Free sample articles newly available from International Journal of Bio-Inspired Computation

The following sample articles from the International Journal of Bio-Inspired Computation are now available here for free:

• Optimised context encoder-based fusion approach with deep learning and nonlinear least square method for pan-sharpening
• Intrusion detection via optimal tuned LSTM model with trust and risk level evaluation
• Decomposition gradient descent method for bi-objective optimisation
• Classification techniques of electronic nose: a review
• Bio-inspired algorithms for cybersecurity - a review of the state-of-the-art and challenges

Free sample articles newly available from International Journal of Applied Management Science

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

• A note on an EOQ inventory model with varying time-proportional deterioration, time-dependent demand and shortages under the conditions of permissible delay in payment
• A machine learning-based domestic violence prediction and Android application-based domestic violence prevention assistance system
• Quantifying the relationship between e-advertising capabilities and marketing mix cost savings
• Factors affecting occupational safety performance in Vietnamese construction enterprises
• An integrated ANP and Dempster-Shafer's theory (DST) model for distribution channel selection strategy

Research pick: Follow the feels to find financial fraud - "Financial fraud recognition based on deep learning and textual feature"

Research in the International Journal of Information and Communication Technology suggests that machine learning tools might be used to detect and so combat financial fraud.

According to Weiyi Chen of the Monitoring and Audit Department of the Financial Shared Center at the National Energy Group Qinghai Electric Power Co., Ltd. In Xining, China, financial fraud is a constant challenge for capital markets, especially in developing economies where regulatory systems are still not fully mature. Fraudsters use sophisticated techniques to outpace conventional detection methods, which can leave investors exposed to potentially devastating risks beyond the everyday risks of investments! Chen’s work offers a promising new approach to fraud detection by combining machine learning and deep learning to bridge the gap between financial data and the information found in corporate reports.

Financial fraud has long afflicted markets, distorted investment decisions, and weakened public trust in financial systems. Manual audits and statistical models can detect some fraudulent activities, but they can be inefficient when faced with increasingly complex fraud in the digital age. The problem is especially obvious in developing markets, including China, where financial fraud is widespread, and the regulatory structures have not necessarily kept pace with the fraudsters.

Machine learning can analyse vast datasets more quickly and accurately than traditional methods. However, it struggles with the non-linear aspects of financial data and in particular textual rather than numeric information. As such, applying advancements in deep learning could bolster machine learning and allow qualitative text found in corporate reports, such as the Management Discussion and Analysis (MD&A) section to be “understood” by fraud-detecting algorithms that might then spot the telltale signs of problematic corporate activity.

Chen’s dual-layer approach brings together financial data analysis and sentiment analysis. The use of bidirectional long short-term memory (BiLSTM) networks allows the system to interpret sequences of data, while a parallel network refines the key financial indicators using a convolutional neural network (CNN). Inconsistencies between the sentiment and the financial data can then be revealed. Tests showed a fraud-detection accuracy of 91.35%, with an “Area Under the Curve” of 98.52%. This surpasses traditional fraud-detection methods by a long way, Chen’s results suggest.

Chen, W. (2024) ‘Financial fraud recognition based on deep learning and textual feature’, Int. J. Information and Communication Technology, Vol. 25, No. 12, pp.1–15.

Free Open Access article available: "Technique for monitoring and recovering of the polarisation state in OPGW with influencing factors analysis"

The following paper, "Technique for monitoring and recovering of the polarisation state in OPGW with influencing factors analysis" (International Journal of Information and Communication Technology 25(12) 2024), 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 Process Management and Benchmarking

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

• Process for empowering rural women: finding a path to benchmark capacity building initiatives
• Smart irrigation systems enabled with internet of things: a bibliometric review
• Technological competencies attributes analysis using qualitative techniques in Indian manufacturing industry
• A simulation-based multi-objective optimisation for critical parameters design of an automotive paint shop using design of experiments
• Benchmarking the sustainable banking performance of Indian commercial banks
• Development of assessment framework for process agility in internet of things projects
• Effectiveness of National Rural Livelihood Mission schemes on the performance of self-help groups
• Tool geometry and machining variables influence on the surface roughness of end-milling process: a comparative study with application of RSM and GA tools and techniques

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.

