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.
It can be downloaded via the full-text link available here.
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.
It can be downloaded via the full-text link available here.
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.
It can be downloaded via the full-text link available here.
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.
It can be downloaded via the full-text link available here.
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.
It can be downloaded via the full-text link available here.
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.
It can be downloaded via the full-text link available here.
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.
It can be downloaded via the full-text link available here.
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.
It can be downloaded via the full-text link available here.
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.
It can be downloaded via the full-text link available here.
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.
It can be downloaded via the full-text link available here.
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.
It can be downloaded via the full-text link available here.
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.
It can be downloaded via the full-text link available here.
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.
It can be downloaded via the full-text link available here.
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.
It can be downloaded via the full-text link available here.
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.
It can be downloaded via the full-text link available here.
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.
It can be downloaded via the full-text link available here.
A set of indicators, natural chemicals found in the blood, known as biomarkers, can help predict when an aneurysm in the brain might rupture. The work, published in the International Journal of Data Mining and Bioinformatics, looks at the risk of rupture associated with the ballooning out of a weakened blood vessel in the brain, that can lead to catastrophic bleeding. By analysing genetic data from three groups of patients, the team has identified characteristics associated with increased instability of an aneurysm.
The researchers used genetic profiling to look at activity associated with stable and ruptured aneurysms, as well as interactions between proteins that were linked to the latter and not the former. Across all the data, they found two interactions that were active in aneurysms prone to rupture. Then, by using machine learning techniques, specifically Least Absolute Shrinkage and Selection Operator (LASSO) regression, they were able to develop a prediction curve that gives a patient rupture risk based on the presence of the biomarkers.
The findings highlight an underlying mechanism that links chronically raised elevated blood pressure, hypertension, and inflammation in the vasculature of the brain. Hypertension puts mechanical strain on the walls of the blood vessels, while, at the same, activating a hormone-driven regulator of blood pressure, known as the local renin-angiotensin system. This system triggers inflammation and can weaken blood vessels. The research suggests that those genes associated with these biological systems come together to increase a person’s risk of a ruptured aneurysm. As such, they also now become targets for the development of novel therapies that are aimed at reducing mechanical stress in the brain’s blood vessels as well as lowering local inflammation.
This new understanding might improve the medical outcome for at-risk patients as well as precluding unnecessary medical intervention for those at lower risk who happen to have other risk factors. Given the prevalence of intracranial aneurysms and the high morbidity associated with rupture, such strategies could shift management from reactive emergency treatment to proactive, targeted prevention.
Liu, J-Y., Yuan, J., Luo, L. and Yin, X. (2026) ‘Hypertension-driven mechano-immune crosstalk related novel genes may be potential targets for IA rupture progression’, Int. J. Data Mining and Bioinformatics, Vol. 30, No. 5, pp.1–14.
The following International Journal of Environment and Pollution article, "Roof garden plant selection and ecological application: comprehensive strategies to deal with environmental pollution", 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 Environment and Pollution article, "Combating illegal sand pumping: enforcement challenges and policy mechanisms in Taiwan's EEZ", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This kind of control will be a key factor in energy efficiency, allowing interior climate control systems to optimise cooling periods and so reduce energy demands.
The framework for the new model is based on a probabilistic neural network (PNN), which has been tested across varied climatic conditions. According to the research published in the International Journal of Environment and Pollution, it delivers accurate forecasts and quantifies the uncertainty in a way that conventional models do not.
Cooling systems account for a substantial proportion of a building’s energy consumption in the hottest parts of the world. Their operation is dependent on outside temperature, humidity, building characteristics, and occupant behaviour. The standard control models usually assume linear relationships and so cannot capture the nonlinear dynamics of climatic variability and requirements. The PNN approach overcomes this problem by modelling the nonlinear relationships. This allows the system to understand the intricacies of the building-specific data and to provide better predictions to optimise climate control. The team was able to demonstrate almost 97 percent reliable control across various scenarios.
Such a system could be used by policymakers, developers, and energy managers hoping to optimise cooling in hot climates and to reduce the carbon footprint of air-conditioning systems. By providing a more subtle understanding of cooling load variability, the PNN allows for accurate data-driven decisions regarding system design, operational scheduling, and regulatory compliance. The team explains that plans can be put in place for both typical and extreme conditions with greater assurance, reducing energy waste while maintaining occupant comfort.
