This paper presents a novel technique for enhancing the allocation of resources in the charging infrastructure for e-bikes by employing deep reinforcement learning (DRL) in a context-specific manner. With the evolving...
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This study addresses the critical need for automated question difficulty classification in educational settings. By leveraging the DistilBERT model and Explainable AI (XAI) techniques, we aim to enhance the accuracy a...
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This research demonstrates a novel approach for evaluating teacher performance by conducting aspect-based sentiment analysis (ABSA) on student feedback. A large dataset of over 2 million student comments about teacher...
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Reentrancy is a type of attack that can occur in smart contracts, enabling untrusted external code execution within the contract. This method exploits a vulnerability that allows an attacker to repeatedly invoke a fun...
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Non-destructive testing techniques for fruit quality analysis have gained importance over the years. Hyperspectral image processing is one of the important non-destructive, cost-effective, rapid, and reliable quality ...
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The online education platform is a typical Internet scenario. As an online education platform, the platform faces many users, including students, teachers, and adult users. The system positioning determines that the p...
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This research investigates the application of deep learning techniques, including Deep Convolutional Neural Networks (DCNNs) and Conditional Generative Adversarial Networks (CGANs), for enhancing the quality of underw...
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Phishing attacks present an enduring and pervasive threat in the digital realm, with cybercriminals continuously devising innovative techniques to deceive users and compromise sensitive information. This paper focuses...
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Everyone knows that pollution is becoming worse and worse, and that this is contributing to a sharp increase in global mortality rates;nevertheless, 'Air-Pollution' is particularly harmful to humans. Air pollu...
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Automated feature learning is now possible in various fields, including healthcare, image recognition, and, more recently, feature extraction and classification of simple and complex human activity detection in mobile...
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