Internet of Things applications are on the rise within different areas of health and medical service. With this rapid rise of these applications, threat actors become more interested in targeting such devices. Within ...
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The development of a virtual reality platform through human-computer interaction (HCI) is obtained using deep learning with a genetic algorithm. The human-computer interaction forms a bridge between users and the VR s...
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The rapid development of the Internet of Things and big data has brought about massive amounts of data and the need for real-time responses, which traditional computing models can no longer meet. Edge computing comes ...
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Brain tumors represent a significant and often life-threatening medical challenge, demanding accurate and timely diagnosis for effective treatment planning. In this study, we will be comparing various deep learning ar...
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The detection and recognition of sprockets and springs play an important role in ensuring the optimal functionality and safety of various mechanical systems. This abstract gives an overview of the methodologies and ad...
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In this study, the researchers investigate the mutually beneficial relationship that exists between machine learning (ML) and big data, highlighting both the benefits and the challenges that are brought about by the c...
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Performance variability is common in HPC applications, due to factors such as job scheduling, resource contention, and network traffic. We propose a machine learning-based model to predict performance variability in h...
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Over the past few decades, classification has consistently posed a significant computational challenge. This study presents an innovative ensemble classification model designed for data classification, drawing inspira...
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An uncountable number of computational resources are shared for various applications using a transformative technology called Cloud computing. It is an emerging technology that can offer scalable and on-demand resourc...
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One of job recruiters' biggest challenges is selecting a suitable resume from the pool of resumes. For a single role, thousands of candidates send their resumes. Manually selecting the resume from a large number o...
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