The following International Journal of Business Information Systems article, "Social media marketing role on online purchasing decisions in Indonesia", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Simulation and Process Modelling article, "Multimodal pose estimation and simulation modelling for real-time human motion analysis", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Industrial and Systems Engineering article, "Research on immersive experience of packaging design based on virtual reality and semantic segmentation algorithm", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
A high-precision approach to predicting university student academic performance and flagging those students at risk of dropping is reported in the International Journal of Internet Manufacturing and Services. The approach combines machine learning with advanced optimisation techniques inspired by natural processes to help universities identify students that are struggling sooner rather than later and allow them to tailor support before problems escalate.
The approach uses a Gaussian Process Classifier (GPC), a statistical model that estimates the likelihood of particular outcomes based on complex, multidimensional data. The GPC is enhanced using an optimisation algorithm inspired by nature, following the way in which organisms locate sources of scent to allow the system to home in on an accurate solution to the question. In addition, it uses a Particle Velocity Search Algorithm (PVSA), based on the collective movement of particles in a fluid. This combination allows the system to fine-tune its parameters to detect subtle patterns in the data regarding student performance, attendance, marks, and engagement levels. In tests, the system could accurately discern which students needed additional support or guidance.
Traditional monitoring methods, while invaluable, often fail to spot early signs of academic difficulty. By contrast, the new model, through the analysis of large datasets, can detect individual behaviour and achievement that change over time and indicate problems earlier.
The work might allow universities to make better data-driven decisions regarding academic support and the distribution of resources, as well as reducing student dropout rates. The researchers suggest that categorising students by learning patterns rather than simple grades could help institutions design more equitable and personalised educational experiences.
Huang, K. and Wang, C. (2025) ‘Utilising a Gaussian process classifier integrating with meta-heuristic optimisers to predict and classify performance systems’, Int. J. Internet Manufacturing and Services, Vol. 11, No. 5, pp.1–30.
The following International Journal of Automation and Control article, "Design of a model predictive-based fault estimator for faulty nonlinear switched dynamics with guaranteed recursive feasibility", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Innovative design of ceramic products based on extension reasoning and generative adversarial networks", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Virtual landscape layout generation using physically constrained particle swarm optimisation", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Research on optimisation of remote monitoring network for power systems based on satellite and wireless communications", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The common vernacular of YOLO, you only live once, and FOMO, fear of missing out, lead many people to yo-yo up and down between anxiety states. Research in the International Journal of Economics and Business Research, has looked at the role of self-esteem when people have that FOMO feeling in the context of conspicuous consumption (COCO).
The research shows that FOMO can nudge people to spend more on goods that display status or success than they otherwise would. The research also shows that this effect operates partly by eroding self-esteem, prompting individuals to seek reassurance and validation through conspicuous consumption of material possessions. The conclusions were drawn after an analysis of survey results from 561 employed adults in mainland China.
The analysis revealed that people who feel stronger FOMO are markedly more likely to engage in such spending. At the same time, the researchers found that FOMO reduces a person’s sense of worth, their self-esteem. One might think of it as being the psychological equivalent of comfort eating, but it is the unnecessary consumption of high-prestige and other possessions rather than the inappropriate ingestion of food. The acquisition of possessions becomes the means by which the consumer attempts to restore their self-worth and social standing. Rarely is comfort eating or such conspicuous consumption of long-term benefit to the individual.
The results suggest that the relationship between FOMO and conspicuous consumption operates on two levels: a direct urge to keep up with others, and an indirect process in which reduced self-esteem fuels the desire for visible affirmation. Those with stronger self-esteem appear more resilient to these pressures, relying on internal rather than external sources of validation.
Gender did not emerge as influencing factor, men and women were equally prone to the issues. However, age did have an effect with older participants less affected by FOMO than younger people, suggesting that age brings greater emotional maturity and less dependence on external validation.
Jiang, Z-W. and Chang, S-Y. (2025) ‘The impact of fear of missing out on conspicuous consumption: the mediating role of self-esteem’, Int. J. Economics and Business Research, Vol. 29, No. 18, pp.1–19.
The following International Journal of Information and Communication Technology article, "Multi-spectral remote sensing image land classification algorithm for unmanned aerial vehicles targeting transmission line corridors", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Student career guidance using sentiment analysis and decision tree models", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Green Economics article, "Sustainable consumer choices: the role of green products, pricing, and marketing in Indonesia's tissue industry", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Research in the International Journal of Industrial and Systems Engineering discusses an immersive packaging design system that brings together virtual reality (VR) and advanced image analysis to create a more intuitive and realistic way of developing new products. The research suggests that this new approach could allow designers and consumers to experience packaging in three dimensions, exploring how materials, textures, and layouts will look and work before the produced is actually manufactured.
