Titlebook: Evolution in Computational Intelligence; Frontiers in Intelli Vikrant Bhateja,Sheng-Lung Peng,Yu-Dong Zhang Conference proceedings 2021 The

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Conference proceedings 2021ation, evolutionary computing, intelligent e-learning systems, machine learning, mobile computing, and multi-agent systems. As such, it is a valuable reference resource for postgraduate students in various engineering disciplines..

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Mu. Ramkumar,K Kumaraswamy,R. Mohanraj-machine interfaces with five distinct control signals including rest. A significant observation in this study was that a single artificial neural network taking inputs from all sensors simultaneously gives inferences with better accuracy compared to a system with a separate neural network for each

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Environmental Microbial Biotechnologybase for future reference and correction by instructors. The software stack used for the system is free and open-source. The prototype system was launched on a pilot run, gaining positive feedback from students and teachers. Hence, such a system can undergo comprehensive implementation in educationa

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https://doi.org/10.1007/978-1-4615-8537-4aking account of the coarse-grained local features generated via CNN and long-range dependencies learned through RNN for analysis of small text messages. Furthermore, the proposed model is evaluated for both binary and fine-grained analyses tested over two different datasets. The accuracy of 87% is