerned with recognising and responding to human emotion. By showing that hybrid designs can offset the computational resource demands of deep learning, the work opens up the possibility of developing emotion recognition that can be integrated into public infrastructure, mobile devices, and clinical environments for a wide range of applications.
Zhang, X. and Yan, C. (2025) ‘Face expression classification and recognition based on LBP+GLCM features and attention mechanism in CNN’, Int. J. Applied Pattern Recognition, Vol. 8, No. 1, pp.1–15.
The following International Journal of Information and Communication Technology article, "Enhancing accuracy of pragmatic ability tests through multi-feature fusion based on graph neural networks", is freely available for download as an open access article.
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The following International Journal of Information and Communication Technology article, "Multimodal attentive fusion for emotion recognition model in children's drama", is freely available for download as an open access article.
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The following International Journal of Information and Communication Technology article, "An affective-behavioural fusion framework for proactive student mental health monitoring", is freely available for download as an open access article.
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The following International Journal of Information and Communication Technology article, "A reinforcement learning - enabled system for personalised sports training plan generation", is freely available for download as an open access article.
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The following International Journal of Information and Communication Technology article, "Integrating sentiment analysis and deep learning for regional economic risk identification and early warning", is freely available for download as an open access article.
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The following International Journal of Information and Communication Technology article, "Value-oriented meta-adaptive reinforcement learning for optimising emotional intervention", is freely available for download as an open access article.
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The following International Journal of Information and Communication Technology article, "Tracking the evolution of youth ideological public opinion based on multimodal transformer and SHAP attribution", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Personalised book recommendation model for university libraries based on multi-factor knowledge tracking", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Real-time teaching behaviour recognition and ability dynamic evaluation technology based on image sequence mining", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Blockchain-based employee performance appraisal and compensation management system: design, implementation, and analysis", is freely available for download as an open access article.
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The following International Journal of Information and Communication Technology article, "Behavioural perception-driven evolutionary pathways for vocational English oral communication: fusing graph convolutional networks with multi-objective optimisation", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
A review in the International Journal of Business Excellence of half a century of scholarship has found that academic interest in why migrants return to their countries of origin has expanded sharply over the past decade. The review reframes return migration as a central feature of the global circulation of skills, rather than a marginal or corrective movement.
The researchers studied 375 peer-reviewed papers published during the period 1972 to 2022. The work thus offers the most comprehensive mapping to date of how this field of social science has evolved in recent decades. The study used bibliometric analysis, a quantitative method that examines patterns in academic publishing such as citation trends, collaboration networks, and thematic clustering. The analysis revealed a steady growth in output, with publication rates rising particularly quickly after 2010. Total citations increases continuously, but the average citations per article declined from 2015 onwards. The authors suspect that this change was down to rapid diversification and specialisation within the field at that time.
They point out that high-ranking journals in migration studies, business, and management dominated the output, as one might expect. This, they suggest, highlights the relevance of return migration to organisational strategy, economic performance, and institutional governance. Scholarly leadership is concentrated in Canada, Spain, the UK, and the USA, although many papers have international authorship.
The review also shows that the focus in this area of research has changed. In the early years covered by the review, research largely addressed aggregate population movements, demographic change, and macro-level migration flows. However, in the two most recent decades covered, research has moved towards the lived experience of return. Gender emerges as a central analytical category, while education, particularly higher education and international student mobility, form a core thematic pillar. The team believes that this reflects a growing engagement with human capital theory, an economic framework that views education and skills as investments shaping productivity and earnings.
Yadav, M., Kumar, M., Dagar, M., Tiwari, N.K., Pandey, A. and Amoozegar, A. (2025) ‘Revisiting return migration: literature insights and a bibliometric perspective on emerging global mobility trends’, Int. J. Business Excellence, Vol. 37, No. 7, pp.1–26.
The following International Journal of Information and Communication Technology article, "Optimisation of intelligent recognition teaching system for Miao costume patterns integrating YOLOv5", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "A particle swarm optimisation-based deep belief network for traditional Chinese medicine data processing strategies", is freely available for download as an open access article.
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The following International Journal of Information and Communication Technology article, "Personalised cultural creative product design using user profile and personalised data diffusion model", is freely available for download as an open access article.
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The following International Journal of Applied Pattern Recognition article, "Face expression classification and recognition based on LBP+GLCM features and attention mechanism in CNN", is freely available for download as an open access article.
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The following International Journal of Data Mining and Bioinformatics article, "Hypertension-driven mechano-immune crosstalk related novel genes may be potential targets for IA rupture progression", is freely available for download as an open access article.
