User identification is explored through EEG-based biometric analysis using different auditory stimuli, using the distinctiveness and security of EEG signals for reliable biometric authentication. The impact on system ...
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The development of a question-answer chatbot involves leveraging advanced embedding techniques to optimize language understanding and response generation. The process begins with curating a diverse dataset of question...
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This study focuses on development of a secure and efficient image cryptosystem optimized for IoT devices. The proposed technique addresses the and resource constraints of IoT devices, it introduces a hybrid encryption...
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The advancement of AI-technologies has brought both innovation and considerable challenges particularly with the emergence of deep fakes-realistic but false images, videos or audios created using deep learning algorit...
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The management of traffic in urban environments has become increasingly complex due to rapid urbanization and the growing number of vehicles on the road. This literature review synthesizes research on various traffic ...
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Renewable energy generation power fluctuates with a high degree of randomness. Therefore, to ensure the accuracy of distribution system state estimation, it is urgent to take more consideration of various uncertaintie...
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This study investigates the design and execution of an automated attendance tracking system using facial recognition CCTV based. Facial recognition technology and CCTV cameras are integrated in this system to provide ...
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In this paper, a small-target UAV intrusion detection algorithm based on improved YOLOv8 in hazy environment is investigated. Aiming at the problem that the traditional YOLOv8 algorithm cannot extract the UAV features...
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In this paper, we have discussed isogeny-based cryptography as a rather appealing option for post-quantum security. We provide analysis of current protocols like SIDH (Supersingular Isogeny Diffie-Hellman) and SIKE (S...
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The process of converting natural language requirements and visual models into executable software code remains an ongoing challenge in software engineering. We developed an intelligent system that adopts Natural Lang...
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