International Conference on Innovative Computing and Communications : Proceedings of ICICC 2023, Volume 3 (Lecture Notes in Networks and Systems)

Hassanien, Aboul Ella (EDT)/ Castillo, Oscar (EDT)/ Anand, Sameer (EDT)

Springer Verlag, Singapore（2023/08発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 585 p.
• 言語 ENG
• 商品コード 9789819930098

Full Description

This book includes high-quality research papers presented at the Sixth International Conference on Innovative Computing and Communication (ICICC 2023), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 17-18, 2023. Introducing the innovative works of scientists, professors, research scholars, students, and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.

Contents

Chapter 1. Joint Identification and Clustering using Deep Learning Techniques.- Chapter 2. Comparative Analysis of deep learning with different optimization techniques for Type 2 Diabetes Mellitus detection using Gene expression Data.- Chapter 3. Differential Analysis of MOOC Models for Increasing Retention and Evaluation of the Performance of Proposed Model.- Chapter 4. Deep Convolutıonal Neural Networks Network with Transfer Learning for Image-Based Malware Analysis.- Chapter 5. Analysis of Network Failure Detection using Machine Learning in 5G Core Networks.- Chapter 6. MVR Delay:Establıshıng Self - Organızıng Vırtual Backhaul for Trusty, Relıable and Tımely Emergency Message Dıssemınatıon in VANET.- Chapter 7. Machine Learning Algorithms for Prediction of Mobile Phone Prices.- Chapter 8. Customized CNN for Traffic Sign Recognition Using Keras pre-trained models.- Chapter 9. Underwater Image Enhancement and Restoration Using Cycle GAN.- Chapter 10. Implementation of Machine LearningTechniques in Breast Cancer Detection.- Chapter 11. Performance and Analysis of Propagation Delay in the Bitcoin Network.- Chapter 12. Machine Learning Analysis on Predicting Credit Card Forgery.- Chapter 13. GanCOV: A Deep Learning & GAN based algorithm to Detect COVID-19 through Lung X-Ray Scans.- Chapter 14. Text-to-Image Synthesis using BERT Embeddings and Multi-Stage GAN.- Chapter 15. Application of Convoluted Brainwaves for Efficient Identification of Eating Disorder. etc.