Computer Vision and Recognition Systems - Chowdhary, Chiranji Lal
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Présentation Computer Vision And Recognition Systems Format Relié
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Résumé : 1. Visual Quality Improvement Using Single Image Defogging Technique 2. A Comparative Study of Machine Learning Algorithms in Parkinson's Disease Diagnosis: A Review 3. Machine Learning Algorithms for Hypertensive Retinopathy Detection through Retinal Fundus Images 4. Big Image Data Processing: Methods, Technologies, and Implementation Issues 5. N-grams for Image Classification and Retrieval 6. A Survey on Evolutionary Algorithms for Medical Brain Images 7. Chatbot Application with Scene Graph in Thai Language 8. Credit Score Improvisation through Automating the Extraction of Sentiment from Reviews 9. Vision-Based Lane and Vehicle Detection: A First Step Toward Autonomous Unmanned Vehicle 10. Damaged Vehicle Parts Recognition Using Capsule Neural Network 11. Partial Image Encryption of Medical Images Based on Various Permutation Techniques 12. Image Synthesis with Generative Adversarial Networks (GAN)
Biographie: Chiranji Lal Chowdhary is an Associate Professor in the School of Information Technology & Engineering at VIT University, where he has been since 2010. He received a BE (CSE) from MBM Engineering College at Jodhpur in 2001, and MTech (CSE) from the M. S. Ramaiah Institute of Technology at Bangalore in 2008. He received his PhD in Information Technology and Engineering from the VIT University Vellore in 2017. From 2006 to 2010 he worked at M. S. Ramaiah Institute of Technology in Bangalore, eventually as a Lecturer. His research interests span both computer vision and image processing. Much of his work has been on images, mainly through the application of image processing, computer vision, pattern recognition, machine learning, biometric systems, deep learning, soft computing, and computational intelligence. As of 2020, Google Scholar reports over 270 citations to his work. He has given a few invited talks on medical image processing. Professor Chowdhary is editor/co-editor of three books and is the author of over 40 articles on computer science. He filed two patents deriving from his research. Dr. Thippa Reddy Gadekallu is currently working as Associate Professor in the School of Information Technology and Engineering, VIT, Vellore, Tamil Nadu, India. He obtained his BTech in CSE from Nagarjuna University, India...
Sommaire:
Focuses on how artificial intelligence can be used to give computers the ability to imitate human sight. Topics include Parkinson's disease diagnosis, big image data processing, N-grams for image classification, medical brain images, credit score improvisation, vision-based lane and vehicle detection, damaged vehicle parts recognition, partial imag...
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