This paper presents KATH - a No-coding Data Processing system designed to assist genetic researchers at Harvard University in their work on mutations in the human genome related to eyesight pathologies. We aim to depl...
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Emotion recognition based on physiological signals has become a crucial area of research in affective computing and human-computer interaction, with applications in smart homes, workplaces, educational institutions, h...
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ISBN:
(纸本)9791188428137
Emotion recognition based on physiological signals has become a crucial area of research in affective computing and human-computer interaction, with applications in smart homes, workplaces, educational institutions, healthcare, and entertainment. In this study, a real-time emotion recognition system utilizing fog computing architecture was developed by considering the challenges of latency, total response time, resource usage, and security in IoT environments. The random forest machine learning model was trained with time-based statistical features by using the DREAMER dataset. Even though the model achieved an accuracy of 84.21% with 104 features, to meet real-time performance requirements, the system was optimized to calculate 24 features, maintaining a commendable accuracy of 79.70%. Extensive experiments demonstrated the superior performance of fog computing compared to edge and cloud computing in terms of latency, queuing delay, jitter, and most importantly total response time. The results highlight the proposed system's ability to support multiple users simultaneously. Copyright 2025 Global IT Research Institute (GIRI). All rights reserved.
Emotional well-being is a growing concern in Malaysia, and this study aims to address it by proposing the mobile application 'Crochet-Together' as a tool to promote positive emotional well-being among young ad...
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The Internet of Things (IoT), a rapidly expanding and constant technology today, enables the efficient exchange of information and control of electronic equipment. As technology grows more and more integrated into our...
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Digital image processing, also known as computer image processing, refers to the process of converting image signals into digital signals and processing them using computers. Digital image processing first appeared in...
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Today, driven by new technologies such as cloud computing, big data, the Internet of Things and artificial intelligence, the era of artificial intelligence has arrived. "Digital transformation" has become th...
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Oral cancer is a widespread global issue, significantly impacting low- and middle-income countries. Early detection can drastically improve survival rates, but traditional methods have proven to be insufficient. This ...
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Attackers and hackers employ many tactic known as phishing, cyber-attacks, dos attacks DOS attacks, man in middle attacks etc to damage trustworthy URLs as well as important websites. In this research, we discussed va...
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Cloud computing and big data analytics are two rapidly growing fields in technology industry. The way that organizations store, handle, and analyze their data has been changed by cloud computing. Big Data Analytics ha...
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Electrocardiograms (ECG) are essential tools for diagnosing cardiovascular diseases, yet traditional ECG identification relies on the experiential interpretation by doctors, which is time-consuming and subject to subj...
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