Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Data Science and Network Engineering...
~
International Conference on Data Science and Network Engineering (2024 :)
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 Engineering
proceedings 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)
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9514532
電子資源
11.線上閱覽_V
電子書
EB TK5101.A1 I58 2024
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login