• Financial fraud recognition based on deep learning and textual feature
• Risk assessment of e-commerce finance development based on blockchain algorithm in digital economy
• Research on a ship target detection method in remote sensing images at sea
• Emotion recognition of consumer comments based on graphic fusion
• Technique for monitoring and recovering of the polarisation state in OPGW with influencing factors analysis

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:

• Parental education and child labour: evidence from Pakistan
• Students' satisfaction from online learning: structural equation modelling analysis based on students' perception in higher educational institutions in India
• Entrepreneurial intentions: the role of parental self-employment
• Training in social entrepreneurship using educational videos: description of two different learning experiences
• Digital technologies adopted by universities to support entrepreneurial students' spin-offs
• The role of research-based spin-offs in innovation ecosystems
• Entrepreneurial university ecosystems: does the country's level of development differently affect the students entrepreneurial intention? A perspective from public universities in Spain and Mexico
• Weaknesses of entrepreneurship education in science, technology, engineering and mathematics education in developing countries: empirical evidence of Kosovo
• Culture and education as factors affecting entrepreneurship in Spain: an analysis of expert opinion
• Intrapreneurial intentions of undergraduate university students: a comparative study between Spanish and Nicaraguan students
• Entrepreneurs' perceptions of their entrepreneurial process: a qualitative analysis of in-depth interviews with education graduates in the Basque Country, Spain
• Crafting future entrepreneurs from emerging adults: what matters more - personality or context?
• Re-thinking human capital acquisition for entrepreneurship: a holistic multidimensional approach

Research pick: Art of the algorithm - "Intelligent judgement of calligraphy and painting image categories based on integrated classifier learning"

A new method for classifying calligraphy and painting images could be used in the management of cultural heritage, according to research published in the International Journal of Information and Communication Technology.

Nannan Xu OF Suzhou University in Suzhou, China, explains how technology is playing an ever useful role in the preservation and study of artwork and so there is a growing need to find recognition and categorisation tools. The work points out how there is an imbalance in the sample categories that can skew classification models, making it harder to achieve accuracy, and offers a novel solution to this problem. One that could improve accuracy and increase the versatility of image classification for artworks.

Xu introduces a classification method that builds on the AdaBoost algorithm. This machine learning tool works by combining multiple weak classifiers into a strong model and is bolstered by a dynamic training subset construction strategy (DWSCS). According to the research, this approach overcomes the imbalance wherein certain artistic styles are underrepresented. By using sample weights and adjusting how the model is trained on each subset of data, the new method overcomes this bias and so allows a more generalized approach to categorisation where rare artistic styles can be considered.

In cultural heritage, the management and preservation of artworks is critical. This new approach could streamline the cataloguing process for museums and galleries by automating the classification of diverse images. The potential is there for institutions to be able to handle large volumes of calligraphy and paintings efficiently. The same technology might also be useful not only in conservation but in education, offering art historians and students an easier way to analyse and understand the diverse techniques used across different periods and cultures.

Beyond the galleries, the technology might also be used in provenance and authenticity. The system could offer an objective, technology-driven method for verifying the origins of artworks, supporting trust in transactions and authentication processes for art collectors and investors.

Xu, N. (2024) ‘Intelligent judgement of calligraphy and painting image categories based on integrated classifier learning’, Int. J. Information and Communication Technology, Vol. 25, No. 11, pp.1–20.

Free Open Access article available: "Emotion recognition of consumer comments based on graphic fusion"

The following paper, "Emotion recognition of consumer comments based on graphic fusion" (International Journal of Information and Communication Technology 25(12) 2024), 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 Interdisciplinary Environmental Review

The following sample articles from the Interdisciplinary Environmental Review are now available here for free:

• Sustainability in a holistic business context: a debate on power and responsibility relations
• Exploring the synergy of green HRM, corporate entrepreneurship, and green innovation in enhancing environmental performance
• Analysing supporting mechanisms, cultural shaping and incentives for circular economy: the case of local governments
• Networked into a sustainable world - conclusions for leadership and education
• Mapping the decade of green human resource management research: bibliometric analysis

Free Open Access article available: "Research on a ship target detection method in remote sensing images at sea"

The following paper, "Research on a ship target detection method in remote sensing images at sea" (International Journal of Information and Communication Technology 25(12) 2024), is freely available for download as an open access article.

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

Research pick: Stop, look, and listen for smarter traffic flow - "Multi-intersection traffic flow prediction control based on vehicle-road collaboration V2X and improved LSTM"

A new method for managing urban traffic at multi-intersection networks is discussed in the International Journal of Information and Communication Technology. The research promises improvements in efficiency and adaptability, and by combining technologies could address the long-standing challenges of congestion and unpredictable traffic patterns in dense urban areas.

