International Conference on Cloud Computing and Computer Networks : CCCN 2023 / edited by Lei Meng.

Format:

Book

Contributor:

Meng, Lei, editor.

Series:

Signals and Communication Technology, 1860-4870

Language:

English

Subjects (All):

Telecommunication.

Computer networks.

Computational intelligence.

Communications Engineering, Networks.

Computer Communication Networks.

Computational Intelligence.

Local Subjects:

Communications Engineering, Networks.

Computer Communication Networks.

Computational Intelligence.

Physical Description:

1 online resource (144 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

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.

Contents:

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: AnAnalysis 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.

Notes:

Includes bibliographical references and index.

ISBN:

3-031-47100-8