Free Open Access special issue on "Adaptive Learning Environments with Mobile and Intelligent Technologies" published by International Journal of Mobile Learning and Organisation

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

• AI tutoring system: adaptive learning with mobile technology for Gen Z university students
• Students' perceived social connection in verbal interactions with GenAI chatbots and classroom peers
• Determinants of collaborative learning in online distance education: the role of self-efficacy as a mediator
• Virtual reality-enhanced learning for ESL/EFL presentation skills: effects on holistic learning outcomes
• Eat, play, discover: a cross-cultural serious game for children's self-exploration and nutritional awareness
• Intelligent academic analytics for early identification of student support needs

Living in a less material world

Consumer behaviour accounts for almost two-thirds of global greenhouse gas emissions. Research in the International Journal of Business Excellence argues that reducing absolute consumption, rather than simply making it greener, needs to be a priority in environmental policy.

The researchers considered the concept of minimalist living. This is a lifestyle based on intentionally having fewer possessions and consuming less overall. The research has looked at factors that are most likely to encourage the adoption of a minimalist lifestyle among the millennial generation, those born in the period around 1981 to 1996. The team identified 16 potential enablers and ranked them using interpretive structural modelling (ISM). This method maps relationships between interconnected factors to determine which have the most influence on an outcome.

The analysis shows that a strong sustainability orientation, innovative thinking, and a focus on reducing unnecessary possessions were the most influential drivers of minimalist behaviour. They also found that digitalisation, voluntary simplicity, lifestyle change, greater awareness of stress and anxiety, and changing aesthetic preferences were important factors.

The researchers explain that understanding these various drivers could help policymakers and businesses encourage lower-consumption lifestyles through environmental education and initiatives that make sustainable choices easier to adopt. The authors say their work fills a gap in research on what motivates minimalism, particularly among millennials, as climate and resource concerns prompt renewed interest in lower-consumption lifestyles.

Jain, V.K., Gupta, A. and Verma, H. (2026) ‘Rediscovering life through minimalism: a qualitative perspective of millennials using MCDM approach’, Int. J. Business Excellence, Vol. 39, No. 3, pp.291–313.

News media may use this press release as source material, in whole or in part, provided the content is not materially misrepresented. A link back to the original article is appreciated.

Free sample articles newly available from International Journal of Supply Chain and Operations Resilience

The following sample articles from the International Journal of Supply Chain and Operations Resilience are now available here for free:

• Cruising towards supply chain viability: a tripartite perspective through multi-stage focus groups
• Designing framework for quality valorisation of perishable commodities through Agriculture Supply Chain 4.0: an emerging economy perspective
• Social and environmental disclosure and supply chain performance: mediating role of firm reputation
• Scientometric review of global e-procurement research trends from 1976 to 2022
• The effect of supply chain collaboration on new product performance: the mediating roles of innovation capability and knowledge sharing

Free Open Access issue published by International Journal of Business Information Systems

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

• Transforming human resource practices through AI-driven HRIS: a two-decade bibliometric and systematic review
• The dark sides of AI systems and their impact on business sustainability: a socio-technical systems perspective

New Open Access article available: "Temporal and spatial pattern of vegetation community diversity in Henan section of the Yellow River Basin based on remote sensing and ecological model"

The following International Journal of Environmental Engineering article, "Temporal and spatial pattern of vegetation community diversity in Henan section of the Yellow River Basin based on remote sensing and ecological model", is freely available for download as an open access article.

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

Research pick: What’s going down in the mining sector? - "A review of the negative impact of adopting fourth industrial revolution technology in South Africa’s mining industry"

South Africa’s mining industry risks increased inequality through the adoption of fourth industrial revolution technologies unless automation is matched by stronger governance and workforce support, according to a review in the International Journal of Mining and Mineral Engineering. The fourth industrial revolution refers to the growing use of digital technologies to improve industrial operations.

The researchers looked at the peer-reviewed research alongside industry and policy reports to distinguish documented effects from speculation. They found that adoption of technologies such as autonomous vehicles, drones, smart sensors, and artificial intelligence (AI) are constrained by high investment costs, a shortage of specialist skills, regulatory uncertainty, and resistance to organisational change.

