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  • Data Science and Network Engineering: Proceedings of ICDSNE 2025

    Data Science and Network Engineering by Namasudra, Suyel; Kar, Nirmalya; Kumar Patra, Sarat; Kim, Byung-Gyu;

    Proceedings of ICDSNE 2025

    Series: Lecture Notes in Networks and Systems;

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      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 171.19
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        71 001 Ft (67 620 Ft + 5% VAT)
      • Discount 20% (cc. 14 200 Ft off)
      • Discounted price 56 801 Ft (54 096 Ft + 5% VAT)

    71 001 Ft

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    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Long description:

    This book includes research papers presented at the International Conference on Data Science and Network Engineering (ICDSNE 2025) organized by the Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India, during July 18–19, 2025. It includes research work from researchers, academicians, business executives, and industry professionals for solving real-life problems by using the advancements and applications of data science and network engineering. This book covers many advanced topics, such as artificial intelligence (AI), machine learning (ML), deep learning (DL), computer networks, blockchain, security and privacy, Internet of things (IoT), cloud computing, big data, supply chain management, and many more. Different sections of this book are highly beneficial for the researchers, who are working in the field of data science and network engineering.

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    Table of Contents:

    Ensemble Classifier for Real-Time Breast Cancer Classification on Histopathology Images.- A Smart Surveillance Framework for Real-Time Suspicious Activity Detection and Automated Alert Generation Using YOLOv8.- Enhancing E-Commerce Trust: An Integrated Product Recommendation and Fake Review Detection System.- Hardware-Efficient Neural Network for Voice Disorder Classification from Multi-Source Datasets.- Predictive Maintenance on C-MAPSS Using LSTM Variants and Attention.- Unveiling Ebola-Human Protein Links through Network Embedding and Unsupervised Machine Learning.- Discount Optimisation in Food Delivery Using Machine Learning.

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