This volume explores a wide range of advanced applications of intelligent technologies in image processing across diverse domains. It examines biological and biomedical imaging, highlighting the use of machine learning and deep learning techniques for the diagnosis and detection of conditions such as brain tumors, diabetes, pneumonia, and heart disease. Beyond healthcare, the book presents applications of intelligent computing in areas including plant identification and leaf disease detection, fruit classification and counting, forensic analysis, facial detection and emotion recognition, and sketch-tophoto synthesis. It also provides insights into key deep learning approaches, such as convolutional neural networks (CNNs) and the Inception V3 architecture, along with image enhancement techniques like contrast limited adaptive histogram equalization (CLAHE).
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Samarjeet Borah, PhD, is Professor and Head of the Department of Computer Applications at SMIT, Sikkim Manipal University, India. He has led funded research projects, published research papers in peer reviewed journals and conference proceedings, and organized numerous national and international workshops and conferences. He has contributed to several book volumes and journals published by leading publishers and serves as Editor-in-Chief of the book series Research Notes on Computing and Communication Sciences.
Jambi Ratna Raja Kumar, PhD, is the Principal of Genba Sopanrao Moze College of Engineering, Pune, Maharashtra, India. With over 17 years of teaching and research experience, he has published research papers and has seven patents on artificial intelligence and machine learning. He has guided many undergraduate, postgraduate, and PhD students and has received several awards, including being named Distinguished Principal at the Dr. APJ Abdul Kalam Puraskar 2022 and Best Innovative Leader of the Year (Maharashtra) at the Asia Education Summit and Awards 2019.
Laxmi Bewoor, PhD, is an Associate Professor of Computer Engineering at the Vishwakarma Institute of Information Technology, India. She holds six international patents, has published articles in journals and conferences, and is a reviewer for leading journals. Dr. Bewoor is also a resource person for several academic institutes. She has chaired sessions at international conferences and collaborated with many industries and research organizations.
Rahul Raghvendra Joshi, PhD, is an Associate Professor at the Symbiosis Institute of Technology, Pune, India. He has more than 17 years of experience and over 100 publications to his name. He is a reviewer for reputed Scopus-indexed journals. His research areas include computational intelligence, multicriteria decision-making, blockchain, and cloud computing.
Mahendra Prabhakar Deore, PhD, is an Assistant Professor of Computer Engineering at MKSSS’s Cummins College of Engineering for Women, Pune, India. With over 16 years of dedicated teaching experience at the undergraduate level, he possesses deep knowledge and expertise in this domain. Throughout his academic journey, Dr. Deore has authored and published more than 20 SCI- and Scopusindexed research papers.
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Hardcover. Condición: new. Hardcover. This volume explores a wide range of advanced applications of intelligent technologies in image processing across diverse domains. It examines biological and biomedical imaging, highlighting the use of machine learning and deep learning techniques for the diagnosis and detection of conditions such as brain tumors, diabetes, pneumonia, and heart disease. Beyond healthcare, the book presents applications of intelligent computing in areas including plant identification and leaf disease detection, fruit classification and counting, forensic analysis, facial detection and emotion recognition, and sketch-tophoto synthesis. It also provides insights into key deep learning approaches, such as convolutional neural networks (CNNs) and the Inception V3 architecture, along with image enhancement techniques like contrast limited adaptive histogram equalization (CLAHE). Explores the amalgamation of intelligent computing, analytics, and image processing, introducing novel applications and new solutions to image processing challenges. Discusses the processing of biological and biomedical imaging, looking at ML and deep learning for diagnosis and detection of brain tumors, diabetes, heart disease, etc. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781779640765
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Condición: New. Samarjeet Borah, PhD, is Professor and Head of the Department of Computer Applications at SMIT, Sikkim Manipal University, India. He has led funded research projects, published research papers in peer reviewed journals and conference pro. Nº de ref. del artículo: 3137134353
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Hardcover. Condición: new. Hardcover. This volume explores a wide range of advanced applications of intelligent technologies in image processing across diverse domains. It examines biological and biomedical imaging, highlighting the use of machine learning and deep learning techniques for the diagnosis and detection of conditions such as brain tumors, diabetes, pneumonia, and heart disease. Beyond healthcare, the book presents applications of intelligent computing in areas including plant identification and leaf disease detection, fruit classification and counting, forensic analysis, facial detection and emotion recognition, and sketch-tophoto synthesis. It also provides insights into key deep learning approaches, such as convolutional neural networks (CNNs) and the Inception V3 architecture, along with image enhancement techniques like contrast limited adaptive histogram equalization (CLAHE). Explores the amalgamation of intelligent computing, analytics, and image processing, introducing novel applications and new solutions to image processing challenges. Discusses the processing of biological and biomedical imaging, looking at ML and deep learning for diagnosis and detection of brain tumors, diabetes, heart disease, etc. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9781779640765
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