Abstract: This paper presents a Q-Iearning-based adaptive multipath routing algorithm designed specifically for data center networks. By leveraging the discrete nature of Q-Iearning, the proposed ...
Abstract: Federated learning allows users to collaboratively train models, but studies have shown that local model parameters may leak users’ privacy. Furthermore, the global model in federated ...
Abstract: Brain structural magnetic resonance image (MRI) is a very useful way to learn about the structure and function of the brain. For doctors, finding and classifying brain tumor (BT) is a ...
Abstract: In response to escalating market demands, we extend the distributed assembly flowshop problems (DAFSPs) by incorporating batch delivery, optimizing both total energy consumption (TEC) and ...
Abstract: This research aims to explore the use of modern complex defensive machine learning algorithms in the provision of predictive analytics for health improvement. Incorporating electronic health ...
Abstract: With the increasing demand of high-precision data acquisition card in application, noise suppression in the process of signal acquisition becomes very important. The existence of noise will ...
Abstract: This study presents deep learning models' design, implementation, and evaluation to generate personalized learning paths in educational environments. Data was collected from diverse sources, ...
Abstract: This electronic Digital information, computer systems, networks, and data are highly in need of protection from damage, unauthorized access, and internal and external threats. Cyber security ...
Abstract: Permanent magnet (PM) electrical machines are an ever increasingly utilised motor topology for numerous industries such as automotive, aerospace, manufacturing, energy and premium consumer ...
Abstract: With the emergence of computing-intensive vehicular applications, limited on-board computing resources become insufficient to meet the computing requirement of many vehicular applications.
Abstract: Protein-protein interaction (PPI) networks play a vital role in the functional organization of cellular systems. Recurring subgraph patterns with these networks, known as motif structures, ...
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