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Titlebook: Soft Computing and Signal Processing; Proceedings of 6th I Hushairi Zen,Naga M. Dasari,S. Srinivasa Rao Conference proceedings 2024 The Edi

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Convolutional Neural Network and Recursive Feature Elimination Based Model for the Diagnosis of Mils using Recursive Feature Elimination are then used to accomplish the task. Empirical analysis has been done to select the parameters of the CNN. The results are better than the state of the art and pave way for the exploitation of the Deep Learning models to classify the Converts and the Non-converts.
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Secure Identity Based Authentication for Emergency Communications,protection, and authentication. It is also resistant to attacks depending on authentication and privacy. The proposed technique performs efficiently with less communication and computing cost when its performance is compared with recent schemes.
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IoT-Based Smart Wearable Devices Using Very Large Scale Integration (VLSI) Technology,arable devices are equipped with Bluetooth communication and screen displays like smartwatches and smartphones. The primary goal of this research is to minimize the power consumption for wearable devices. Smart wearable devices are utilized for a wide range of applications like medicine, sports, fitness, business, etc.
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2367-3370 such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues..978-981-99-8450-3978-981-99-8451-0Series ISSN 2367-3370 Series E-ISSN 2367-3389
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2367-3370 academia and industry.Presents research works in the field o.This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Sixth International Conference on Soft Computing and Signal Processing (ICSCSP 2023). The book covers topics
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