The same framework might have broader energy management use, allowing for short-term control as well as long-term planning of infrastructure in low-carbon developments. The construction industry must incorporate green systems, and such tools as PNN-managed climate control could play an important role in the development of sustainable buildings.
Zheng, H. and Wang, P. (2025) ‘Predicting the cooling capacity of green buildings using probabilistic neural network models’, Int. J. Environment and Pollution, Vol. 75, No. 4, pp.261–279.
The following International Journal of Environment and Pollution article, "Dynamic process mechanism of empowering carbon peak and carbon neutrality in architectural interior design based on digital 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 Environment and Pollution article, "New algorithm for numerical simulation of beach evolution under extreme weather and neural network optimisation prediction 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 Environment and Pollution article, "Predicting the cooling capacity of green buildings using probabilistic neural network models", 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 radial basis function neural network algorithm based on quantum controlled NOT gate and orthogonal least squares theory", 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, "Advancement in electromechanical systems for innovative product design", 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, "Integrating artificial intelligence and the internet of things for smart laboratory engineering construction and management team optimisation", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Diapers (nappies) and feminine hygiene products (menstrual pads and tampons) are emerging as a critical challenge in the waste management. They account for a disproportionate share of municipal waste, according to work in the International Journal of Sustainable Society.
An analysis conducted across 31 Slovak cities showed that these products alone make up 10% of total mixed waste in both urban and rural settings. There have been recent efforts to improve waste reduction and recycling. However, addressing the environmental impact of this waste stream remains a significant challenge in the Slovak Republic and elsewhere and is hindering sustainability efforts in many places.
The research points out that diapers and sanitary products, though comprising a substantial propportion of waste, are not covered by current waste legislation. These items, primarily comprising plastics and superabsorbent polymers as well as biological materials after use, represent a major problem in recycling and are generally fed into landfill or incinerated rather than being recycled in most places.
While their contents after use will degrade biologically, the materials from which they are manufactured might take centuries to decompose in landfills. While the global market produces billions of units annually, the lack of regulation and effective recycling for these products exacerbates the waste management issues, especially in the Slovak Republic, where recycling rates overall are below EU averages.
The study points to potential solutions, including composting, which has been shown to reduce the volume of diaper waste. However, these methods are limited by the non-biodegradable materials involved. Emerging technologies, such as vermicomposting and thermal pyrolysis, offer promising alternatives by recycling used diapers into usable materials. However, these technologies require proper infrastructure and legislative support to be fully effective.
Peterkova, V., Ilko, I., Martincova, R. and Preinerova, K. (2025) ‘Analysis of municipal waste and management of baby nappies and sanitary napkins in the Slovak Republic’, Int. J. Sustainable Society, Vol. 17, No. 4, pp.355–369.
The following International Journal of Logistics Systems and Management article, "Digitalising the sales process for e-commerce warehouse services at a logistics service provider", 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, "Unlocking the potential of generative artificial intelligence: adoption drivers and organisational performance", 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 Computational Systems Engineering article, "Causal transformer and counterfactual reasoning: deconstruction analysis of the impact of teaching strategies on academic achievement", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The modern network is a place where danger whispers rather than shouts. Corporate systems, public services, and critical infrastructure are increasingly complex and increasingly vulnerable to more subtle cyberattack. Where an old-school hacker might try brute-force techniques or an army of bots that pound the system until it breaks, modern threats can work more insidiously. They might masquerade as ordinary server traffic, draining resources or slowly siphoning off data, while the anti-malware systems and firewalls are focused on the brutes.
New intrusion-detection models are needed, according to the author of work published in the International Journal of Reasoning-based Intelligent Systems. While it is generally easy to hear the alarm bells ringing when the brutes are pounding the servers, the sinister-but-subtle attackers need a different approach, one that listens out for the whispers.
In the work, a new model, called ST-CCNet, promises this kind of protection. In tests against standard benchmarks, it accurately – 98.2 percent – identified covert attacks better than existing approaches. More specifically, it was able to spot low-rate distributed denial-of-service (dDOS) attacks, botnet activity, and subtle web intrusions that had been designed to look like legitimate behaviour. The model can now detect slow-burn attacks that exhaust server capacity over long periods, or threats that unfold over weeks or months. Such attacks have long been the nemesis of network security systems.
