東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Proceedings of fourth International ...

International Conference on Computing and Communication Networks (2024 :)

FindBook

Google Book

Amazon

博客來

Proceedings of fourth International Conference on Computing and Communication Networks = ICCCN 2024.. Volume 6 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Proceedings of fourth International Conference on Computing and Communication Networks/ edited by Akshi Kumar, Abhishek Swaroop, Pancham Shukla.
其他題名:	ICCCN 2024.
其他題名:	ICCCNet 2024
其他作者:	Kumar, Akshi.
團體作者:	International Conference on Computing and Communication Networks
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xxx, 769 p. :ill. (some col.), digital ;24 cm.
內容註:	SUPERVISED MACHINE LEARNING BASED MODELS FOR HEART DISEASE DETECTION -- Nightshade crop disease classification using Vision Transformer -- Design and Implementation of Autonomous Fire-Fighting Smart Robot by adopting Navigation with solar panel -- Deep Learning-Driven Attack Detection in IoT Networks: A Comprehensive Survey -- Automatic Bird Species Recognition through Advanced Machine Learning Techniques -- Intelligent Solar Meter -- Intelligent Supervised Machine Learning Classifiers for Assessment Of Performance Of Heart Disease Disorder Diagnosis.
Contained By:	Springer Nature eBook
標題:	Computer networks - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-96-3253-4
ISBN:	9789819632534

Proceedings of fourth International Conference on Computing and Communication Networks = ICCCN 2024.. Volume 6 /
Proceedings of fourth International Conference on Computing and Communication NetworksICCCN 2024.Volume 6 /[electronic resource] :ICCCNet 2024edited by Akshi Kumar, Abhishek Swaroop, Pancham Shukla. - Singapore :Springer Nature Singapore :2025. - xxx, 769 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,v. 12942367-3389 ;. - Lecture notes in networks and systems ;v. 1294..

SUPERVISED MACHINE LEARNING BASED MODELS FOR HEART DISEASE DETECTION -- Nightshade crop disease classification using Vision Transformer -- Design and Implementation of Autonomous Fire-Fighting Smart Robot by adopting Navigation with solar panel -- Deep Learning-Driven Attack Detection in IoT Networks: A Comprehensive Survey -- Automatic Bird Species Recognition through Advanced Machine Learning Techniques -- Intelligent Solar Meter -- Intelligent Supervised Machine Learning Classifiers for Assessment Of Performance Of Heart Disease Disorder Diagnosis.

This book includes selected peer-reviewed papers presented at fourth International Conference on Computing and Communication Networks (ICCCN 2024), held at Manchester Metropolitan University, UK, during 17-18 October 2024. The book covers topics of network and computing technologies, artificial intelligence and machine learning, security and privacy, communication systems, cyber physical systems, data analytics, cyber security for industry 4.0, and smart and sustainable environmental systems.

ISBN: 9789819632534

Standard No.: 10.1007/978-981-96-3253-4doiSubjects--Topical Terms:

569849
Computer networks
--Congresses.

LC Class. No.: TK5105.5

Dewey Class. No.: 004.6

Proceedings of fourth International Conference on Computing and Communication Networks = ICCCN 2024.. Volume 6 /
LDR:02277nmm a2200361 a 4500 001 2413512
003 DE-He213
005 20250702130305.0
006 m d
007 cr nn 008maaau
008 260205s2025 si s 0 eng d
020 $a 9789819632534 $q (electronic bk.)
020 $a 9789819632527 $q (paper)
024 7 $a 10.1007/978-981-96-3253-4 $2 doi
035 $a 978-981-96-3253-4
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5105.5
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
072 7 $a TJK $2 thema
082 0 4 $a 004.6 $2 23
090 $a TK5105.5 $b .I61 2024
111 2 $a International Conference on Computing and Communication Networks $n (4th : $d 2024 : $c Manchester, England ; Online) $3 3783932
245 1 0 $a Proceedings of fourth International Conference on Computing and Communication Networks $h [electronic resource] : $b ICCCN 2024. $n Volume 6 / $c edited by Akshi Kumar, Abhishek Swaroop, Pancham Shukla.
246 3 $a ICCCNet 2024
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xxx, 769 p. : $b ill. (some col.), digital ; $c 24 cm.
338 $a online resource $b cr $2 rdacarrier
490 1 $a Lecture notes in networks and systems, $x 2367-3389 ; $v v. 1294
505 0 $a SUPERVISED MACHINE LEARNING BASED MODELS FOR HEART DISEASE DETECTION -- Nightshade crop disease classification using Vision Transformer -- Design and Implementation of Autonomous Fire-Fighting Smart Robot by adopting Navigation with solar panel -- Deep Learning-Driven Attack Detection in IoT Networks: A Comprehensive Survey -- Automatic Bird Species Recognition through Advanced Machine Learning Techniques -- Intelligent Solar Meter -- Intelligent Supervised Machine Learning Classifiers for Assessment Of Performance Of Heart Disease Disorder Diagnosis.
520 $a This book includes selected peer-reviewed papers presented at fourth International Conference on Computing and Communication Networks (ICCCN 2024), held at Manchester Metropolitan University, UK, during 17-18 October 2024. The book covers topics of network and computing technologies, artificial intelligence and machine learning, security and privacy, communication systems, cyber physical systems, data analytics, cyber security for industry 4.0, and smart and sustainable environmental systems.
650 0 $a Computer networks $v Congresses. $3 569849
650 0 $a Computer systems $v Congresses. $3 596486
650 1 4 $a Communications Engineering, Networks. $3 891094
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Data and Information Security. $3 3538510
700 1 $a Kumar, Akshi. $3 3445212
700 1 $a Swaroop, Abhishek. $3 3487083
700 1 $a Shukla, Pancham. $3 3720359
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. 1294. $3 3789642
856 4 0 $u https://doi.org/10.1007/978-981-96-3253-4
950 $a Engineering (SpringerNature-11647)