Free sample articles newly available from International Journal of Computational Vision and Robotics

The following sample articles from the International Journal of Computational Vision and Robotics are now available here for free:

• Improved classification of histopathological images with feature fusion of Thepade SBTC and Sauvola thresholding using machine learning
• Machine learning approaches for early detection and management of musculoskeletal conditions
• Localisation and classification of surgical instruments in laparoscopy videos using deep learning techniques
• Detection of cardiac abnormalities in ECG signal using time-based signal processing algorithm
• A multi-modal image encoding and self-attention-based transformer framework with sentiment analysis for financial time series prediction
• Construction of metadata of video for effective video search
• Holistic knuckle recognition through adept texture representation

Free sample articles newly available from International Journal of Business Performance Management

The following sample articles from the International Journal of Business Performance Management are now available here for free:

• Examining the impact of uncertainty on business performance via strategic cost management adoption and implementation: the case of agro-based industries in and around Punjab, India
• Development of a conceptual benchmarking framework for the construction industry
• A systematic review of integration of big data analytics in performance management system: issues and insights
• Active and passive links between work from home and employee well-being: a post-COVID performance perspective
• Perceived behavioural control and entrepreneurial intention: the mediating role of effectuation
• An application to rate banks using a new variant of agglomerative clustering algorithm

Free sample articles newly available from Global Business and Economics Review

The following sample articles from the Global Business and Economics Review are now available here for free:

• Effectiveness analysis of largest financial inclusion schemes in India
• Do social media sentiments affect investment decisions? A moderated mediation analysis of the relationship between social media sentiments, trust, and investment decisions
• Herding behaviour of stock market in emerging country: insight from Pakistan
• Nexus of investors' sentiments and firm value
• Impact of behavioural biases on investor's decision
• Price discovery of commodity markets: bibliometric analysis

Free sample articles newly available from International Journal of Systems, Control and Communications

The following sample articles from the International Journal of Systems, Control and Communications are now available here for free:

• Identification of Tamil Sign Language using Hamiltonian deep neural network
• Day-ahead hourly electricity load forecasting based on long short-term memory neural networks: a comparison study
• A soft processor MicroBlaze-based adaptive power line interference canceller for biomedical signal processing
• Skip.Self attention GAN for anomaly detection
• Tamil sign language using relational bilevel aggregation graph convolutional network

Free sample articles newly available from International Journal of Electronic Marketing and Retailing

The following sample articles from the International Journal of Electronic Marketing and Retailing are now available here for free:

• Minimising display advertising avoidance on social media platforms - the role of exposure condition, personalisation, and personality traits
• Identifying the relationship between e-WOM engagement factors and users' purchase intention through social commerce
• Students' behavioural intention towards mobile technology for online shopping
• The essence of marketing intelligence research highlights from 1962 to 2021
• Links among service quality, customer satisfaction and loyalty in Vietnam retail industry during the COVID-19 pandemic
• CRM purchase intention toward private label brand and trust: investigating the role of manufacturer brand quality, firm motives and perceived risk

Free Open Access article available: "Inclusion, access and accumulation: a study of informal enterprises in India"

The following International Journal of Business Excellence article, "Inclusion, access and accumulation: a study of informal enterprises in India", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free sample articles newly available from International Journal of Public Law and Policy

The following sample articles from the International Journal of Public Law and Policy are now available here for free:

• Sustainable management of petroleum resource revenues: an exploration of Ghana's institutional options
• The role of local experts in the constitution-building process: the case of Indonesian Constitutional Commission
• The impact of Washington Consensus rules on the guarantee of constitutional social rights in a comparative perspective in Latin America
• The good governance of community development based on hamlet system: a case study in Condongcatur village, Indonesia
• Right to freedom during COVID-19: a study of Article 19 of the Indian Constitution in light of COVID-19
• Multi-party suits in Tanzania: a case for class actions
• Fragmentation in International Energy Law: managing an inevitable phenomenon

Feel the city breakin’ and everybody shakin’, but you’re stayin’ afloat

Financial literacy is an important factor in determining how well micro, small and medium enterprises (MSMEs) can withstand economic shocks, according to a review in the International Journal of Business Innovation and Research that has surveyed a decade’s worth of research in this area. The review essentially shows that stronger financial skills among business owners significantly improves the capacity of their company to adapt and survive during periods of disruption.

MSMEs account for the vast majority of businesses globally and employ a large proportion of the workforce. They can be vulnerable in times of crisis, such as a global economic downturn, a pandemic, or during periods of major international conflict. The review shows that this vulnerability is not an inherent characteristic of MSMEs but depends to a large degree on the acumen of the owner.

