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

6th EAI International Conference on ...

EAI International Conference on Robotic Sensor Networks (2022 :)

FindBook

Google Book

Amazon

博客來

6th EAI International Conference on Robotic Sensor Networks

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	6th EAI International Conference on Robotic Sensor Networks/ edited by Predrag S. Stanimirović ... [et al.].
其他作者:	Stanimirovic, Predrag.
團體作者:	EAI International Conference on Robotic Sensor Networks
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	xvi, 106 p. :ill., digital ;24 cm.
內容註:	Chapter 1. An Intelligent Learning System based on Robotino Mobile Robot Platform -- Chapter 2. A Neocognitron Based on Multi-Objective Optimization for Few-Shot Learning -- Chapter 3. Milk temperature control system of calf feeding robot based on fuzzy PID -- Chapter 4. Bluff: A Multi-Robot Dispersion based on Hybrid Reciprocal Velocity Obstacles to solve the Blind Man's Buff problem -- Chapter 5. Factors Influencing the Adoption of Robo Advisory Services: A UnifiedTheory of Acceptance and Use of Technology (UTAUT) Model Approach -- Chapter 6. A multi-region feature extraction and fusion strategy based CNN-Attention network for facial expression recognition -- Chapter 7. Real Time Surgical Instrument Object Detection using Yolov7 -- Chapter 8. A Lightweight Blockchain Framework for Visual Homing and Navigation Robots.
Contained By:	Springer Nature eBook
標題:	Sensor networks - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-33826-7
ISBN:	9783031338267

6th EAI International Conference on Robotic Sensor Networks
6th EAI International Conference on Robotic Sensor Networks[electronic resource] /edited by Predrag S. Stanimirović ... [et al.]. - Cham :Springer International Publishing :2023. - xvi, 106 p. :ill., digital ;24 cm. - EAI/Springer innovations in communication and computing,2522-8609. - EAI/Springer innovations in communication and computing..

Chapter 1. An Intelligent Learning System based on Robotino Mobile Robot Platform -- Chapter 2. A Neocognitron Based on Multi-Objective Optimization for Few-Shot Learning -- Chapter 3. Milk temperature control system of calf feeding robot based on fuzzy PID -- Chapter 4. Bluff: A Multi-Robot Dispersion based on Hybrid Reciprocal Velocity Obstacles to solve the Blind Man's Buff problem -- Chapter 5. Factors Influencing the Adoption of Robo Advisory Services: A UnifiedTheory of Acceptance and Use of Technology (UTAUT) Model Approach -- Chapter 6. A multi-region feature extraction and fusion strategy based CNN-Attention network for facial expression recognition -- Chapter 7. Real Time Surgical Instrument Object Detection using Yolov7 -- Chapter 8. A Lightweight Blockchain Framework for Visual Homing and Navigation Robots.

This book presents the proceedings of the 6th EAI International Conference on Robotics and Networks 2022 (ROSENET 2022) The conference explores the integration of networks and robotic technologies, which has become a topic of increasing interest for both researchers and developers from academic fields and industries worldwide. The authors posit that big networks will be the main approach to the next generation of robotic research, with the explosive number of networks models and increasing computational power of computers significantly extending the number of potential applications for robotic technologies while also bringing new challenges to the networking community. The conference provided a platform for researchers to share up-to-date scientific achievements in this field. The conference took place at Swansea University, Wales, Great Britain. Presents the proceedings from 6th EAI International Conference on Robotic Sensor Networks (ROSENET 2022); Features papers on topics ranging from robotics in medicine to robotics in rescue and surveillance; Includes perspectives from a multi-disciplinary selection of global researchers, academics, and professionals.

ISBN: 9783031338267

Standard No.: 10.1007/978-3-031-33826-7doiSubjects--Topical Terms:

582153
Sensor networks
--Congresses.

LC Class. No.: TK7872.D48

Dewey Class. No.: 006.25

6th EAI International Conference on Robotic Sensor Networks
LDR:03086nmm a2200337 a 4500 001 2333923
003 DE-He213
005 20230829074518.0
006 m d
007 cr nn 008maaau
008 240402s2023 sz s 0 eng d
020 $a 9783031338267 $q (electronic bk.)
020 $a 9783031338250 $q (paper)
024 7 $a 10.1007/978-3-031-33826-7 $2 doi
035 $a 978-3-031-33826-7
040 $a GP $c GP
041 0 $a eng
050 4 $a TK7872.D48
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
072 7 $a TJK $2 thema
082 0 4 $a 006.25 $2 23
090 $a TK7872.D48 $b E11 2022
111 2 $a EAI International Conference on Robotic Sensor Networks $n (6th : $d 2022 : $c Online) $3 3665054
245 1 0 $a 6th EAI International Conference on Robotic Sensor Networks $h [electronic resource] / $c edited by Predrag S. Stanimirović ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a xvi, 106 p. : $b ill., digital ; $c 24 cm.
490 1 $a EAI/Springer innovations in communication and computing, $x 2522-8609
505 0 $a Chapter 1. An Intelligent Learning System based on Robotino Mobile Robot Platform -- Chapter 2. A Neocognitron Based on Multi-Objective Optimization for Few-Shot Learning -- Chapter 3. Milk temperature control system of calf feeding robot based on fuzzy PID -- Chapter 4. Bluff: A Multi-Robot Dispersion based on Hybrid Reciprocal Velocity Obstacles to solve the Blind Man's Buff problem -- Chapter 5. Factors Influencing the Adoption of Robo Advisory Services: A UnifiedTheory of Acceptance and Use of Technology (UTAUT) Model Approach -- Chapter 6. A multi-region feature extraction and fusion strategy based CNN-Attention network for facial expression recognition -- Chapter 7. Real Time Surgical Instrument Object Detection using Yolov7 -- Chapter 8. A Lightweight Blockchain Framework for Visual Homing and Navigation Robots.
520 $a This book presents the proceedings of the 6th EAI International Conference on Robotics and Networks 2022 (ROSENET 2022) The conference explores the integration of networks and robotic technologies, which has become a topic of increasing interest for both researchers and developers from academic fields and industries worldwide. The authors posit that big networks will be the main approach to the next generation of robotic research, with the explosive number of networks models and increasing computational power of computers significantly extending the number of potential applications for robotic technologies while also bringing new challenges to the networking community. The conference provided a platform for researchers to share up-to-date scientific achievements in this field. The conference took place at Swansea University, Wales, Great Britain. Presents the proceedings from 6th EAI International Conference on Robotic Sensor Networks (ROSENET 2022); Features papers on topics ranging from robotics in medicine to robotics in rescue and surveillance; Includes perspectives from a multi-disciplinary selection of global researchers, academics, and professionals.
650 0 $a Sensor networks $x Congresses. $3 582153
650 0 $a Robotics $x Congresses. $3 649569
650 1 4 $a Communications Engineering, Networks. $3 891094
650 2 4 $a Control, Robotics, Automation. $3 3592500
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Cyber-Physical Systems. $3 3591993
700 1 $a Stanimirovic, Predrag. $3 3665055
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a EAI/Springer innovations in communication and computing. $3 3299732
856 4 0 $u https://doi.org/10.1007/978-3-031-33826-7
950 $a Engineering (SpringerNature-11647)