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The cost of open access: comparing public projects’ budgets and article processing charges expenditure
Open Access (OA) publication often entails payment of Article processing charges (APCs), particularly in the so-called Hybrid and Gold journals. The...
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Linguistic perspectives in deciphering citation function classification
Understanding citations within their context is a complex task in information science, critical for bibliometric analysis. The study of citation...
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Application of social justice theory in online learning: A comparison of rural and urban students on perceived learning effectiveness in pre and during COVID-19 era
The current study was conducted to identify the perceived effectiveness of online learning systems for urban and rural students of higher education...
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An initial user model design for adaptive interface development in learning management system based on cognitive load
The cognitive aspect is crucial in develo** interactive and adaptive systems, including learning management systems (LMS). By understanding human...
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De-confounding representation learning for counterfactual inference on continuous treatment via generative adversarial network
Counterfactual inference for continuous rather than binary treatment variables is more common in real-world causal inference tasks. While there are...
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Exploring the potential of Easy Language for enhancing website sustainability
Sustainable design principles have become increasingly important in website development, mainly focusing on reducing carbon emissions and energy...
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Secure electronic monitoring of sex offenders
Electronic monitoring is a viable approach to controlling sex offenders and making the environment safe for victims. Two technologies are currently...
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An efficient approach of epilepsy seizure alert system using IoT and machine learning
Epilepsy is a neurological disorder that affects millions of people worldwide, and it is characterized by recurrent seizures that can vary in...
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Emergent cooperation from mutual acknowledgment exchange in multi-agent reinforcement learning
Peer incentivization (PI) is a recent approach where all agents learn to reward or penalize each other in a distributed fashion, which often leads to...
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Gradient-based explanation for non-linear non-parametric dimensionality reduction
Dimensionality reduction (DR) is a popular technique that shows great results to analyze high-dimensional data. Generally, DR is used to produce...
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Learner acceptance of video conferencing technologies and e-professionalism
As institutions continue blended or hybrid learning, video conferencing in education remains central. This study investigates learner acceptance with...
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Applying the Gollin effect to design VR for stargazing, and exploring the correlates between participants’ VR self-efficacy, interest, frustration, flow experience and learning outcomes
Stellar observation, encompassing the study of star formation, stellar properties, and the governing physical laws, presents a readily accessible...
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Enhancing racism classification: an automatic multilingual data annotation system using self-training and CNN
Accurate racism classification is crucial on social media, where racist and discriminatory content can harm individuals and society. Automated racism...
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Examining ALS: reformed PCA and random forest for effective detection of ALS
ALS (Amyotrophic Lateral Sclerosis) is a fatal neurodegenerative disease of the human motor system. It is a group of progressive diseases that...
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Ready or not? Investigating in-service teachers’ integration of learning analytics dashboard for assessing students’ collaborative problem solving in K–12 classrooms
Collaborative problem solving (CPS) has emerged as a crucial 21st century competence that benefits students’ studies, future careers, and general...
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TOPCOAT: towards practical two-party Crystals-Dilithium
The development of threshold protocols based on lattice-signature schemes has been of increasing interest in the past several years. The main...
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Explainable decomposition of nested dense subgraphs
Discovering dense regions in a graph is a popular tool for analyzing graphs. While useful, analyzing such decompositions may be difficult without...
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Multi-task learning and mutual information maximization with crossmodal transformer for multimodal sentiment analysis
The effectiveness of multimodal sentiment analysis hinges on the seamless integration of information from diverse modalities, where the quality of...
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Emotion AWARE: an artificial intelligence framework for adaptable, robust, explainable, and multi-granular emotion analysis
Emotions are fundamental to human behaviour. How we feel, individually and collectively, determines how humanity evolves and advances into our shared...