Across the literature, the team identified various recurring themes. Entrepreneurs with good financial knowledge were able to manage cashflow more systematically. Those same business owners make more informed investment choices and approach credit markets with a clearer understanding of risks, repayment structures, and borrowing costs. In addition, prudent debt management, effective liquidity planning and strategic decision-making were important in building company resilience.

The researchers also point out that there is a growing convergence of financial literacy with digital literacy. As digital financial tools, so-called fintech, become embedded in business practice, the two forms of knowledge increasingly reinforce each other. Fintech is no longer a peripheral tool in MSME operations, but is central to how such small businesses function.

The review, however, also identified persistent gaps in the way research in this area is carried out. There are inconsistent definitions of resilience, fragmented international evidence, and limited inclusion of demographic variables such as gender, age and socio-economic status. These shortcomings, the researchers argue, might limit efforts to build evidence-based training programmes and financial policies that reflect the diverse conditions in which the world’s myriad MSMEs operate.

Esomar, M.J.F., Sumiati, S. Wijayanti, R. and Aisjah, S. (2025) ‘Digital financial literacy and resilience in MSMEs: a bibliometric systematic literature review’, Int. J. Business Innovation and Research, Vol. 38, No. 8, pp.1–30.

International Journal of Business Governance and Ethics to invite expanded papers from 9th Edition of Ethical Finance and Sustainability (EFS) Conference for potential publication

Extended versions of papers presented at the 9th Edition of Ethical Finance and Sustainability (EFS) Conference (EFS-2026) (14-15 May 2026, Aston Business School, Aston University, Birmingham, UK) will be invited for review and potential publication by the International Journal of Business Governance and Ethics.

Free sample articles newly available from International Journal of Innovation and Learning

The following sample articles from the International Journal of Innovation and Learning are now available here for free:

• Peer collaboration in P5: students' perspective of project-based learning in multicultural school setting
• Factors influencing consumer purchase behaviour when buying an electric car
• Innovation on the margins of the external evaluation of Portuguese schools
• The impact of perceived organisational support on organisational commitment of vocational college teachers - the mediating effect of career-related continuous learning
• Predictive performance of higher education students: the role of tutor attributes
• Pencak silat combat: dominant technique in national student competition based on gender and weight

Free Open Access article available: "This town is not big enough for the both of us: bootstrapped dual-role factor data envelopment analysis of Major League Baseball with two teams in one city"

The following International Journal of Sport Management and Marketing article, "This town is not big enough for the both of us: bootstrapped dual-role factor data envelopment analysis of Major League Baseball with two teams in one city", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free sample articles newly available from International Journal of Electronic Finance

The following sample articles from the International Journal of Electronic Finance are now available here for free:

• International Public Sector Accounting Standard adoption and compliance: implications on accounting transparency and quality in Jordan public sector
• Analysis of the specified paint company's financial performance together with the impact on stock liquidity
• Understanding the trend and GAP of studies related to the banks' financial performance: a review of the literature using bibliometric as well as thematic analysis
• Oil price and profitability: evidence from Southeast Asian countries
• A study on customer experience of using chatbots in banking sector with moderating role of age and gender
• Research on the operational efficiency of Chinese fintech companies based on the DEA model
• Crypto currency and economic growth in Nigeria

Research pick: Businesses innovating under pressure - "Innovating under constraints: a bibliometric and systematic review of frugal and inclusive innovations in start-up ecosystems"

Start-up companies facing economic uncertainty and tightening resources are changing our conception of innovation, according to a review in the International Journal of Business Innovation and Research. The review examined 347 papers published from 2000 to 2025 and found that scarcity is increasingly being treated not merely as a barrier but as a catalyst for new products, business models, and social outcomes. This finding is particularly true of emerging markets, where institutional support is often weakest.

The researchers examined four related models of resource-constrained innovation: frugal, inclusive, reverse, and constraint-driven entrepreneurship. Frugal innovation is typically defined as designing affordable solutions by doing more with less. It has broadened into a strategic approach that emphasises accessibility and relevance to local contexts rather than simple cost-cutting. Inclusive innovation extends this logic by involving marginalised communities directly in the creation of products and services intended for their benefit, shifting innovation from a top-down exercise to one based on participation and empowerment.

Reverse innovation, once viewed as an exception, has become a distinct approach wherein ideas originating in lower-income countries diffuse into wealthier markets. This challenges long-standing assumptions that technological and managerial know-how flows only one way from the developed world to the developing nations.

The study then argues that resource-constrained entrepreneurship links all three models, showing how start-ups rely on improvisation, bricolage (the creative repurposing of available resources) as well as social networks to develop solutions without formal backing or substantial capital.

