Pandemic bringing a change in the medical system and medical infrastructure. This requires a complete revamping of medical data collections and storage. In such a scenario there has to be a system which enables the ef...
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China is currently the largest export market for Thai durians, and several studies have shown that China will maintain this position for a long time to come. At the same time, under the implementation of the Regional ...
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The work solves the problem of classifying nanocomposites using computer vision technology in conditions where microscopy images obtained for training cannot be used centrally for training for various confidentiality ...
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Cloud computing provides scalable and adaptable infrastructure however is significantly susceptible to cyber-attacks. This work presents a hybrid methodology that integrates the GOA and GA for feature selection, along...
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Multi-domain networks, consisting of interconnected management domains with distinct control mechanisms, introduce unique cybersecurity challenges that are often overlooked in current research. This paper addresses th...
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With the development of the Internet of Things (IoT), people's lives have become more intelligent. However, the proliferation of numerous small devices has also introduced serious risks to network security. Networ...
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Sidechain technology aids in building lightweight and rapid-response blockchain services in resource limited Internet of Things (IoT) environments, yet the low trust model of sidechains is a concern. The restaking mec...
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The swift progression of deepfake-generating technologies has elicited much apprehension about their potential misuse in digital media, necessitating the development of efficient detection methods. This research aims ...
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Deep learning, a cutting-edge approach of machine learning, surpasses classical machine learning when it comes to detecting particular structures in complicated, high-dimensional data in the area of computer vision. T...
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With the rise of wearable sensors and smart devices, human activity recognition (HAR) has become a vital research area in ubiquitous computing. Although many studies report high accuracy using k-fold cross-validation,...
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