Digital technology can increase productivity, improve safety, and enable real-time monitoring of equipment and hazards. The review found, however, that documented risks including job displacement among low- and semi-skilled workers, security threats to critical infrastructure, ethical concerns over AI-driven decision-making, digital workplace surveillance, and the exclusion of smaller suppliers unable to meet technology-intensive standards are all ongoing problems in the sector.

The review challenges the received wisdom concerning mining automation. The team suggests that technological change will require updated employment law, stronger oversight of automated systems, investment in worker retraining, and measures to help local businesses integrate into increasingly digital mining supply chains.

Tingini, T. and Githiria, J. (2026) ‘A review of the negative impact of adopting fourth industrial revolution technology in South Africa’s mining industry’, Int. J. Mining and Mineral Engineering, Vol. 17, No. 5, pp.1–28.

News media may use this press release as source material, in whole or in part, provided the content is not materially misrepresented. A link back to the original article is appreciated.

Free 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.

• Research on the key technology of speech recognition in English interactive system
• Design and performance analysis of multipath DQN routing mechanism in high-dynamic power optical networks
• Multi-label text classification for power communication customer service system based on BR-GBDT with label correlation weighting
• Research on the construction of higher vocational curriculum system and path optimisation model based on knowledge graph
• Research on process optimisation and intelligent decision-making modelling of RPA in university fund management

Free Open Access special issue on "Intelligent Media Arts: Convergence of Technology, Creativity, and Performance – Part 1" published by International Journal of Arts and Technology

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

• Research on music interactive teaching mode based on wireless sensor network and multimodal data fusion
• Design of an art style transfer teaching platform based on generative adversarial networks
• Automatic melody generation and arrangement assistant system in music production based on transformer architecture
• Design of a polyphonic AI music generation algorithm based on transformer adversarial mechanism
• Intelligent emotion classification for college students in online education based on text clustering modelling
• Modelling and accuracy analysis of music style and beat feature recognition using a biological genetic algorithm

Research pick: A little less conversation - "Efficient post-training pruning of dialogue summarisation based on sensitivity evaluation"

Systems that can create a summary from conversations are much in demand in customer service, news rooms, and for virtual assistants. Research in the International Journal of Applied Pattern Recognition could improve processing speed and cut computational costs by using a new compression technique that avoids the lengthy retraining normally required after algorithm optimisation.

The researchers propose a framework that cuts the summarisation model’s computational workload by 30 to 40 per cent. It does so without compromising accuracy and works about one and a half times as fast as current methods. The team tested their system against five benchmark datasets and sustained performance to within 1 per cent of standard evaluation measures, including BLEU, ROUGE, METEOR and PARENT. Those evaluation tools compare computer-generated summaries against human-written references.

The team explains that they use structured pruning instead of retraining the entire model. This allowed them to optimise the model to meet a computational constraint known as a FLOPs budget, where FLOPs (floating-point operations) represent the amount of computation needed for the processing.

The optimisation process takes less than six minutes, compared with 15 to 93 hours for conventional retraining-based methods. However, the researchers note a sharp decline in performance if the FLOPs budget is too tight, specifically below 50 per cent of the original model. This, they explain, suggests limits to current compression techniques.

Liu, Y., Zhang, Y., Sun, H. and Zhang, X. (2026) ‘Efficient post-training pruning of dialogue summarisation based on sensitivity evaluation’, Int. J. Applied Pattern Recognition, Vol. 8, No. 3, pp.1–18.

News media may use this press release as source material, in whole or in part, provided the content is not materially misrepresented. A link back to the original article is appreciated.

Free 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.

• Time frequency feature extraction for surface electromyographic signals and computational simulation of sports injuries
• Ethnic dance movement recognition combining graph convolutional network and motion attention mechanism
• Multimodal transformer for teaching evaluation: integrating speech, text and behavioural modalities
• E-commerce agricultural product delivery route optimisation with clustering and time windows
• Resource recommendation for university libraries based on graph neural networks and DNN

New Open Access article available: "Efficient post-training pruning of dialogue summarisation based on sensitivity evaluation"

The following International Journal of Applied Pattern Recognition article, "Efficient post-training pruning of dialogue summarisation based on sensitivity evaluation", is freely available for download as an open access article.

