Computational Intelligence Based Solutions for Vision Systems

Author:   Varun Bajaj (Indian Institute of Information Technology, Jabalpur, India) ,  Irshad Ahmad Ansari (ABV-Indian Institute of Information Technology and Management Gwalior, Gwalior, India)
Publisher:   Institute of Physics Publishing
ISBN:  

9780750348195


Pages:   246
Publication Date:   26 May 2022
Format:   Hardback
Availability:   In Print   Availability explained
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Computational Intelligence Based Solutions for Vision Systems


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Author:   Varun Bajaj (Indian Institute of Information Technology, Jabalpur, India) ,  Irshad Ahmad Ansari (ABV-Indian Institute of Information Technology and Management Gwalior, Gwalior, India)
Publisher:   Institute of Physics Publishing
Imprint:   Institute of Physics Publishing
Dimensions:   Width: 17.80cm , Height: 1.60cm , Length: 25.40cm
Weight:   0.647kg
ISBN:  

9780750348195


ISBN 10:   0750348194
Pages:   246
Publication Date:   26 May 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Chapter 1: Drone based Vision System: Surveillance during Calamities Chapter 2: Use of computer vision to inspect automatically machined workpieces Chapter 3: Machine learning for vision based crowd management Chapter 4: Skin cancer classification model based on hybrid deep feature generation and iterative mRMR Chapter 5: An analysis of human activity recognition systems and its importance in the current era Chapter 6: A Deep Learning Based Food Detection and Classification Chapter 7: Detection of Images Recaptured Through Screenshot Based on Spatial Rich Model Analysis Chapter 8: Data augmentation for deep ensembles in polyp segmentation Chapter 9: Identification of the onset of Parkinson’s disease through a multiscale classification deep learning model utilizing a fusion of multiple conventional features with nDS-spatially exploited symmetrical convolutional pattern Chapter 10: Computer Vision Approach With Deep Learning for Medical Intelligence System Chapter 11: Machine Learning in medicine: Diagnosis of skin cancer using Support Vector Machine (SVM) Classifier

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Irshad Ahmad Ansari has been working as a faculty in the discipline of Electronics and Communication Engineering, at Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Jabalpur, India since 2017. He completed his PhD at IIT Roorkee and subsequently joined Gwangju Institute of Science and Technology, South Korea as a Postdoctoral fellow. His major research interest includes Image Processing, Signal Processing, Soft Computing, Data Classification, Brain Computer Interface. Varun Bajaj (PhD, SMIEEE) is a faculty member at the Electronics and Communication Engineering department at the Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Jabalpur. Prior to this he worked as a visiting faculty in IIITDM Jabalpur and Assistant Professor at Department of Electronics and Instrumentation, Shri Vaishnav Institute of Technology and Science, Indore, India. He received B.E. degree in Electronics and Communication Engineering from Rajiv Gandhi Technological University, Bhopal, India in 2006, M.Tech. Degree with Honors in Microelectronics and VLSI design from Shri Govindram Seksaria Institute of Technology & Science, Indore, India in 2009. He received his Ph.D. degree in the Discipline of Electrical Engineering, at Indian Institute of Technology Indore, India in 2014. He is an Associate Editor of IEEE Sensor Journal and Subject Editor-in-Chief of IET Electronics Letters. He also served as a Subject Editor of IET Electronics Letters. He is Senior Member of the IEEE and also contributes as active technical reviewer of leading International journals of IEEE, IET, and Elsevier, etc. He has authored numerous research papers and edited several book projects. His research interests include biomedical signal processing, image processing, time frequency analysis, and computer-aided medical diagnosis.

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