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.
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.
Lei Meng selected in the Qilu Young Scholar (Tier-1) program, has been Professor with the School of Software, Shandong University since 2020. He received the B.Eng.s degree in Shandong University, China in 2010, and obtained the PhDs degree in Nanyang Technological University, Singapore in 2015, supervised by Prof. Ah-Hwee Tan. Taking the position of Research Fellow in 2015, he joined the Joint NTU-UBC Research Center of Excellence in Active Living for the Elderly (LILY), Nanyang Technological University, working with Prof. Chunyan Miao (Nanyang Technological University) and Prof. Cyril Leung (University of British Columbia). In 2018, he joined the NUS-Tsinghua-Southampton Centre for Extreme Search (NExT++), National University of Singapore, working as Senior Research Fellow with Prof. Tat-Seng Chua. He has been engaged in the research of machine learning theory and technology for big multimedia data analytics, with a focus on the directions of clustering, knowledge discoveryand data mining, and multimodal recognition and retrieval. His current research interests lie in the topics of adaptive resonance theory (ART), deep learning and their AI-powered applications in multimedia, data mining, and healthcare. He has published a book with Springer and more than twenty conference and journal papers at top and renowned venues, such as TKDE, TCYB, TMM, TNNLS, Neural Networks, MM, and AAAI. He has filed two international patents and taken in charge of a national program from the national natural science foundation of China. He is the editorial board member of Applied Soft Computing and have served as Program/Technical Committee member and Reviewer for a number of high-quality conferences and journals, such as MM, SIGIR, AAAI, IJCAI, KDD, ICDM, SDM, and TNNLS. He is a member of the International Neural Network Society (INNS), the Institute of Electrical and Electronics Engineers (IEEE), and the Association for the Advancement of Artificial Intelligence (AAAI).