The team found that scholarship in the early 2000s concentrated on conceptual discussions of institutional voids, gaps in infrastructure, regulation or markets that force firms to innovate differently, and on grassroots ingenuity. More recent research reflects technological shifts on the global scale, with growing emphasis on sustainability, digital transformation, and impact-oriented business models.

The review concludes that understanding how innovation emerges under constraint is becoming strategically vital for investors, governments, and businesses as economic, environmental, and social pressures intensify worldwide.

Yadav, M., Kumar, M., Goswami, A., Tiwari, N.K., Amoozegar, A. and Rani, P. (2025) ‘Innovating under constraints: a bibliometric and systematic review of frugal and inclusive innovations in start-up ecosystems’, Int. J. Business Innovation and Research, Vol. 38, No. 8, pp.31–55.

Inderscience journals increasing issue frequency in 2026

Inderscience is pleased to announce that the following journals are increasing their issue frequency from 2026:

International Journal of Computational Vision and Robotics
Increasing from 6 to 8 issues per year

International Journal of Electronic Business
Increasing from 4 to 8 issues per year

International Journal of Electronic Marketing and Retailing
Increasing from 6 to 8 issues per year

International Journal of Medical Engineering and Informatics
Increasing from 6 to 8 issues per year

Free sample articles newly available from International Journal of Power Electronics

The following sample articles from the International Journal of Power Electronics are now available here for free:

• An alternate topology for multi-input DC-DC converter with performance analysis
• BLDC drive commutation current ripple minimisation using a high-performance novel active switched inductor and switched capacitor-based QZS DC-DC converter
• On the common mode current reduction in induction motor fed by three-level NPC inverter for pumping photovoltaic application
• Detection and classification of faults in DC microgrids utilising artificial neural network with bidirectional gated recurrent units

Free sample articles newly available from International Journal of Procurement Management

The following sample articles from the International Journal of Procurement Management are now available here for free:

• Circular economy in green public procurement procedures: an intermediation perspective in the Italian setting
• Exploring the impact of lean, agile, resilient, and green supply chain practices on organisational performance through mediating role of big data analytics
• Sustainable inventory model for price and credit-dependent demand with carbon emissions cap and trade
• Dysfunctions in procurement process according to the lean approach: case study of a university hospital centre
• An impact of purchase decision and brand selection of a car in India - an empirical study
• Factors affecting the default risk of private customers at state-owned commercial banks in Vietnam
• Malaysian SME employees accelerating into digital procurement usage during COVID-19 pandemic

Free sample articles newly available from International Journal of Management in Education

The following sample articles from the International Journal of Management in Education are now available here for free:

• Analysis of the relationship between educational effectiveness and organisational performance using PLS-SEM: a study in higher education institutions
• Risk analysis of technology adoption in higher educational institutions via best-worst method
• Antecedent of teacher agency: the role of teacher leadership
• Efficiency in higher education institutions: an analysis of data envelopment analysis applications
• Exploring the views of Malaysian principals and novice teachers on the school-based support programmes during the COVID-19 pandemic

Research pick: Sustaining South African smallholders - "Government grants towards sustainability of agribusiness in local economic development"

Government grants aimed at boosting smallholder farming in South Africa are not delivering lasting improvements in business viability, according to research in the International Journal of Sustainable Agricultural Management and Informatics. The study suggests that while financial support has helped reduce immediate production pressures, many smallholders remain unable to implement sustainable practices. This highlights deeper structural weaknesses in the way public assistance is designed and delivered, according to the work.

Many regions across South Africa rely on small-scale farming to support the rural economy. But, many in a region such as Waterberg District in Limpopo Province experience high failure rates. Grants are available to ease financial constraints and encourage participation in local markets, but in practice, the study found that short-term gains rarely addressed long-term survival without ongoing subsidies.

In their survey of local agribusinesses, the researchers heard that farmers receiving support described noticeable reductions in production costs and improved yields, suggesting that these grants are not misdirected. But, the benefits simply didn’t last. Many recipients became dependent on continued state assistance, a pattern the researchers link to persistent gaps in managerial capacity, limited technical skills, and weaknesses in the grant allocation process itself. Many businesses failed even when they had ongoing subsidies.

The researchers thus argue for more rigorous selection criteria to ensure grants reach farmers with viable development plans. In addition, there is a need for better oversight to ensure that allocated funds are used appropriately. The team also stresses that there is a need for integrated support beyond a simple injection of cash, such as targeted training in business management and improved agricultural extension services. There is a need for public programmes that offer farmers with technical advice as well as better coordination among local agencies involved in rural economic development.

Makunyane, M.K., Pretorius, M., Venter, M., de Bruyn, C. and Sztando, A. (2025) ‘Government grants towards sustainability of agribusiness in local economic development’, Int. J. Sustainable Agricultural Management and Informatics, Vol. 11, No. 5, pp.1–15.

