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Titlebook: Innovations in Data Analytics; Selected Papers of I Abhishek Bhattacharya,Soumi Dutta,Debabrata Samant Conference proceedings 2024 The Edit

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Dena Ahmed,Enas Hamoodtems around the world. The series also increasingly focuses on “peopleware” and the organizational, behavioral, and societal changes that accompany the diffusio978-1-4419-2947-1978-0-387-22488-6Series ISSN 1431-1917 Series E-ISSN 2197-3741
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Comparative Studies of Credit Efficient Techniques for Deploying Roadside Unitseiving devices, serving as the vehicle’s method of communication and information exchange. Several installation issues have been raised since introducing these devices, including installation costs, coverage rates, and message delivery delays. This publication covers a significant number of algorith
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Machine Learning-Based Network Intrusion Detection System for IoT Environmentation networks. Network intrusion detection systems (NIDSs) are extensively utilized intrusion detection systems, but there is no standard methodology for the comparison of different NIDS. Several proposed papers do not mention the important steps for the validity of NIDS which makes comparison diff
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Design and Evaluation of a Customized CNN Architecture for Early Detection of Lung Cancerte that due to CNN’s superior performance and capability, these models are better able to identify illnesses like lung cancer. The accuracy gained with Convolutional Neural Network(CNN) is between 80 and 90%, which is superior than the accuracy of more established, conventional techniques. This is a
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