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

FindBook

Google Book

Amazon

博客來

Proceedings of the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024).. Volume 2

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Proceedings of the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024)./ edited by Fuchun Sun ... [et al.].
其他題名:	MLCCIM 2024
其他作者:	Sun, Fuchun.
團體作者:	International Conference on Machine Learning, Cloud Computing and Intelligent Mining
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xiii, 338 p. :ill. (some col.), digital ;24 cm.
內容註:	1 PTS-NET: A Parallel Dual-stage Network for Raw Low-light Image Enhancement and Denoising. -- 2 A Sample-Quality-Based Imitation Approach For Offline Reinforcement Learning. -- 3 Improving the Lightweight Pose Detection Model based on YOLOpose. -- 4 Collaborative tasks and resource allocation of multi-UAV for multi-target attacks. -- 5 Quality of AI Service Assurance in 6G Native Artificial Intelligence Networks. -- 6 Matching screening method based on panoramic disparity.
Contained By:	Springer Nature eBook
標題:	Machine learning - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-96-1694-7
ISBN:	9789819616947

Proceedings of the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024).. Volume 2
Proceedings of the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024).Volume 2[electronic resource] /MLCCIM 2024edited by Fuchun Sun ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xiii, 338 p. :ill. (some col.), digital ;24 cm. - Lecture notes in electrical engineering,13271876-1119 ;. - Lecture notes in electrical engineering ;1327..

1 PTS-NET: A Parallel Dual-stage Network for Raw Low-light Image Enhancement and Denoising. -- 2 A Sample-Quality-Based Imitation Approach For Offline Reinforcement Learning. -- 3 Improving the Lightweight Pose Detection Model based on YOLOpose. -- 4 Collaborative tasks and resource allocation of multi-UAV for multi-target attacks. -- 5 Quality of AI Service Assurance in 6G Native Artificial Intelligence Networks. -- 6 Matching screening method based on panoramic disparity.

The proceedings offer a meticulously curated compilation of peer-reviewed papers presented at the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024). With a profound focus on these domains, this volume serves as an invaluable resource for researchers, experts, professionals, and practitioners engaged in machine learning, control systems, robot, cloud computing and intelligent mining techniques. The conference facilitated a vibrant exchange of knowledge, enabling participants to unveil their pioneering research findings, showcase the outcomes of their latest projects, and engage in thought-provoking discussions to share perspectives and experiences.

ISBN: 9789819616947

Standard No.: 10.1007/978-981-96-1694-7doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5 / .I578 2024

Dewey Class. No.: 006.31

Proceedings of the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024).. Volume 2
LDR:02394nmm a2200349 a 4500 001 2409199
003 DE-He213
005 20250131115222.0
006 m d
007 cr nn 008maaau
008 260204s2025 si s 0 eng d
020 $a 9789819616947 $q (electronic bk.)
020 $a 9789819616930 $q (paper)
024 7 $a 10.1007/978-981-96-1694-7 $2 doi
035 $a 978-981-96-1694-7
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5 $b .I578 2024
072 7 $a TJFM $2 bicssc
072 7 $a TEC007000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 006.31 $2 23
090 $a Q325.5 $b .I61 2024
111 2 $a International Conference on Machine Learning, Cloud Computing and Intelligent Mining $n (3rd : $d 2024 : $c Shennongjia Linqu, China) $3 3782268
245 1 0 $a Proceedings of the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024). $n Volume 2 $h [electronic resource] / $c edited by Fuchun Sun ... [et al.].
246 3 $a MLCCIM 2024
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xiii, 338 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in electrical engineering, $x 1876-1119 ; $v 1327
505 0 $a 1 PTS-NET: A Parallel Dual-stage Network for Raw Low-light Image Enhancement and Denoising. -- 2 A Sample-Quality-Based Imitation Approach For Offline Reinforcement Learning. -- 3 Improving the Lightweight Pose Detection Model based on YOLOpose. -- 4 Collaborative tasks and resource allocation of multi-UAV for multi-target attacks. -- 5 Quality of AI Service Assurance in 6G Native Artificial Intelligence Networks. -- 6 Matching screening method based on panoramic disparity.
520 $a The proceedings offer a meticulously curated compilation of peer-reviewed papers presented at the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024). With a profound focus on these domains, this volume serves as an invaluable resource for researchers, experts, professionals, and practitioners engaged in machine learning, control systems, robot, cloud computing and intelligent mining techniques. The conference facilitated a vibrant exchange of knowledge, enabling participants to unveil their pioneering research findings, showcase the outcomes of their latest projects, and engage in thought-provoking discussions to share perspectives and experiences.
650 0 $a Machine learning $x Congresses. $3 576368
650 0 $a Cloud computing $v Congresses. $3 1085446
650 0 $a Data mining $v Congresses. $3 551626
650 1 4 $a Control, Robotics, Automation. $3 3592500
650 2 4 $a Control and Systems Theory. $3 3381515
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Cloud Computing. $3 3231328
700 1 $a Sun, Fuchun. $3 2054408
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in electrical engineering ; $v 1327. $3 3782269
856 4 0 $u https://doi.org/10.1007/978-981-96-1694-7
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)