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

Format:

Book

Contributor:

Namasudra, Suyel, Editor.

Kar, Nirmalya., Editor.

Patra, Sarat Kumar., Editor.

Taniar, David, Editor.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 1165

Language:

English

Subjects (All):

Telecommunication.

Data structures (Computer science).

Information theory.

Artificial intelligence.

Cooperating objects (Computer systems).

Internet of things.

Communications Engineering, Networks.

Data Structures and Information Theory.

Artificial Intelligence.

Cyber-Physical Systems.

Internet of Things.

Local Subjects:

Communications Engineering, Networks.

Data Structures and Information Theory.

Artificial Intelligence.

Cyber-Physical Systems.

Internet of Things.

Physical Description:

1 online resource (XVII, 398 p. 171 illus., 148 illus. in color.)

Edition:

1st ed. 2025.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2025.

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.

Contents:

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9789819783366

9819783364

OCLC:

1499721520