Jyotismita Chaki, Ph.D., is an Assistant Professor in School of Computer Science and Engineering at Vellore Institute of Technology, Vellore, India. She has done her PhD (Engg) from Jadavpur University, Kolkata, India. Her research interests include: Computer Vision and Image Processing, Pattern Recognition, Medical Imaging, Artificial Intelligence and Machine learning. She has authored more than forty international conferences and journal papers. She is the author and editor of more than five books. Currently she is the academic editor of PLOS ONE journal (IF: 3.24) and Associate editor of IET Image Processing Journal (IF: 2.373), Array journal (Elsevier) and Machine Learning with Applications journal (Elsevier).
Télécharger le livre :  The Art of Deep Learning Image Augmentation: The Seeds of Success

This book addresses the critical challenge of limited training data in deep learning for computer vision by exploring and evaluating various image augmentation techniques, with a particular emphasis on deep learning-based methods. Chapter 1 establishes the core problem...
Editeur : Springer
Parution : 2025-05-02

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Télécharger le livre :  Handling Uncertainty in Artificial Intelligence

This book demonstrates different methods (as well as real-life examples) of handling uncertainty like probability and Bayesian theory, Dempster-Shafer theory, certainty factor and evidential reasoning, fuzzy logic-based approach, utility theory and expected utility...
Editeur : Springer
Parution : 2023-08-06

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52,74

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Télécharger le livre :  Brain Tumor MRI Image Segmentation Using Deep Learning Techniques

Brain Tumor MRI Image Segmentation Using Deep Learning Techniques offers a description of deep learning approaches used for the segmentation of brain tumors. The book demonstrates core concepts of deep learning algorithms by using diagrams, data tables and examples to...
Editeur : Academic Press
Parution : 2021-11-27

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168,80

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Télécharger le livre :  Artificial Intelligence for Coronavirus Outbreak

This book examines how the wonders of AI have contributed to the battle against COVID-19. Just as history repeats itself, so do epidemics and pandemics. In the face of the novel coronavirus disease, COVID-19, the book explores whether, in this digital era where...
Editeur : Springer
Parution : 2020-06-22
Collection : SpringerBriefs in Applied Sciences and Technology
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63,29

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Télécharger le livre :  Image Color Feature Extraction Techniques

This book introduces a range of image color feature extraction techniques. Readers are encouraged to try implementing the techniques discussed here on their own, all of which are presented in a very simple and step-by-step manner. In addition, the book can be used as an...
Editeur : Springer
Parution : 2020-06-03
Collection : SpringerBriefs in Applied Sciences and Technology
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Télécharger le livre :  Smart Biosensors in Medical Care

Smart Biosensors in Medical Care discusses the characteristics of biosensors and their potential applications in healthcare. This book is aimed at professionals, scientists and engineers who are interested in integrating biosensors into medical care systems for...
Editeur : Academic Press
Parution : 2020-02-18

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114,99

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Télécharger le livre :  Texture Feature Extraction Techniques for Image Recognition

The book describes various texture feature extraction approaches and texture analysis applications. It introduces and discusses the importance of texture features, and describes various types of texture features like statistical, structural, signal-processed and...
Editeur : Springer
Parution : 2019-10-24
Collection : SpringerBriefs in Applied Sciences and Technology
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58,01

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Télécharger le livre :  Sensors for Health Monitoring

Sensors for Health Monitoring discusses the characteristics of U-Healthcare systems in different domains, providing a foundation for working professionals and undergraduate and postgraduate students. The book provides information and advice on how to choose the best...
Editeur : Academic Press
Parution : 2019-09-09

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