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Data Science and Network Engineering : Proceedings ICDSNE 2024 / edited by Suyel Namasudra, Nirmalya Kar, Sarat Kumar Patra, David Taniar

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Networks and Systems ; 1165Publisher: Singapore : Springer Nature Singapore, 2025Publisher: Singapore : Imprint: Springer, 2025Edition: 1st ed. 2025Description: 1 Online-Ressource(XVII, 398 p. 171 illus., 148 illus. in color.)ISBN:
  • 9789819783366
Subject(s): Additional physical formats: 9789819783359 | 9789819783373 | Erscheint auch als: 9789819783359 Druck-Ausgabe | Erscheint auch als: 9789819783373 Druck-AusgabeDDC classification:
  • 621.382 23
DOI: DOI: 10.1007/978-981-97-8336-6Online resources: Summary: Hyperparameter Tuning of Fine-Tuned VGG19 Using Sine Cosine Algorithm for Acute Lymphoblastic Leukemia Detection -- Computer Vision and Deep Learning-based Model for Detecting Spoofed Faces in Images -- Explainable AI Insights into a Time Series Weather Prediction Model Using Stacked LSTM -- Patient-specific and Patient-independent Seizure Prediction using Ensemble Learning Technique -- An Intuitive and Modular Framework for Enhanced Human-Machine Synergy -- Wavelet-Transformed k-NN Pipeline for EEG-Based Eye Blink Classification with Time Wrapping.Summary: This book includes research papers presented at the International Conference on Data Science and Network Engineering (ICDSNE 2024) organized by the Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India, during July 12–13, 2024. It includes research works 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.PPN: PPN: 1916311423Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-ENG | ZDB-2-SXE
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