Free sample articles newly available from International Journal of Diplomacy and Economy

The following sample articles from the International Journal of Diplomacy and Economy are now available here for free:

• The Russia-Ukraine war and stock market volatility: lessons from selected South Asian countries
• Commercial diplomacy: conceptual analysis and factors shaping its empirical impact on trade and investments
• Enhancing the competitiveness of Ethiopian cut flower exports using strategic diplomacy
• Igbo cultural diplomacy and peace building in pre-colonial Nigeria
• Intellectual capital and financial performance nexus in Indian hospitality sector: a panel data analysis

Free Open Access article available: "Government grants towards sustainability of agribusiness in local economic development"

The following International Journal of Sustainable Agricultural Management and Informatics article, "Government grants towards sustainability of agribusiness in local economic development", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free sample articles newly available from International Journal of Business and Emerging Markets

The following sample articles from the International Journal of Business and Emerging Markets are now available here for free:

• The moderating role of demographic factors on OTT platform selection by consumers: an application of the revised UTAUT2
• Towards the development of an inventory for the resource orchestration construct
• Corporate social responsibility, corporate brand image and employer attractiveness: perspectives of potential employees
• Explicating India's outward trade mode using augmented gravity approach
• Young women's perceptions of successful entrepreneurship: evidence from the Kingdom of Bahrain
• Income diversification and bank profitability: exploring the importance of macroeconomic factors in India

Free Open Access article available: "Music intelligent creation method based on LSTM and multi-scale attention"

The following International Journal of Arts and Technology article, "Music intelligent creation method based on LSTM and multi-scale attention", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free sample articles newly available from International Journal of Electronic Security and Digital Forensics

The following sample articles from the International Journal of Electronic Security and Digital Forensics are now available here for free:

• IoT security using deep learning algorithm: intrusion detection model using LSTM
• The legal authority of the electronic authentication certificate and its role in proving e-commerce transactions
• Exploring advanced steganography techniques for secure digital image communication: a comparative analysis and performance evaluation
• Secure system to secure crime data using hybrid: RSA-AES and hybrid: Blowfish-Triple DES
• Adversarial attacks on machine learning-based cyber security systems: a survey of techniques and defences
• Forensic investigation and analysis of malware in Windows OS
• VLMDALP: design of an efficient VARMA LSTM-based model for identification of DDoS attacks using application-level packet analysis
• Network security attack classification: leveraging machine learning methods for enhanced detection and defence
• A novel scalable and cost efficient blockchain solution for managing lifetime vaccination records based on patient preference
• IoT security: a systematic literature review of feature selection methods for machine learning-based attack classification
• Blockchain as an indispensable asset for educational institutions: a systematic review
• An approach towards development of a supervisory control and data acquisition system forensics framework: concerns and challenges
• Feature-driven anomalous behaviour detection and incident classification model for ICS in water treatment plants

Research pick: AI got you babe, when it comes to making medical music - "Music intelligent creation method based on LSTM and multi-scale attention"

The ethical and artistic debates aside, there are good reasons for research into artificial-intelligence systems that can generate music. A new system described in the International Journal of Arts and Technology has improved on the quality and coherence of low-cost computer-generated music for use in music therapy and mental-health support.

The new approach combines two influential machine-learning approaches, long short-term memory networks, or LSTMs, and a multi-scale attention mechanism. This allows the system to overcome the shortcomings of previous algorithmic composition methods, side-stepping erratic structure, avoiding repetitive melodies, and extending emotional range.

LSTMs are a class of recurrent neural networks designed to preserve information over long sequences, making them well suited to modelling time-based data such as music. In the current work, the team used multi-layer LSTM structures with residual connections, a method that stabilises learning by allowing information to bypass certain network layers when needed. In addition, multi-scale attention allows the model to focus dynamically on musical features as they play out over different timespans.

Attention mechanisms, widely used in natural-language processing. Conventionally, they help AI systems weigh the importance of different inputs and when this is applied to making music, it allows the simultaneous consideration of local motifs, longer-term harmonic movement, and rhythmic development.

Tests of the new approach led to clearly coherent music, improved stylistic control, and more musical variety. Such qualities have proved difficult for generative models to balance until now. This means that an appropriate prompt for the generative AI could create music tailored to specific therapeutic needs.

While there are those who lament the emergence of AI music on streaming platforms and elsewhere to the detriment of songwriters and musicians, and perhaps rightly so, the researchers suggest that their system might have use in music-assisted therapy sessions for adolescents. Though preliminary, the results suggest that it is possible to tailor AI compositions to make music that helps improve sleep quality and reduce stress.