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

Free Open Access special issue on "Dynamical Systems in the Era of Artificial Intelligence and Machine Learning: Theory, Applications and Innovations: Part 2" published by International Journal of Computer Applications in Technology

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

• Intelligent path planning method for UAV inspection of complex distribution network lines under multi-branch operation tasks
• A multi-dimensional time series algorithm for personalised recommendation in an innovation and entrepreneurship resource library
• Customer churn prediction in live e-commerce based on stacking ensemble learning
• An accurate prediction method of financial transaction risk based on multidimensional data mining
• English online interactive learning behaviour recognition based on face detection
• Chinese named entity recognition with a residual convolutional neural network
• An infrared thermography-based study on temperature anomaly identification for electrical cabinets in offshore wind farm substations
• Prediction of SF6/N2 decomposition gas concentration based on infrared spectroscopy data
• An automatic recommendation method for online teaching resources based on SA-BPNN multimodal fusion
• Action-guided masking strategy for recognising foul moves in track and field athletes
• Study on leveraging fuzzy neural networks for error labelling in English machine translation
• Study on global control of solar power generation by integrating maximum power point tracking
• Semantic-guided neural network for complex dance action recognition

Free 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.

• Relatively important node mining algorithm based on label propagation
• Real-time data processing of power wide-area digital metering equipment based on deep learning algorithms
• Integrating fuzzy logic with performance art pedagogies to reconstruct engineering simulation training
• Joint source-channel coding based on attention mechanisms in semantic communication
• A compatibility calculation model for clothing coordination based on transformers and graph convolutional networks

Research pick: Advert provocateur - "Beyond the norm: exploring the paradigm shift in advertising tactics towards the unconventional and provocative"

A study of digital advertising in the International Journal of Business and Systems Research suggests that memorable visuals are more likely to encourage consumers to buy than campaigns that rely primarily on emotional impact. The findings challenge the received wisdom about how online advertising influences behaviour.

The researchers analysed survey responses from more than 400 participants using structural equation modelling. This statistical technique tests relationships between multiple factors simultaneously. They examined how four advertising characteristics, provocativeness, emotional tone, cultural relevance, and visual appeal, affected purchase intention through two pathways. The first of these was emotional response, meaning the feelings an advertisement evokes, and the second was advertisement recall, or how well people remembered the details of the campaign.

The findings indicate that provocative advertising and culturally relevant messages were effective at generating emotional reactions. However, those emotional responses did not translate into stronger purchase intentions. Similarly, an advertisement’s emotional tone neither improved recall nor influenced buying intentions.

By contrast, visually appealing advertisements consistently improved advertisement recall, and, in turn, stronger recall was linked to greater purchase intention. The results suggest that memory, rather than emotion alone, is the more reliable route from advertising exposure to consumer action.

The research addresses a gap in advertising studies, which have traditionally focused on factors such as credibility and informativeness rather than the effects of provocative or culturally tailored content. As brands compete for attention on social media platforms, the findings imply that striking imagery may be more effective when it helps audiences remember a message, rather than simply provoking an emotional reaction. For advertisers, in other words, the study suggests that attention-grabbing or controversial campaigns may need to be paired with memorable visual design to influence purchasing decisions.

Haile, T.T. (2026) ‘Beyond the norm: exploring the paradigm shift in advertising tactics towards the unconventional and provocative’, Int. J. Business and Systems Research, Vol. 20, No. 3, pp.235–256.

News media may use this press release as source material, in whole or in part, provided the content is not materially misrepresented. A link back to the original article is appreciated.

Free 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.

• Blind source separation of music signals based on improved SCA algorithm
• Digital profiling for early perception of academic risk: fusing multi-source heterogeneous data on student behaviour
• Real-time cognitive transfer tracking: a dual-stream network for online teaching evaluation
• Fine-grained sentiment classification of consumer reviews based on anchoring bias characteristics
• Efficient clustering algorithm based on fusion graph transformation and self-attention in big data scenes

Editor in Chief invites submissions for the International Journal of Applied Pattern Recognition

Prof. Xilong Qu, Editor in Chief of the International Journal of Applied Pattern Recognition (IJAPR), cordially invites high-quality original submissions presenting advances in pattern recognition methods, systems and real-world applications.