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The following International Journal of Economics and Business Research article, "The legal protection of the creative economy: the case of UAE", is freely available for download as an open access article.
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The following International Journal of Information and Communication Technology article, "Multisource financial data fusion enhanced anomaly transaction detection and early-warning mechanism", is freely available for download as an open access article.
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A new forensic framework designed specifically for the Internet of Things (IoT) is discussed in the International Journal of Electronic Security and Digital Forensics. This deep learning-driven system offers benefits over earlier approaches in detecting and reconstructing cyberattacks on components of the vast network of connected sensors, appliances and machines. It achieves an accuracy of almost 98 percent, according to the researchers, and cuts analysis time by more than three quarters.
There has been a sharp rise in malware aimed at IoT environments. Standard digital forensics tools struggle in this space with the volume, diversity, and the enormous and constant flow of data. The researchers suggest that existing methods, built for relatively static computers and servers, are increasingly mismatched to the IoT world. Given that IoT systems now underpin a lot of transport networks, domestic technologies, and urban infrastructure they will be increasingly vulnerable unless security systems can keep up.
At the heart of this new approach is a hybrid deep learning model that combines a convolutional neural network. This can identify patterns in data using its long short-term memory architecture. When applied to IoT network traffic, the system can detect the subtle signatures of a cyberattack as they evolve over time, rather than simply spotting isolated events.
The team has improved performance by refining the detection approach with a so-called particle swarm optimisation. This technique was inspired by collective behaviour in nature, such as starling murmurations, and honeybee swarming. It can dynamically adjust the detection parameters to home in on the optimal approach without heavy increasing computational cost. This is particularly important for protecting IoT devices, many of which operate with limited processing power and low energy budgets.
Tests conducted across simulated vehicle networks, smart homes, and smart city infrastructures showed that the model works better than existing forensic tools. It is faster and more accurate, but also has the ability to trace and classify multiple forms of cyberattack.
Almadud, W. and Al-Shargabi, A.A. (2026) ‘Efficient digital forensics in the IoT environment: a hybrid framework using deep-federated learning‘, Int. J. Electronic Security and Digital Forensics, Vol. 18, No. 7, pp.1-33.
The following International Journal of Electronic Security and Digital Forensics article, "Efficient digital forensics in the IoT environment: a hybrid framework using deep-federated learning", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Economics and Business Research article, "Governance of FinTech Innovations in Islamic banking: the role and challenges of Sharia supervisory boards in the GCC", is freely available for download as an open access article.
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The following International Journal of Economics and Business Research article, "Modelling the relationship between bond issuance and firm performance in the dynamic Indian scenario", is freely available for download as an open access article.
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Urban roof gardens can help with removal of atmospheric pollutants at measurable, controllable rates, according to a study in the International Journal of Environment and Pollution. The research suggests that rather than simply being decorative, recreational features, such gardens can become part of an active and living environmental infrastructure.
The team report that a dynamically managed rooftop system can be established to absorb hazardous fine particulate matter from the cityscape including (PM2.5, airborne particles that are smaller than 2.5 micrometres) at a rate of about 42.5 micrograms per square metre per hour. It can also absorb nitrogen oxides (NOx, toxic combustion gases) at a rate of 15.6 micrograms per square metre per hour.
The work begins to address growing concern that conventional urban greening, typically static plantings designed for visual appeal, has limited capacity to respond to pollution or climate change. More adaptive and responsive planting, on the other hand, to construct layered plant communities in roof gardens could be functional as well as aesthetic. The team suggests that by grouping species together according to their known capacity to absorb different pollutants, it should be possible to address the problem of different contaminants in the same growing patch. They have carried out tests in an environmental chamber and found that such coordinated but mixed planting can be more effective than single-species approaches given the common mix of urban pollution.
The work also demonstrated that by using a lightweight, bioactive growing substrate containing activated carbon (pollutant absorbing) and vermiculite (for aeration and moisture retention), such planting could improve the rate of pollutant mineralisation.
Guo, R. and Xiao, Z. (2025) ‘Roof garden plant selection and ecological application: comprehensive strategies to deal with environmental pollution’, Int. J. Environment and Pollution, Vol. 75, No. 4, pp.338–360.
The following International Journal of Business Excellence article, "Revisiting return migration: literature insights and a bibliometric perspective on emerging global mobility trends", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Technology Enhanced Learning article, "Latent profiles of computational thinking in first-year university students in Peru", is freely available for download as an open access article.
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The following International Journal of Environment and Pollution article, "Industrial chain technology paths and economic feasibility of agricultural waste resource utilisation", is freely available for download as an open access article.
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