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International Conference on Cloud Computing and Computer NetworksCCCN 2023 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	International Conference on Cloud Computing and Computer Networksedited by Lei Meng.
其他題名:	CCCN 2023 /
其他題名:	CCCN 2023
其他作者:	Meng, Lei.
團體作者:
出版者:	Cham :Springer Nature Switzerland :2024.
面頁冊數:	x, 140 p. :ill. (some col.), digital ;24 cm.
附註:	"This year, CCCN 2023 was held online successfully during April 21-23, 2023."
Contained By:	Springer Nature eBook
標題:	Cloud computingCongresses.
電子資源:	https://doi.org/10.1007/978-3-031-47100-1
ISBN:	9783031471001$q(electronic bk.)

International Conference on Cloud Computing and Computer NetworksCCCN 2023 /
International Conference on Cloud Computing and Computer NetworksCCCN 2023 /[electronic resource] :CCCN 2023edited by Lei Meng. - Cham :Springer Nature Switzerland :2024. - x, 140 p. :ill. (some col.), digital ;24 cm. - Signals and communication technology,1860-4870. - Signals and communication technology..

"This year, CCCN 2023 was held online successfully during April 21-23, 2023."

Part I- Chapter 1. Application of convolutional neural networks for the detection of diseases in the CCN-51 cocoa fruit by means of a mobile application -- Chapter 2. Target Detection Algorithm of Forward Looking Sonar Based on Swin Transformer -- Chapter 3. An Optimization Strategy for Efficient Facial Landmark Detection Based on Improved Pixel-in-pixel Net Model -- Chapter 4. Nonlinear Filter Combined Regularization of Compressed Sensing for CT Image Reconstruction -- Part II- Chapter 5. Vulnerabilities in Office Printers, Multifunction Printers (MFP), 3D Printers and Digital Copiers, A gateway to breach our enterprise network -- Chapter 6. Provisioning Deep Learning Inference on a Fog Computing Architecture -- Chapter 7. A Comparative Analysis of VPN Applications and Their Security Capabilities Towards Security Issues -- Chapter 8. Improved Grey Wolf Optimization Algorithm Based on Logarithmic Inertia Weight -- Chapter 9. Radio Frequency Identification Vulnerabilities: An Analysis on RFID-Related Physical Controls in an Infrastructure -- Part III- Chapter 10. Analysis of Bee Population and the Relationship with Time -- Chapter 11. Synthetic speech data generation using Generative Adversarial Networks -- Chapter 12. Prediction of bee population and number of beehives required for pollination of a 20-acre parcel crop.

This book covers selected and presented papers of CCCN 2023, the International Conference on Cloud Computing and Computer Network which was held in Singapore April 21-23, 2023. CCCN 2023 provides a premier forum for researchers and scholars from multiple disciplines to come together to share knowledge, discuss ideas, exchange information, and learn about cutting-edge research in diverse fields of cloud computing and computer networks. Topics covered in this book contain cloud computing and semantic web technologies, cloud applications in vertical industries, cloud computing architecture and systems, cloud computing models, simulations and designs among others. The content is relevant to academics, researchers, students, and professionals in cloud computing and computer networks. Presents papers from the International Conference on Cloud Computing and Computer Network (CCCN 2023) Includes topics such as semantic web technologies, cloud applications, and cloud computing architecture. Relevant to academics, researchers, students, and professionals in cloud computing and computer networks.

ISBN: 9783031471001$q(electronic bk.)

Standard No.: 10.1007/978-3-031-47100-1doiSubjects--Topical Terms:

384581
Cloud computing
--Congresses.

LC Class. No.: QA76.585

Dewey Class. No.: 004.6782

International Conference on Cloud Computing and Computer NetworksCCCN 2023 /
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505 0 $a Part I- Chapter 1. Application of convolutional neural networks for the detection of diseases in the CCN-51 cocoa fruit by means of a mobile application -- Chapter 2. Target Detection Algorithm of Forward Looking Sonar Based on Swin Transformer -- Chapter 3. An Optimization Strategy for Efficient Facial Landmark Detection Based on Improved Pixel-in-pixel Net Model -- Chapter 4. Nonlinear Filter Combined Regularization of Compressed Sensing for CT Image Reconstruction -- Part II- Chapter 5. Vulnerabilities in Office Printers, Multifunction Printers (MFP), 3D Printers and Digital Copiers, A gateway to breach our enterprise network -- Chapter 6. Provisioning Deep Learning Inference on a Fog Computing Architecture -- Chapter 7. A Comparative Analysis of VPN Applications and Their Security Capabilities Towards Security Issues -- Chapter 8. Improved Grey Wolf Optimization Algorithm Based on Logarithmic Inertia Weight -- Chapter 9. Radio Frequency Identification Vulnerabilities: An Analysis on RFID-Related Physical Controls in an Infrastructure -- Part III- Chapter 10. Analysis of Bee Population and the Relationship with Time -- Chapter 11. Synthetic speech data generation using Generative Adversarial Networks -- Chapter 12. Prediction of bee population and number of beehives required for pollination of a 20-acre parcel crop.
520 $a This book covers selected and presented papers of CCCN 2023, the International Conference on Cloud Computing and Computer Network which was held in Singapore April 21-23, 2023. CCCN 2023 provides a premier forum for researchers and scholars from multiple disciplines to come together to share knowledge, discuss ideas, exchange information, and learn about cutting-edge research in diverse fields of cloud computing and computer networks. Topics covered in this book contain cloud computing and semantic web technologies, cloud applications in vertical industries, cloud computing architecture and systems, cloud computing models, simulations and designs among others. The content is relevant to academics, researchers, students, and professionals in cloud computing and computer networks. Presents papers from the International Conference on Cloud Computing and Computer Network (CCCN 2023) Includes topics such as semantic web technologies, cloud applications, and cloud computing architecture. Relevant to academics, researchers, students, and professionals in cloud computing and computer networks.
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