IJAPR provides an international and interdisciplinary forum for researchers, academics, engineers, developers and industry professionals to disseminate research that combines methodological innovation, scientific rigour and practical relevance.

The journal welcomes

• Original research papers
• Review articles
• Short papers
• Application-oriented and interdisciplinary studies
• Proposals for special issues on important and emerging topics

Topics of interest include, but are not limited to

• Image, face, speech, speaker and biometric recognition
• Natural object, insect and plant recognition
• Natural language recognition and analysis
• Predictive modelling and large-scale data forecasting
• Geographic and spatial applications
• Pattern recognition in biosciences and health informatics
• Applications in library and information science
• Pattern recognition in computational science
• Real-world data analytics
• Evaluation, benchmarking, testing and standardisation of pattern recognition systems
• Emerging and interdisciplinary applications of pattern recognition

IJAPR particularly encourages submissions that address significant scientific or industrial challenges, introduce innovative methods or demonstrate clear value in practical applications.

The journal is indexed by the Web of Science Emerging Sources Citation Index (ESCI), DBLP, Computer Science Bibliography, Google Scholar and in other international databases.

Researchers working in relevant fields are warmly invited to submit their latest work to IJAPR and contribute to the advancement of applied pattern recognition research.

For further information, author guidelines and online submission, please visit the IJAPR homepage.

Research pick: Tales from the crypto - "What drives consumers to purchase cryptocurrencies? An empirical investigation"

Consumers are more likely to buy cryptocurrencies when they see them as easy to use, trustworthy, and beneficial, according to research in the International Journal of Blockchains and Cryptocurrencies, which has used the Technology Acceptance Model as a framework to examine perception and adoption.

The team analysed survey data using partial least squares structural equation modelling (PLS-SEM). This statistical approach can test relationships between various factors simultaneously. This allowed the researchers to discern that perceived ease of use, trust, and benefits all had significant direct effects on a consumer’s intention to buy cryptocurrency. Trust showed the strongest relationship, followed by ease of use, and finally benefits. Perceived risk reduced perceptions of benefit, but this link was not statistically significant, the team reports.

The findings suggest that concerns over volatility, cybersecurity, and the minimal regulation surrounding cryptocurrencies do not necessarily deter buyers if the platforms are seen as reliable and straightforward to use. The researchers argue that consumers are more likely to recognise advantages such as lower transaction costs, borderless payments, and investment portfolio diversification when they trust the technology and can navigate it easily.

The study has implications beyond cryptocurrency markets as governments and financial regulators consider how to oversee such digital assets. The authors recommend that there should be put in place clearer investor-protection rules, standardised compliance procedures, and enforcement of ethical marketing to reduce systemic financial risks.

They also argue that digital platform providers should prioritise stronger cybersecurity, transparent fee disclosures, and accessible interfaces to strengthen user confidence while protecting financial and personal data.

Jain, R. and Sharma, S. (2026) ‘What drives consumers to purchase cryptocurrencies? An empirical investigation’, Int. J. Blockchains and Cryptocurrencies, Vol. 7, No. 3, pp.291–307.

News media may use this press release as source material, in whole or in part, provided the content is not materially misrepresented. A link back to the original article is appreciated.

Free Open Access special issue on "Intelligent Multimedia Technologies in Cultural Tourism: Enhancing Artistic Expression and Humanistic Engagement – Part 1" published by International Journal of Arts and Technology

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

• Improvement of online music teaching system in cultural tourism assisted by artificial intelligence
• Intelligent teaching methods of music appreciation based on the Kano model in the context of cultural tourism
• The international communication of Chinese red classics by multimodal information fusion and deep learning VGG network
• The role of SARIMA-BP model for development strategy of broadcasting and hosting art under online security network platform
• The impact of VR-integrated piano music appreciation instruction in cultural tourism modules
• Multimedia artificial intelligence for innovative system of university cultural tourism music education based on fuzzy theory
• Optimisation of digital music teaching system based on artificial intelligence and neural network in the context of cultural tourism
• The impact of print advertising images with Miao silver jewellery patterns in cultural tourism under the intelligent generation system
• Singing simulation of male characters in national operas based on PiGAN-SwT model and artificial neural network technology oriented by cultural tourism
• Deep learning and AI technology for the integrated development of urban-rural cultural tourism and sports services

New Open Access article available: "When political embeddedness shapes ESG practice corporate governance"

The following International Journal of Managerial and Financial Accounting article, "When political embeddedness shapes ESG practice corporate governance", is freely available for download as an open access article.

