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Data Science and Network Engineeringproceedings ICDSNE 2024 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data Science and Network Engineeringedited by Suyel Namasudra ... [et al.].
其他題名:	proceedings ICDSNE 2024 /
其他作者:	Namasudra, Suyel.
團體作者:
出版者:	Singapore :Springer Nature Singapore :2025.
面頁冊數:	xvii, 398 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Telecommunication
電子資源:	https://doi.org/10.1007/978-981-97-8336-6
ISBN:	9789819783366$q(electronic bk.)

Data Science and Network Engineeringproceedings ICDSNE 2024 /
Data Science and Network Engineeringproceedings ICDSNE 2024 /[electronic resource] :edited by Suyel Namasudra ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xvii, 398 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,v. 11652367-3389 ;. - Lecture notes in networks and systems ;v.1..

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.

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.

ISBN: 9789819783366$q(electronic bk.)

Standard No.: 10.1007/978-981-97-8336-6doiSubjects--Topical Terms:

217159
Telecommunication

LC Class. No.: TK5101.A1 / I58 2024

Dewey Class. No.: 621.382

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