國立高雄大學圖資館 |

Language: English

Back

Data Science and Network Engineeringproceedings ICDSNE 2024 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data Science and Network Engineeringedited by Suyel Namasudra ... [et al.].
Reminder of title:	proceedings ICDSNE 2024 /
other author:	Namasudra, Suyel.
corporate name:
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xvii, 398 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Telecommunication
Online resource:	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

Data Science and Network Engineeringproceedings ICDSNE 2024 /
LDR:02563nmm a2200337 a 4500 001 680031
003 DE-He213
005 20250129115251.0
006 m d
007 cr nn 008maaau
008 251110s2025 si s 0 eng d
020 $a 9789819783366$q(electronic bk.)
020 $a 9789819783359$q(paper)
024 7 $a 10.1007/978-981-97-8336-6 $2 doi
035 $a 978-981-97-8336-6
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5101.A1 $b I58 2024
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
072 7 $a TJK $2 thema
082 0 4 $a 621.382 $2 23
090 $a TK5101.A1 $b I61 2024
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Data Science and Network Engineering $h [electronic resource] : $b proceedings ICDSNE 2024 / $c edited by Suyel Namasudra ... [et al.].
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xvii, 398 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in networks and systems, $x 2367-3389 ; $v v. 1165
505 0 $a 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.
520 $a 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.
650 0 $a Telecommunication $3 217159
650 0 $a Data structures (Computer science) $3 183917
650 0 $a Information theory $3 253413
650 0 $a Artificial intelligence $3 252958
650 0 $a Cooperating objects (Computer systems) $3 675607
650 0 $a Internet of things $v Congresses. $3 696440
650 1 4 $a Communications Engineering, Networks. $3 273745
650 2 4 $a Data Structures and Information Theory. $3 825714
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Cyber-Physical Systems. $3 919034
650 2 4 $a Internet of Things. $3 913131
700 1 $a Namasudra, Suyel. $3 889240
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in networks and systems ; $v v.1. $3 744793
856 4 0 $u https://doi.org/10.1007/978-981-97-8336-6
950 $a Engineering (SpringerNature-11647)