The usual approach to design in this area relies on two-dimensional renderings that do not always capture the depth or tactile qualities of packaging. The new system overcomes these limitations by allowing users to enter a virtual environment where they can view and manipulate designs as if handling real objects. In this virtual world, the designers might look at how labelling fits around bottles or how colours behave under different lighting. From the consumers’ perspective, testers can pick up and inspect products virtually, gaining a clearer sense of scale and usability and so feed back their feelings to the designers and developers.
The research uses semantic segmentation, which automatically identifies and separates different visual elements in packaging images, the logos, text, and materials, at the pixel level for optimal precision. This approach allows each component to be edited individually within the virtual space. This means that developers don’t have to rely on static mock-ups, designers can test variations instantly, and marketing teams can assess how small adjustments might affect user perception or emotional response.
The use of virtual reality with intelligent design tools suggests a new direction for packaging design. The work marks a shift towards more interactive, human-centred design approaches that brings together creative intent and consumer experience.
The next step in the research would be to develop touch and sound feedback, so that the art of packaging design comes even closer to the sensory qualities of a real prototype in the real world.
Ye, X., Tan, J. and Du, B. (2025) ‘Research on immersive experience of packaging design based on virtual reality and semantic segmentation algorithm’, Int. J. Industrial and Systems Engineering, Vol. 51, No. 5, pp.1–18.
The following International Journal of Electronic Marketing and Retailing article, "How customer expectations drive loyalty to food delivery app brands", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "An intelligent analysis model for enhancing rural e-commerce sales efficiency in live streaming environments", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Social media sentiment diffusion modelling algorithms for brand communication", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
A new artificial intelligence system discussed in the International Journal of Simulation and Process Modelling could help make school and university sports safer and more effective. The system can analyse video of human movements in real time and combine this with data from sensors to understand those movements. The analysis can identify movements that would be unclear to a human observer because they are fast, unpredictable or hidden from view. The researchers suggest it will be a boon in physical education and how it is taught and monitored.
Current “pose recognition” tools use computer vision to identify human postures but often struggle with the complexities of real-world sports. Movements are usually irregular and constantly changing in most sports. The new system tackles this underlying problem by combining visual information with data from motion sensors, and then building on embedded simulations to allow it to interpret and predict movements as they happen.
The team tested their system on established benchmark datasets, including Human3.6M and the team’s own CollegeSports-200 collection. They achieved almost 97 per cent accuracy. They kept the error count caused by visual obstructions low and with a frame rate of 38 frames per second, the system is fast enough to deliver live feedback. In field trials, they also had encouraging results as students were guided based on the system’s analysis and were seen to improve on poor posture and results when their teachers had a clearer picture of fitness patterns across groups.
The team suggests this novel approach could lead to more adaptive, evidence-based physical education. Such an approach uses data directly to plan improved exercise and practice, and even to cut the potential for injuries.
Chen, D., Ni, Z. and Huang, W. (2025) ‘Multimodal pose estimation and simulation modelling for real-time human motion analysis’, Int. J. Simulation and Process Modelling, Vol. 22, No. 5, pp.1–10.
Research in the International Journal of Automation and Control describes a novel mathematical framework that can estimate fault risk in complex industrial systems, such as petrochemical reactors. The research might improve reliability of automated processes in the petrochemical sector and in other areas of advanced manufacturing.
The work builds on a predictive defect estimation model. It works for switched non-linear the behaviour of which alternates between different operating modes depending on conditions or control inputs. This is a common modality of chemical reactors, robotic platforms, and automated processes. The accurate prediction of imminent issues with such systems has always been a challenge because system response can vary widely with changing inputs, environmental conditions, and internal dynamics.
By using a mathematical representation of the system, a so-called augmented state-space model, variables describing the current condition of the system and failure signals, which indicate the presence of faults, the new model can evaluate how closely a system’s predicted behaviour matches its actual behaviour. Discrepancies between the two are analysed statistically by the model to home in on whether the system is stable or liable to fail.
The researchers point out that traditional fault detection methods have always been limited by restrictive assumptions about system dynamics. The new approach allows for continuous real-time monitoring in industrial environments. Tests with a stirred tank reactor as a standard benchmark for modelling chemical reactions gave fault-free accuracy within 0.05 and successfully detecting both constant and time-varying faults. The current system works to detect faults that develop gradually. Real-world industrial settings introduce additional complexities, such as abrupt faults, high-frequency disturbances, and measurement noise, all of which will require further refinement of the model.
Wang, L. (2025) ‘Design of a model predictive-based fault estimator for faulty nonlinear switched dynamics with guaranteed recursive feasibility’, Int. J. Automation and Control, Vol. 19, No. 7, pp.1–22.
The following International Journal of Information and Communication Technology article, "A news content recommendation model integrating social relationships and temporal features", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