The team says that their model’s ability to encode emotional nuance could make it useful for clinical and wellbeing contexts. This could be important where known recorded music may not fit the medical requirements precisely or may simply add music-licensing costs to cash-strapped healthcare facilities.

Li, L. (2025) ‘Music intelligent creation method based on LSTM and multi-scale attention‘, Int. J. Arts and Technology, Vol. 15, No. 6, pp.1-25.

Prof. Sangbing Tsai appointed as new Editor in Chief of International Journal of Ultra Wideband Communications and Systems

Prof. Sangbing (Jason) Tsai from the International Engineering and Technology Institute in China has been appointed to take over editorship of the International Journal of Ultra Wideband Communications and Systems.

Research pick: Grow with the flow - "Impacts of geographic region on knowledge spillover effects and innovation performance in healthcare"

Innovation in healthcare depends as much on location as on the ideas themselves, according to research in the International Journal of Business Innovation and Research. The work examined how knowledge moves between clinicians and medical-technology companies and showed that the exchange of expertise consistently boosts innovation, but that the impact varies across different regions.

The researchers focused on “knowledge spillovers”, the informal sharing of ideas, practices, and technical insights that occurs through professional networks, conferences, or via social media. They used open-innovation theory and regional-innovation-systems research to show that these spillovers matter everywhere, but yield markedly greater benefits in regions with well-developed knowledge economies. These are areas characterised by dense professional networks, strong digital infrastructure and a concentration of medical-technology activity.

Although clinicians and employees of the companies in this sector reported similar levels of knowledge exchange, neither professional background nor regional competitiveness alone explained much of the variation. The authors suggest that opportunities for basic interaction may now be widespread, reflecting the increasing integration of healthcare delivery and medical-technology development. Social media, in particular, has become a routine conduit for cross-regional exchange, narrowing the gap between organisational types.

However, those regions with the strongest innovation ecosystems experienced more knowledge spillover and this led to more advances, such as new medical devices, improved clinical processes, and more responsive digital tools. Faster circulation of ideas, better use of online platforms and proximity to specialist expertise all boosted knowledge sharing and its effects. Regions with only weak connections or fewer specialist clusters experience only modest gains from knowledge spillover.

The bottom line is that there is actually a three-way interaction among spillover, profession, and region. A clinician and an engineer in the medical technology area might share similar information, but what their organisations can do with that knowledge depends heavily on the institutional and infrastructural support in which they are embedded.

Zilahi-Lugbauer, M. and Stummer, H. (2025) ‘Impacts of geographic region on knowledge spillover effects and innovation performance in healthcare’, Int. J. Business Innovation and Research, Vol. 38, No. 7, pp.1–17.

Free Open Access article available: "The adoption and usage of e-government tools by South African metropolitan municipalities"

The following International Journal of Electronic Governance article, "The adoption and usage of e-government tools by South African metropolitan municipalities", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free sample articles newly available from International Journal of Education Economics and Development

The following sample articles from the International Journal of Education Economics and Development are now available here for free:

• Whistleblowing, fraud and forensic accounting subjects: a perception of accounting students in East Java, Indonesia
• Unveiling the impact of abusive supervision on life satisfaction in Indian higher education: a trust-breaking phenomenon
• Government financial assistance in higher education: an empirical analysis of efficiency in Australian universities
• Assessing the students' digitalisation at country level by building a composite index based on PISA 2018
• Sustainable development and blended learning in accounting education
• Employer perception on graduate employability: evidence from Uttar Pradesh

Research pick: We do need digital education - "Multi-objective construction of English online autonomous learning based on mobile intelligent information system"

Research in the International Journal of Continuing Engineering Education and Life-Long Learning suggests that a rethink is needed on how English is taught in China. The work argues that mobile and networked technologies must move from the educational margins to the centre of language instruction. The researchers explain that classroom-based teaching alone can no longer meet rising academic and professional demands for English proficiency, and that well-designed digital platforms should now be seen as an essential part of motivating students and cultivating learning habits.

At the heart of the study is an autonomous learning platform built within a mobile intelligent information system. “Autonomous learning” refers to self-directed study in which learners set their own goals, monitor progress and reflect on their performance rather than relying solely on guidance from a tutor.

The platform distinguishes itself from others by drawing on self-regulated learning, which can be described as a cyclical process involving planning, performance, and reflection. Typically discussed theoretically in education, these elements are drawn together and underpin the features of the digital platform. Learners are guided through how to set realistic goals, engage actively with course materials, and carry out their own structured self-evaluations.

Concepts such as self-efficacy, a person’s belief in their own abilities are embedded in interactive prompts and feedback loops intended to strengthen confidence and encourage persistence. While motivation, particularly the role of interest, emerges as a central theme. The study argues that cultivating curiosity and positive emotional engagement is not a superficial add-on but a psychological prerequisite for sustained attention and effective memory. By designing tasks that trigger curiosity and reward progress, the platform creates what the authors describe as an optimal mental state for language learning.

