Titlebook: Computational Intelligence and Network Systems; First International Raja Muthalagu,Tamizharasan P S,Michele Fiorentino Conference proceedi

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Strafrechtliche Risiken des Sponsoring. Manual mitosis counting is time-consuming and subjective, prompting the need for automated approaches to improve efficiency and accuracy. In this study, we have developed a transformer-based U-Net model that combines the effectiveness of transformers which were originally designed for natural lang

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Computational Intelligence and Network Systems978-3-031-48984-6Series ISSN 1865-0929 Series E-ISSN 1865-0937

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EEG-Based Identification of Schizophrenia Using Deep Learning Techniques,rain disorder which can be identified by various symptoms. Most common symptoms of Schizophrenia are speech disorder, laughing without any reason, crying without any reason, poor memory, lack of motivation etc. EEG signals are collected from human brains by placing electrodes (metal discs) on the sc

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,Protocol Security in?6th Generation (6G) Networks,t of Everything. People are already using the 5G Networks and facing several issues in that due to which the 6G networks are very important to develop. 6G technology ensures to connect every device present in the world with the internet providing Quality of Service. The 6G networks are still in disc

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Plant Protein Classification Using K-mer Encoding,characterize and comprehend the precise roles and activities of different proteins. Furthermore, it restricts development in fields like biotechnology, disease resistance, and crop enhancement. The presented project focuses on plant protein classification, aiming to overcome the challenges arising f