Renyong Zhang, Shibiao He, and Peng Lu of the Chongqing Institute of Engineering in Chongqing, China, suggest the use of vehicle-to-everything (V2X) technology could allow vehicles and infrastructure to exchange real-time data about road conditions and traffic. This continuous sharing of data would improve the way in which traffic management systems control traffic lights and speed and lane restrictions to smooth the flow of vehicles safely.

The system suggested by the team uses an improved long short-term memory (LSTM) model, a type of artificial intelligence designed for recognizing patterns and making predictions. By using a “sliding time window” update mechanism, the model can learn from real-time data while maintaining historical context. By balancing the two, faster adjustments to traffic flow can be made while reducing the overall computational load on the system and cutting prediction times in half.

The team has carried out simulations and demonstrated that such an approach might reduce average vehicle delays by just under a third and increase road “throughput” by almost 15 percent. The result would be shorter travel times and smoother traffic flow. This should also improve fuel consumption and reduce overall vehicle emissions.

Conventional traffic management systems use historical data or limited real-time inputs, and so cannot respond to actual road conditions at a given time without manual input. Such systems are useful in less complex traffic scenarios, but struggle to handle rapid and unpredictable changes in traffic, particularly in larger, interconnected networks. The newly proposed system addresses these limitations by offering more responsive and precise adjustments.

Zhang, R., He, S. and Lu, P. (2024) ‘Multi-intersection traffic flow prediction control based on vehicle-road collaboration V2X and improved LSTM’, Int. J. Information and Communication Technology, Vol. 25, No. 11, pp.52–68.

Free sample articles newly available from International Journal of Technology Enhanced Learning

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

• How to provide intelligent assistance to learners in e-learning environments?
• How does entrepreneurship education promote creativity and innovation?
• Designing game-driven augmented-reality scenarios with real-world implications to facilitate intercultural exchange: the alien scenario
• The use of generative music in nonlinear music composition for video games
• Expectation shock in education: utilising industry SERVQUAL to enhance student perception of STEAM and STEAM careers

Free Open Access article available: "Risk assessment of e-commerce finance development based on blockchain algorithm in digital economy"

The following paper, "Risk assessment of e-commerce finance development based on blockchain algorithm in digital economy" (International Journal of Information and Communication Technology 25(12) 2024), 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 Teaching and Case Studies

The following sample articles from the International Journal of Teaching and Case Studies are now available here for free:

• A future population of mediocracy
• Launching AI marketing solutions for small and medium enterprises in Morocco: a teaching case study
• The impact of artificial intelligence on environmental, social and governance investing: the case of Nexus FrontierTech
• "Somehow I made it a force". How a disabled entrepreneur leveraged his self-identity in the workplace as a competitive advantage?
• Social media and the court of public opinion

Free Open Access article available: "Financial fraud recognition based on deep learning and textual feature"

The following paper, "Financial fraud recognition based on deep learning and textual feature" (International Journal of Information and Communication Technology 25(12) 2024), 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: "Supplier relationship management approaches for diffusing social sustainability in supply chains: a systematic literature review"

The following paper, "Supplier relationship management approaches for diffusing social sustainability in supply chains: a systematic literature review" (International Journal of Procurement Management 21(5) 2024), 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 Procurement Management

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

• Impact of strategic procurement participation and role conflict on procurement performance: a perspective of municipal and district assemblies in the Upper East Region of Ghana
• Exploring the impact of electronic procurement on buyer-supplier relationship in the Jordanian pharmaceutical industry: an empirical study
• Focusing on risk and risk management practices in construction projects through the lens of a proposed smart model
• The contribution of the procurement process to financial performance: a case study of the sugar-energy sector
• Does COVID-19 affect non-performing loans at commercial banks in Vietnam?
• Sustainable procurement practices and sustainable performance: evidence from small and medium-sized manufacturing enterprises in an emerging economy

Free Open Access article available: "Comparing IT tools used by a sample of BIM- and PLM-supported industries for design/engineering change management"

The following paper, "Comparing IT tools used by a sample of BIM- and PLM-supported industries for design/engineering change management" (International Journal of Product Lifecycle Management 15(4) 2024), 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 Learning and Change

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

• Experiential learning with horses for leadership and communication skills development: toward a model
• Past and future of Industry 4.0: a bibliometric review using bibliometrix and VOSviewer
• The relationship between higher order thinking skills and critical thinking of gifted talented students
• Toward the anthropology of general education: a Thailand experience
• A guidebook for the integration of financial literacy to mathematics courses