Liu, J. (2025) ‘Multi-objective construction of English online autonomous learning based on mobile intelligent information system’, Int. J. Continuing Engineering Education and Life-Long Learning, Vol. 35, No. 9, pp.35–51.

Free Open Access article available: "A spatio-temporal transformer predictive model for elderly-oriented tourism via attention mechanism"

The following International Journal of Information and Communication Technology article, "A spatio-temporal transformer predictive model for elderly-oriented tourism via attention mechanism", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free sample articles newly available from Electronic Government, an International Journal

The following sample articles from the Electronic Government, an International Journal are now available here for free:

• A consolidated conceptual framework of a smart e-government ecosystem: a scoping review
• An investigation on adoption of AI-enabled e-waste recycling kiosks in the post-pandemic era
• Innovative approach of masked facial recognition
• Social networks between the US presidential candidates regarding COVID-19
• CBDC as a means of payment and its implications for tax administrations

Free Open Access article available: "Identification of translation bias in Chinese-Korean Confucian texts based on pre-trained language models"

The following International Journal of Information and Communication Technology article, "Identification of translation bias in Chinese-Korean Confucian texts based on pre-trained language models", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free Open Access article available: "Energy efficiency analysis and optimisation strategies for green building design based on gravitational search algorithm"

The following International Journal of Information and Communication Technology article, "Energy efficiency analysis and optimisation strategies for green building design based on gravitational search algorithm", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Open Access issue published by International Journal of Information and Communication Technology

The International Journal of Information and Communication Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.

• Sparse coding-based vocal music feature extraction and real-time transmission
• M-DRAMA: a multimodal-driven framework for classical drama short video promotion
• Real-time detection of Business English grammar errors driven by transfer learning
• Energy efficiency analysis and optimisation strategies for green building design based on gravitational search algorithm
• Identification of translation bias in Chinese-Korean Confucian texts based on pre-trained language models
• A spatio-temporal transformer predictive model for elderly-oriented tourism via attention mechanism

Research pick: Long train running data - "Intelligent fault diagnosis system for railway infrastructure based on deep learning"

Railway infrastructure could be made safer and more reliable using AI, artificial intelligence, according to research in the International Journal of Information and Communication Technology. The research outlines a new automated, real-time fault detection system based on deep learning that can identify problems with track, bridges, tunnels, and signalling equipment. The work could address long-standing challenges in maintaining complex transportation networks.

Faults in railway infrastructure arise through wear and tear, ageing, and unexpected failures. Conventional inspection methods remain largely manual and periodic and as such are costly, time-consuming, and prone to human error. This limits their ability to detect problems early. The new AI system can process vast amounts of operational data and quickly identify patterns and anomalies with high precision that can then be followed up by maintenance staff.

One of the major obstacles to the development of automated tools for fault detection has been the scarcity and imbalance of the requisite data. Some types of failures are so rare that training machine-learning models is almost impossible, as there is a dearth of sample data on which to train the model. The new research tackles this by combining an enhanced Synthetic Minority Over-sampling Technique (ESMOTE) with a class-conditional Generative Adversarial Network (CSGAN). ESMOTE improves data diversity by clustering similar samples and interpolating between them, while CSGAN generates synthetic data that reflects the characteristics of different fault categories. This dual approach creates a more balanced dataset, reducing reliance on expert-labelled data and improving model stability.

Once the data is prepared, the system extracts detailed features from operational signals using a multiscale residual network (ResNet), a type of neural network that captures fine-grained patterns while taking into account variations in operating conditions. A subdomain-adaptive transfer learning strategy allows insights gained from one dataset to be applied to others, enabling accurate fault identification across different environments.

Tests on the new system gave a diagnostic accuracy of almost 94 percent, which is better than previous models that struggled with manual feature extraction or unbalanced datasets. The improved precision promises practical benefits for railway operators. Earlier fault detection means limited maintenance resources can be prioritized better and the number of disruptions to service minimized.

An, Q. (2025) ‘Intelligent fault diagnosis system for railway infrastructure based on deep learning’, Int. J. Information and Communication Technology, Vol. 26, No. 41, pp.107–122.