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

Call for Editors and Editorial Board Members for the International Journal of Accounting, Auditing and Performance Evaluation

The International Journal of Accounting, Auditing and Performance Evaluation (IJAAPE) is seeking distinguished scholars and experienced academics to join its Editorial Team under the leadership of the new Editor in Chief, Prof. Khaled Hussainey. Prof. Hussainey invites applications from committed researchers with strong publication records, editorial experience, and expertise in accounting, auditing, performance evaluation and related disciplines.

Editorial Opportunities

Regional Editors

Regional Editors are expected to promote the journal within their geographical regions, strengthen regional research networks and attract high-quality submissions. Applications are particularly welcome from scholars representing regions such as America, Australia, Africa, Asia, Europe and the Middle East.

Associate Editors

Associate Editors play an active role in managing the peer-review process, recommending editorial decisions and contributing to the strategic development of the journal. Candidates should be internationally recognised experts with a strong publication record and previous editorial or reviewing experience.

Editorial Board Members

Editorial Board Members are senior academics who contribute to the journal by reviewing manuscripts, advising on editorial matters and promoting the journal within their research communities and professional networks. Members are expected to actively support the journal's growth and reputation.

Eligibility

Applicants should have the following:A PhD in accounting, auditing, performance evaluation or a closely related discipline.
A strong international publication record.
Experience as a reviewer, editorial board member, or journal editor.
An active international research network.

Interested applicants should submit a current CV, a brief statement indicating the position sought and outlining their relevant experience, and a summary of previous editorial experience (where applicable) to the Editor in Chief, Prof. Khaled Hussainey, at k.hussainey@bangor.ac.uk. The application deadline is 31 July, 2026.

International Journal of International Journal of Internet Protocol Technology is now an open access-only journal

We are pleased to announce that the International Journal of Internet Protocol Technology is now an Open Access-only journal. All accepted articles submitted from 16 July 2026 onwards will be Open Access, and will require an article processing charge of EUR €1700.

New Open Access article available: "Assessing intercultural communicative competence: a survey-based needs analysis of Thai university students"

The following International Journal of Innovation and Learning article, "Assessing intercultural communicative competence: a survey-based needs analysis of Thai university students", is freely available for download as an open access article.

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

Research pick: AI is not yet the answer to detecting software vulnerabilities - "Large language models for vulnerability detection: a multi-use case comparative study"

Writing in the International Journal of Applied Cryptography, a team compares eleven leading large language models (LLMs) for software security. They found that no single system consistently outperforms its rivals in detecting vulnerabilities. This, they suggest, means organisations must select such tools according to the specific software they are analysing.

The study assessed open-source and proprietary LLMs across four public benchmark datasets covering Android applications, Internet of Things (IoT) software, and blockchain smart contracts. They also tested whether the models could identify privacy-invasive behaviour in code and whether retrieval-augmented generation (RAG), a technique that supplements an AI model with external information during use, could improve detection.

The findings come as software vulnerabilities continue to rise. Industry reports cited by the authors suggest an almost two-thirds annual increase in newly discovered vulnerabilities compared with the previous year. Vulnerabilities that have been exploited have increased by 96%. They add that software supply chain attacks, which target the software development and distribution process, have also increased sharply.

Their findings show that while several models showed promise, performance varied across datasets and domains. The authors thus argue that current LLMs remain unsuitable as universal vulnerability detectors. Limitations include outdated training data and the well-known problem of AI hallucinations, where plausible, but false, outputs are presented as fact by the AI. This, they explain, highlights the need for continued updates and testing before deployment in security-critical workflows.

Kouliaridis, V., Karopoulos, G. and Kambourakis, G. (2026) ‘Large language models for vulnerability detection: a multi-use case comparative study’, Int. J. Applied Cryptography, Vol. 5, No. 6, pp.1–17.

News media may use this press release as source material, in whole or in part, provided the content is not materially misrepresented. A link back to the original article is appreciated.

