This study addresses the challenges of cheating and illegal access in online exams, maintaining academic integrity with an AI-powered web-based monitoring *** we uses COCO-SSD to detect misconduct such as many faces, ...
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Vehicle re-identification (Re-ID) has emerged as a critical challenge in the fields of computer vision and intelligent transportation systems, driven by the need to accurately identify vehicles across multiple camera ...
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The influence of macroeconomic indicators on stock market movement continues to attract attention, particularly in emerging markets, especially countries such as India. The objective of this study is to predict NIFTY ...
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Fake news on online platforms is spreading at a rapid rate, posing great threats to social, political, and economic stability in linguistically diverse regions like Kerala, India. This paper reviews comprehensively th...
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Low birth weight (LBW) is a significant global issue with various associated dangers. LBW is an important determinant of neonatal health, affecting infant mortality and long-term outcomes. There is a strong correlatio...
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Malaria is caused by Plasmodium parasites and remains a serious threat to health worldwide, with high morbidity and mortality rates. However, effective treatment depends on the accurate and fast diagnosis of malaria, ...
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In order to improve our understanding of brain function, monitoring the depth of unconsciousness during anesthesia is essential for both clinical practice and neuroscience research. The electroencephalogram (EEG) is a...
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Social media39;s widespread use has made it easier for people to communicate openly, but it has also fuelled the growth of cyberbullying, which has seriously harmed victims39; emotional and mental health. The intr...
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This study designs and implements a bridge health monitoring system based on machine learning. The system adopts a four-layer architecture, including data acquisition, processing, analysis and decision-making, and use...
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Deep neural networks trained on large datasets have achieved good results in image denoising. However, networks trained on specific datasets often have poor generalization, which is not conducive to practical applicat...
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