Free Open Access article available: "Real-time detection of Business English grammar errors driven by transfer learning"

The following International Journal of Information and Communication Technology article, "Real-time detection of Business English grammar errors driven by transfer learning", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free Open Access article available: "M-DRAMA: a multimodal-driven framework for classical drama short video promotion"

The following International Journal of Information and Communication Technology article, "M-DRAMA: a multimodal-driven framework for classical drama short video promotion", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free Open Access article available: "Sparse coding-based vocal music feature extraction and real-time transmission"

The following International Journal of Information and Communication Technology article, "Sparse coding-based vocal music feature extraction and real-time transmission", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Research pick: Don’t stop SMEs now - "Linking financial technology, innovation, and green finance to drive sustainable performance of SMEs of Pakistan"

Financial technology can significantly boost the environmental performance of small and medium-sized enterprises (SMEs) in Pakistan’s manufacturing sector. However, this boost only arises when coupled with organisational innovation and access to green finance, according to new research in the International Journal of Business Innovation and Research. The work has looked at the pressures facing SMEs with limited resources in emerging economies in this context.

The research used data from 340 manufacturing SMEs in Pakistan and found, using structural equation modelling, that those companies adopting digital financial tools, fintech, showed clear improvements in sustainability performance. This is a broad measure covering cleaner production methods, reduced waste, and more efficient use of resources.

The structural equation modelling can tease out complex causal relationships, and so was able to determine how fintech interacts with internal innovation practices and environmentally focused financial instruments. The researchers thus found that technology alone was insufficient to boost SMEs, but its effects were strongest when it prompted firms to redesign processes, improve transparency, and make operational decisions based on real-time data.

The team adds that access to green finance, such as loans linked to sustainability efforts or green bonds, was just as important. Such financial products, earmarked for environmental improvements, are usually out of reach of many SMEs because of limited collateral or weak reporting systems. Their use of fintech helps them overcome such barriers by standardising data, streamlining due-diligence checks, and widening the pool of potential lenders.

As a result, firms using digital financial tools were better able to secure funding for cleaner technologies that they could not otherwise afford. Organisational innovation and green finance affect the link between adopting fintech tools and sustainability outcomes. This means that technology improves environmental performance partly by enabling these other capabilities. Conversely, fintech itself mediates the relationship between green finance and sustainability, acting as the mechanism that converts earmarked funding into measurable environmental gains.

Rashid, S., Ejaz, S., Alwadi, B.M., Kumar, A., Ejaz, F. and Hossain, M.B. (2025) ‘Linking financial technology, innovation, and green finance to drive sustainable performance of SMEs of Pakistan’, Int. J. Business Innovation and Research, Vol. 38, No. 6, pp.30–54.

Free Open Access article available: "Innovating under constraints: a bibliometric and systematic review of frugal and inclusive innovations in start-up ecosystems"

The following International Journal of Business Innovation and Research article, "Innovating under constraints: a bibliometric and systematic review of frugal and inclusive innovations in start-up ecosystems", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Open Access issue published by International Journal of Business Innovation and Research

The International Journal of Business Innovation and Research has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.

• Digital financial literacy and resilience in MSMEs: a bibliometric systematic literature review
• Innovating under constraints: a bibliometric and systematic review of frugal and inclusive innovations in start-up ecosystems

Free Open Access article available: "Digital financial literacy and resilience in MSMEs: a bibliometric systematic literature review"

The following International Journal of Business Innovation and Research article, "Digital financial literacy and resilience in MSMEs: a bibliometric systematic literature review", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free Open Access article available: "Impacts of geographic region on knowledge spillover effects and innovation performance in healthcare"

The following International Journal of Business Innovation and Research article, "Impacts of geographic region on knowledge spillover effects and innovation performance in healthcare", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free Open Access article available: "Evaluation method of Chinese grammar interactive teaching based on sentiment classification"

The following International Journal of Continuing Engineering Education and Life-Long Learning article, "Evaluation method of Chinese grammar interactive teaching based on sentiment classification", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Research pick: Every breath you don’t take - "Acoustic analysis of chronic obstructive pulmonary disorder using transfer learning: a three-class problem"

Artificial intelligence (AI) might be used to improve the early detection of chronic obstructive pulmonary disease (COPD), according to research in the International Journal of Innovative Computing and Applications. COPD is a serious and ultimately terminal condition of the lungs.

COPD is a long-term, progressive lung condition common in smokers and those exposed to noxious volatile substances, although it can affect non-smokers too. It is an umbrella term enshrouds chronic bronchitis and emphysema, both of which cause narrowing and damage to the airways and lead to a persistent cough, excess mucus, shortness of breath, and frequent respiratory infections. The disease gradually reduces the lungs’ ability to move air in and out, and although incurable, early diagnosis allows for better management with medication, pulmonary rehabilitation and lifestyle changes.

The new approach to diagnosis uses machine-learning techniques to analyse digital recordings of lung sounds could help recognise a large number of COPD cases that remain undiagnosed worldwide.