New Open Access article available: "A review of the negative impact of adopting fourth industrial revolution technology in South Africa's mining industry"

The following International Journal of Mining and Mineral Engineering article, "A review of the negative impact of adopting fourth industrial revolution technology in South Africa's mining industry", 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 System Control and Information Processing

The following sample articles from the International Journal of System Control and Information Processing are now available here for free:

• Dynamic resource adjustment of hierarchical control Petri nets
• An ASMDO-based finite time safe control approach for unmanned aerial manipulator
• Integration of sensing, communication, and control for UAV-assisted data transmission in industrial IoT systems
• Sub-pixel resolution thematic map based on multi-source data fusion
• PCBA defect classification in real world with out-of-distribution detection

New Open Access article available: "Guidelines for the creative integration of workforce competency development with intelligent automation in industrial businesses"

The following International Journal of Business Performance Management article, "Guidelines for the creative integration of workforce competency development with intelligent automation in industrial businesses", is freely available for download as an open access article.

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

Research pick: Showboating in China? - "Costly signals and compliance boundaries in human rights diplomacy: China’s UPR engagement"

A study of China’s participation in United Nations human rights reviews argues that its public statements are more than diplomatic rhetoric. The paper published in the International Journal of Public Law and Policy also suggests that they serve as strategic signals that shape later negotiations.

The researchers analysed 51 statements made by China at the United Nations General Assembly between 2018 and 2024 alongside its responses to 428 recommendations during the fourth cycle of the Universal Periodic Review (UPR). The latter is a UN process in which every member state undergoes a peer assessment of its human rights record.

The study identified three recurring themes in China’s human rights discourse. The first being the importance of economic development and basic living standards. The second, the principles of sovereignty and non-interference in domestic affairs. The third appeals to shared values across humanity. The authors argue that these themes define China’s negotiating boundaries.

The study found that China often accepts development-focused recommendations and even accepts policy commitments that carry implementation costs. However, recommendations that touched on issues Beijing sees as a matter of sovereignty were often rejected, despite the reputational costs of refusal.

The findings suggest that analysing a state’s public discourse may help anticipate where compromise is possible in international negotiations and where entrenched positions are likely to persist as competing interpretations of human rights become more prominent in an increasingly multipolar international system.

Jiang, Y. and Song, W. (2026) ‘Costly signals and compliance boundaries in human rights diplomacy: China’s UPR engagement’, Int. J. Public Law and Policy, Vol. 12, No. 5, pp.1–28.

News media may use this press release as source material, in whole or in part, provided the content is not materially misrepresented. A link back to the original article is appreciated.

Free Open Access special issue on "Big Data Industrial Application and Computing Innovation – Part 2" published by International Journal of Data Mining and Bioinformatics

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

• Construction of a natural gas pipeline intelligent early warning platform based on the integration of multi-source heterogeneous data management and GAN reinforcement learning
• Interactive AI virtual human synthesis technology based on multimedia visual images
• A cooperative evolutionary algorithm based on a double deep Q-network for adaptive robust service composition in cloud manufacturing
• Resource collaboration-aware service composition optimisation for cloud manufacturing
• Eye movement fixation point localisation and recognition method based on multimodal features
• Smart contract and distributed ledger based financial transaction settlement and tracking model design in digital economy

Free sample articles newly available from International Journal of Electric and Hybrid Vehicles

The following sample articles from the International Journal of Electric and Hybrid Vehicles are now available here for free:

• Elucidations on different modes of charging techniques for enhancement of the performance of electric vehicles
• Thermal behaviours of large scale lithium-ion battery for electric vehicle and hybrid electric vehicle application: a review
• Research on two-stage on-board DC-DC converter and control technology
• Voltage lift technique-based quasi Z-source inverter for electric vehicle functioning

New Open Access article available: "Hearing the witness remotely in Jordanian law"

The following International Journal of Electronic Security and Digital Forensics article, "Hearing the witness remotely in Jordanian law", is freely available for download as an open access article.

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

Free 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.

• Probabilistic modelling and reliability analysis of smart grid optical communication networks
• Precursor detection for extreme weather in power facilities using deep residual shrinkage networks
• Quantification of the impact of meteorological large models based on transformer on electricity load
• Reinforcement learning-based AI framework for interference control in edge-IoT networks with limited resources
• Deep learning-driven vocal melody generation and simulation of polyphonic harmony arrangements