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Toward fair graph neural networks via real counterfactual samples
Graph neural networks (GNNs) have become pivotal in various critical decision-making scenarios due to their exceptional performance. However,...
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Psychosocial factors that favor citizen participation in the generation of scientific knowledge
BackgroundCitizen participation in the generation of scientific knowledge is one of the major challenges facing science and technology systems. This...
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Aspect-based drug review classification through a hybrid model with ant colony optimization using deep learning
The task of aspect-level sentiment analysis is intricately designed to determine the sentiment polarity directed towards a specific target within a...
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Advancing automotive high-performance computing: integrating direction API with LORA technology in unified machine vision for future smart cars
This manuscript addresses the challenges in develo** Automotive High-Performance Computing (HPC) systems for Future Smart Cars and Unmanned Mobile...
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Towards optimal score level fusion for adaptive multi-biometric authentication system
Multi-biometric authentication systems have been extensively investigated due to their merit over unimodal systems. Multi-biometric systems not only...
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Energy-efficient virtual machine placement in heterogeneous cloud data centers: a clustering-enhanced multi-objective, multi-reward reinforcement learning approach
Efficient virtual machine (VM) placement is vital for optimizing the performance of cloud data centers. While recent studies have addressed this...
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Cooperative coati optimization algorithm with transfer functions for feature selection and knapsack problems
Coatis optimization algorithm (COA) has recently emerged as an innovative meta-heuristic algorithm (MA) for global optimization, garnering...
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Privacy-preserving cross-domain recommendation using hybrid federated transfer learning
Cross-domain recommender systems, which serve as a panacea to data sparsity and cold-start problems, are increasingly vital for providing...
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Skin Lesion Classification via ensemble method on deep learning
Deep neural networks have shown promising results in the classification of skin lesion images, particularly when they focus on the most significant...
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Vehicle-infrastructure cooperative 3D target detection based on Feature Prediction Atrous Spatial Pyramid Pooling Net
Due to wireless communication delays in actual Vehicle-Infrastructure Cooperation (VIC) data transmission, the misalignment in time and space of the...
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Text summarization based on semantic graphs: an abstract meaning representation graph-to-text deep learning approach
Nowadays, due to the constantly growing amount of textual information, automatic text summarization constitutes an important research area in natural...
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Information flow control for comparative privacy analyses
The prevalence of web tracking and its key characteristics have been extensively investigated by the research community by means of large-scale web...
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A quantitative analysis of the security of PoW-based blockchains
This study analyzes the security implications of Proof-of-Work blockchains with respect to the stale block rate and the lack of a block verification...
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A method for recognizing facial expression intensity based on facial muscle variations
Expression intensity recognition is a research problem in the field of computer vision and pattern recognition, which can be understood as the...
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Cyber intrusion detection using dual interactive Wasserstein generative adversarial network with war strategy optimization in wireless sensor networks
Wireless sensor network (WSN) is one of the essential components of a multi-hop cyber-physical system comprising many fixed or moving sensors. There...
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Dual strategy for single image denoising and generation using deep neural network
Removing noise in the real-world scenario has been a daunting task in the field of natural language processing. Research has shown that Deep Neural...
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Intelligent and efficient task caching for mobile edge computing
Given the problems with a centralized cloud and the emergence of ultra-low latency applications, and the needs of the Internet of Things (IoT), it...
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UDCT: lung Cancer detection and classification using U-net and DARTS for medical CT images
Lung cancer is the most fatal disease in recent times. Early detection of the same is very crucial and challenging task. Therefore, proper diagnostic...
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Multitask EfficientNet affective computing for student engagement detection
In the realm of education, feedback emerges as a pivotal component, serving to foster engagement and interaction while also facilitating the...