The researchers trained algorithms to differentiate between the sounds of air being inhaled and exhaled by healthy individuals and by patients with confirmed COPD, and other conditions such as asthma, pneumonia, respiratory tract infection, and bronchiolitis. This multifarious training reflects what clinicians routinely face: patients with symptoms that overlap with other respiratory conditions and problems. The algorithmic approach would assist the auscultation approach commonly used by clinician, whereby they listen to the patient breathing using a stethoscope and interpret what they hear.

The algorithms thus-developed can identify the subtle acoustic cues linked to respiratory disease through their prior exposure to the large, diverse datasets. The system achieves 95 per cent accuracy, which make it a useful addition to the diagnostic approaches available, and could be used to triage at-risk patients where clinician numbers and specialist resources are limited. Given that COPD is a leading cause of death and disability, and often progresses unnoticed until lung function is severely impaired, the approach could improve outcomes and quality of life for many putative patients.

Amose, J., Manimegalai, P., Amritha, M. and George, S.T. (2025) ‘Acoustic analysis of chronic obstructive pulmonary disorder using transfer learning: a three-class problem’, Int. J. Innovative Computing and Applications, Vol. 15, No. 3, pp.135–144.

Free Open Access article available: "How intelligent semi-supervised learning illuminates influencing factors in college students' employment psychology"

The following International Journal of Continuing Engineering Education and Life-Long Learning article, "How intelligent semi-supervised learning illuminates influencing factors in college students' employment psychology", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free Open Access article available: "Multi-objective construction of English online autonomous learning based on mobile intelligent information system"

The following International Journal of Continuing Engineering Education and Life-Long Learning article, "Multi-objective construction of English online autonomous learning based on mobile intelligent information system", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free Open Access article available: "Creation and application of education and management intelligence software based on artificial intelligence strategy"

The following International Journal of Continuing Engineering Education and Life-Long Learning article, "Creation and application of education and management intelligence software based on artificial intelligence strategy", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free Open Access article available: "Innovation of college English listening and speaking teaching model based on multimedia technology"

The following International Journal of Continuing Engineering Education and Life-Long Learning article, "Innovation of college English listening and speaking teaching model based on multimedia technology", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Research pick: Yeah, right! - "CASD on enhancing sentiment analysis using context-aware sarcasm detection on social media"

A new approach to sentiment analysis could reduce one of the field’s most stubborn sources of error: the misinterpretation of sarcasm. The system is discussed in the International Journal of Intelligent Engineering Informatics. It shows that machine-learning models can be trained to recognise when language means the opposite of what it appears to say. This is an important advance in language processing with implications for businesses, policymakers, and analysts who rely on automated readings of public opinion.

Sentiment analysis aims to classify text as positive, negative or neutral, but often comes unstuck when analysing remarks that a human reader would immediately recognise as sarcasm. Sarcastic remarks often invert the literal meaning, and so conventional algorithms can misread the tone, distorting everything from political polling to consumer-behaviour forecasts. With online communication proliferating across social media and forums, the cost to society of such errors is on the increase.

The new framework system combines two distinct techniques to handle this problem. First, it uses BERT, Bidirectional Encoder Representations from Transformers. This is a language model that reads text in two ways and can identify subtle cues that signal irony, a contradiction or a tonal shift. These contextual embeddings are essentially numerical representations of meaning. They are passed to a so-called random forest algorithm for classification to improve reliability. Random forests are well suited to spotting complex, non-linear patterns in data, making them a natural complement to BERT’s linguistic sensitivity.

The researchers trained their new system on a bespoke dataset rich in realistic, fine-grained examples of sarcastic speech. When they tested the trained model against established sentiment-analysis models, including lexicon-based, statistical, and deep learning systems, they were able to spot sarcasm with 85 per cent accuracy. The same system could also identify neutral sentiment, which is an area where existing tools often struggle because sarcasm can the true intent of what is being said.

The researchers emphasise how more accurate detection of sarcasm could yield more trustworthy analytics across sectors that depend on understanding public mood.

Davidson, G.P., Ravindran, D. and Pratheeba, R.A. (2025) ‘CASD on enhancing sentiment analysis using context-aware sarcasm detection on social media’, Int. J. Intelligent Engineering Informatics, Vol. 13, No. 3, pp.267–296.

Open Access Special Issue published by International Journal of Continuing Engineering Education and Life-Long Learning: "Smart and Continuing Education and Life-Long Learning: Part II"

The International Journal of Continuing Engineering Education and Life-Long Learning has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.

• Innovation of college English listening and speaking teaching model based on multimedia technology
• Creation and application of education and management intelligence software based on artificial intelligence strategy
• Multi-objective construction of English online autonomous learning based on mobile intelligent information system
• How intelligent semi-supervised learning illuminates influencing factors in college students' employment psychology
• Evaluation method of Chinese grammar interactive teaching based on sentiment classification