One part of the ST-CCNet system uses causal convolution to analyse traffic in temporal order, capturing tiny, momentary deviations that may appear only for microseconds but can mark the opening move of an attack. In parallel with this, a spatio-temporal transformer scans across much longer timescales, identifying patterns that only become meaningful when viewed in context, such as the rhythmic exchanges between compromised machines and their controllers.
This balanced approach addresses the shortcomings of conventional security. By combining short-term acuity with long-term memory, ST-CCNet aligns with the way real sinister-but-subtle attacks operate.
Chi, W. (2025) ‘Multidimensional covert traffic attack detection via coupled spatio-temporal transformer and causal convolutional networks’, Int. J. Reasoning-based Intelligent Systems, Vol. 17, No. 12, pp.35–44.
The following International Journal of Information and Communication Technology article, "Empowering elderly-centric smart home control via multimodal interaction: designing for enhanced user experience", 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 fine-tuned YOLOv11-based insulator icing detection algorithm for intelligent inspections of power systems", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Sustainable entrepreneurship in Nigeria is being stymied by a lack of engagement among business owners because of structural economic and institutional barriers, according to research in the World Review of Entrepreneurship, Management and Sustainable Development that has studied one of Africa’s largest entrepreneurial ecosystems.
The research used quantitative data from 310 entrepreneurs across manufacturing, sales, and food services. An analysis of this data showed that unstable macroeconomic conditions, limited access to finance, weak technological infrastructure, and inconsistent government support are the main barriers faced by entrepreneurs hoping to adopt environmentally responsible business practices. Moreover, they found that many entrepreneurs operate under conditions in which immediate cash-flow pressures outweigh long-term environmental considerations. The result is that sustainability initiatives are difficult to get underway and even harder to maintain.
Entrepreneurs in Nigeria, the study found, are somewhat aware of sustainability principles, but currency volatility, high inflation, and unreliable public services restrain action. The researchers add that access to affordable credit remains limited, particularly for micro, small and medium-sized enterprises (MSMEs). Such companies with fewer than 250 employees form the backbone of the Nigerian economy. Without financial buffers or capital, investments in cleaner technologies or resource-efficient processes are often postponed indefinitely. There is thus an urgent need to improve conditions for entrepreneurs to encourage those that are less than willing to engage that there are long-term benefits, and to nudge the more engaged further towards sustainability. Regulatory incentives and green technologies that have remained largely inaccessible to smaller companies need to be opened up to Nigeria’s MSMEs.
There are obvious implications for other emerging economies facing similar constraints, which also risk missing out on the economic, environmental, and social benefits associated with sustainable enterprise. There is a need to align financial systems, policy instruments, and educational initiatives with sustainability objectives across the whole of the developing world, the research would suggest.
Ogbolu, G., Adelaja, A.A. Ohanagorom, M.I. and Shwedeh, F. (2025) ‘Examining the inhibiting factors of sustainable entrepreneurship: evidence from emerging economies’, World Review of Entrepreneurship, Management and Sustainable Development, Vol. 21, No. 6, pp.1–26.
The following International Journal of Modelling, Identification and Control article, "6DoF Stewart motion platform control using switchable model predictive control", 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 Modelling, Identification and Control article, "Detection method of abnormal vibration state of electrical equipment based on random forest", 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 Modelling, Identification and Control article, "Variable frequency speed control method for wheeled grain harvester based on fuzzy control theory", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The future of urban green space might be written in code, according to research in the International Journal of Reasoning-based Intelligent Systems. The age-old image of the landscape architect, sketchbook in hand, guided by intuition and a feel for the land, is being dug over by digital disruption. The work suggests that for city and town planners facing increasingly dense populations and the problems that climate change brings, the art of urban garden design needs reseeding with modern tools to fertilise new ideas.
Urban green spaces are now recognised as increasingly important for the recreation, enjoyment, and wellbeing of city dwellers, Moreover, such as spaces and in particular the protective effects of trees during scorching summers and the atmospheric cleansing they bring are no longer an aesthetic luxury but an essential part of the modern cityscape. The concrete jungle needs to go green, and an algorithmic augmentation of human intuition can help balance the competing pressures in landscaping our urban spaces.
