東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

Data Science and Network Engineering = proceedings ICDSNE 2024 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data Science and Network Engineering/ edited by Suyel Namasudra ... [et al.].
Reminder of title:	proceedings ICDSNE 2024 /
other author:	Namasudra, Suyel.
corporate name:	International Conference on Data Science and Network Engineering
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xvii, 398 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Telecommunication - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-97-8336-6
ISBN:	9789819783366

Data Science and Network Engineering = proceedings 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. 1165..

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

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

674821
Telecommunication
--Congresses.

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

Dewey Class. No.: 621.382

Data Science and Network Engineering = proceedings ICDSNE 2024 /
LDR:02562nmm a2200337 a 4500 001 2409034
003 DE-He213
005 20250129115251.0
006 m d
007 cr nn 008maaau
008 260204s2025 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 $a International Conference on Data Science and Network Engineering $n (2nd : $d 2024 : $c Tripura, India) $3 3781982
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 $x Congresses. $3 674821
650 0 $a Data structures (Computer science) $v Congresses. $3 893197
650 0 $a Information theory $x Congresses. $3 696749
650 0 $a Artificial intelligence $v Congresses. $3 606815
650 0 $a Cooperating objects (Computer systems) $v Congresses. $3 3218484
650 0 $a Internet of things $v Congresses. $3 3135380
650 1 4 $a Communications Engineering, Networks. $3 891094
650 2 4 $a Data Structures and Information Theory. $3 3382368
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Cyber-Physical Systems. $3 3591993
650 2 4 $a Internet of Things. $3 3538511
700 1 $a Namasudra, Suyel. $3 3488689
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in networks and systems ; $v v. 1165. $3 3781983
856 4 0 $u https://doi.org/10.1007/978-981-97-8336-6
950 $a Engineering (SpringerNature-11647)