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Negative-sample-free knowledge graph embedding
Recently, knowledge graphs (KGs) have been shown to benefit many machine learning applications in multiple domains (e.g. self-driving, agriculture,...
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The impact of virtual and augmented reality on presence, user experience and performance of Information Visualisation
The fast growth of virtual reality (VR) and augmented reality (AR) head-mounted displays provides a new medium for interactive visualisations and...
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A robust hubness-based algorithm for image data stream classification
Image data stream classification is in high demand and can be used in various contexts, such as public security, medicine, and remote sensing....
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Video anomaly localization using modified faster RCNN with soft NMS algorithm
Localization of anomalies in surveillance videos is a critical component of smart and intelligent surveillance systems. The goal of anomaly detection...
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Principal components-based quantification of hierarchical k-core assortativity
Hierarchical networks typically get rated to be not assortative on the basis of the degrees of the end vertices of the edges. However, degree...
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An efficient facial emotion recognition using convolutional neural network with local sorting binary pattern and whale optimization algorithm
Facial emotion recognition is one of the fields of machine learning and pattern recognition. Facial expression recognition is used in a variety of...
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Development of a leech-inspired peristaltic crawling soft robot for intestine inspection
The development of a non-destructive and patient-friendly method for examining the intestines is crucial for early prevention and timely diagnosis of...
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The mediating role of mobile learning motivation in the relationship between pre-service teachers’ digital literacy and pre-service teacher identity
This study is significant as it seeks to establish the connection between the digital literacy levels of pre-service teachers and their teacher...
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Similarity-based face image retrieval using sparsely embedded deep features and binary code learning
Human face retrieval has long been established as one of the most interesting research topics in computer vision. With the recent development of deep...
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High School English Teachers Reflect on Their Talk: A Study of Response to Automated Feedback with the Teacher Talk Tool
We present the Teacher Talk Tool, which automatically analyzes classroom audio and provides formative feedback on key aspects of teachers’ classroom...
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How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses
One-on-one tutoring is widely acknowledged as an effective instructional method, conditioned on qualified tutors. However, the high demand for...
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From large language models to small logic programs: building global explanations from disagreeing local post-hoc explainers
The expressive power and effectiveness of large language models (LLMs) is going to increasingly push intelligent agents towards sub-symbolic models...
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Multi-task scheduling in vehicular edge computing: a multi-agent reinforcement learning approach
Vehicular Edge Computing (VEC) represents a computational paradigm designed to optimize vehicular performance and enhance vehicle services. It...
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Optimization of Information Retrieval Systems for Learning Contexts
The majority of Sub-Saharan African countries are facing a very negative teacher-learner ratio: one teacher for over 120 learners. In order to...
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Recent advances in 3D Gaussian splatting
The emergence of 3D Gaussian splatting (3DGS) has greatly accelerated rendering in novel view synthesis. Unlike neural implicit representations like...
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Robot remote control using virtual reality headset: studying sense of agency with subjective distance estimates
Mobile robots have many applications in the modern world. The autonomy of robots is increasing, but critical cases like search and rescue missions...
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Navigating in a space of game views
Game-theoretic modeling entails selecting the particular elements of a complex strategic situation deemed most salient for strategic analysis....
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Analyzing resilient attention management of expert operators using functional resonance analysis method
Manufacturing worksites have developed to have a socio-technical aspect with complex interactions between human operators, automated machines, and...
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AI Ethics, the Neuralink Enigma, and Statistical Inference as the Anticlimax of Machiavelli’s Prince
Elon Musk’s Neuralink, one more company hopes to dominate the brain-computer interface (BCI) market, has implanted a brain-reading device into a...