The researchers talk of “landscape optimization” wherein a green space or garden is not simply a canvas on which to paint trees, lawns and shrubberies, but a complex data problem that can be more effectively solved algorithmically without compromising art nor beauty. The team merging aesthetics and ecology reframe the problem into a “rationality index” which considers the terrain profile, soil health, and the local climate to provide the computer with a unified metric it can interpret and from which it can provide novel design solutions using various algorithms based on natural systems such as honeybee behaviour and ant colonies.
In preliminary tests, the team found that their hybrid algorithmic approach worked better than conventional methods used to calculate land-use efficiency. They emphasise that by treating landscape design as an optimizable process, city planners can produce evidence-based layouts that are reproducible, resilient, and reliable. While the immediate focus is on gardens, the implications for wider urban planning are significant. As public authorities face mounting pressure to meet sustainability targets, the “intuition” of the past may soon give way to the “optimization” of the future.
Cheng, Y., Guo, L., Ao, S. and Wu, W. (2025) ‘Spatial layout design of garden landscapes based on a hybrid metaheuristic optimisation algorithm’, Int. J. Reasoning-based Intelligent Systems, Vol. 17, No. 12, pp.13–23.
The following International Journal of Modelling, Identification and Control article, "An intelligent distribution network source grid load storage optimisation scheduling based on improved ant lion algorithm", 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 Modelling, Identification and Control article, "Constant pressure PID control of non invasive intracranial pressure monitor based on wavelet neural network", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
In terms of sustainability and competitiveness, modern agriculture depends on information across the whole of food-production. Research in the International Journal of Agricultural Resources, Governance and Ecology has looked at how data, innovation, and collaboration shape farm performance in the facing of growing climate change issues and under diverse market pressures. The work suggests that without knowledge frameworks, policies and technologies designed to improve resilience are likely to underperform.
The researchers show that information quality is a decisive factor linking farm-level decisions to wider economic and environmental outcomes. Data on production volumes, input costs, as well as resource use can be combined with national statistics and market intelligence to help farmers and policymakers to respond to price signals, supply chain disruption, and climate stress. Unfortunately, many farms still operate without formal accounting systems or even consistent record-keeping, which means their decision-making is not clear. Moreover, a lack of detailed economic awareness might be limiting the capacity of many farms to adapt production in response to changing conditions.
The detrimental effects of this information gap are worsened by social and organisational factors within the sector. Farmers’ associations, cooperatives, and informal networks can play a role in knowledge exchange, but many farmers do not make full use of such networks, with differences in uptake being linked to farm size, education level, and age. The team adds that the retention of younger people in rural areas emerges is a major concern, as demographic decline threatens the sector’s capacity to absorb new skills and sustain innovation over time.
The bottom line is that digitalisation, used systematically, rather than casually, might offer a structural shift in how agriculture is managed that could help overcome some of these problems. Digital systems can reduce wasted resources and wasted effort. With improved resource efficiency and decision-making supported by data in a sector where timing is often critical, farming practices might be improved. Ultimately, there is a need to embed this digitalisation within farming networks supported by leadership, coherent policy and trained personnel.
Figurek, A., Semenova, E., Thrassou, A., Semenov, A. and Vrontis, D. (2025) ‘Innovative tools for the agricultural information system: a conceptual framework’, Int. J. Agricultural Resources, Governance and Ecology, Vol. 20, No. 6, pp.19–36.
The following International Journal of Computational Vision and Robotics article, "Sentiment analysis and risk early-warning system for cross-border M&A based on natural language processing", 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 Internet Technology and Secured Transactions article, "Chaos-based block cipher for video stream encryption", 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, "Dynamic segmentation algorithm of dance video image for non-legacy ethnic dance inheritance", 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, "Semantic event analysis of sports match videos using domain knowledge and deep features", 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, "Regional wind speed prediction model based on graph attention network and meteorological coupled equations", 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, "Construction of an economic data analysis and management system for legal regulation", 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, "Forecasting electricity demand based on weather effects using diffusion model and causal attention", 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, "Sentiment feedback for English writing using BERT-LSTM hybrid modelling", 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 temperature field modelling and simulation for the deicing of post insulators", 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, "News selection and recommendation algorithm based on machine learning and image matching algorithms", 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, "Development of an instructional model for Korean translation in multilingual classroom contexts", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
