Generative Adversarial Networks for Image-to-Image Translation

Dr. Arun Solanki is Assistant Professor in the Department of Computer Science and Engineering, Gautam Buddha University, Greater Noida, India. He received his Ph.D. in Computer Science and Engineering from Gautam Buddha University. He has supervised more than 60 M.Tech. Dissertations under his guidance. His research interests span Expert System, Machine Learning, and Search Engines. Dr. Solanki is an Associate Editor of the International Journal of Web-Based Learning and Teaching Technologies from IGI Global. He has been a Guest Editor for special issues of Recent Patents on Computer Science, from Bentham Science Publishers. Dr. Solanki is the editor of the books Green Building Management and Smart Automation and Handbook of Emerging Trends and Applications of Machine Learning, both from IGI Global. Dr. Anand Nayyar received his Ph.D (Computer Science) from Desh Bhagat University in 2017 in Wireless Sensor Networks and Swarm Intelligence. He is currently working in Graduate School, Faculty of Information Technology- Duy Tan University, Vietnam. He has published numerous research papers in various high-impact journals and holds 10 Australian patents and 1 Indian Design to his credit in the area of Wireless Communications, Artificial Intelligence, IoT and Image Processing.Dr. Mohd Naved is an Associate Professor at Jaipuria Institute of Management in Noida, India, with over a decade of experience in Business Analytics, Data Science, and Artificial Intelligence. His research focuses on the applications of business analytics, data science, and artificial intelligence across various industries.

• 1. Super-Resolution based GAN for Image Processing: Recent Advances and Future Trends2. GAN models in Natural Language Processing and Image Translation3. Generative Adversarial Networks and their variants4. Comparative Analysis of Filtering Methods in Fuzzy C-Mean Environment for DICOM Image Segmentation5. A Review on the Techniques for Generation of Images using GAN6. A Review of Techniques to Detect the GAN Generated Fake Images7. Synthesis of Respiratory Signals using Conditional Generative Adversarial Networks from Scalogram Representation8. Visual Similarity-Based Fashion Recommendation System9. Deep learning based vegetation index estimation10. Image Generation using Generative Adversarial Networks11. Generative Adversarial Networks for Histopathology Staining12. ANALYSIS OF FALSE DATA DETECTION RATE IN GENERATIVE ADVERSARIAL NETWORKS USING RECURRENT NEURAL NETWORK13. WGGAN: A Wavelet-Guided Generative Adversarial Network for Thermal Image Translation14. GENERATIVE ADVERSARIAL NETWORK FOR VIDEO ANALYTICS15. Multimodal reconstruction of retinal images over unpaired datasets using cyclical generative adversarial networks16. Generative Adversarial Network for Video Anomaly Detection