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Published by Cham, Springer International Publishing., 2021
ISBN 10: 3030752194 ISBN 13: 9783030752194
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Published by Taylor and Francis Ltd, GB, 2025
ISBN 10: 1041019262 ISBN 13: 9781041019268
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Paperback. Condition: New. Biomedical engineering is undergoing a transformation because of AI, which is allowing creative solutions that enhance patient outcomes, diagnosis, treatment planning, and healthcare delivery. Artificial Intelligence and Cloud Computing Applications in Biomedical Engineering examines the salient characteristics of AI in biomedical engineering, highlighting its practical applications and new directions. Highlights of the book include:Genome sequence and visualizationThe role of AI and cloud in detection of diseasesNature-inspired algorithms for disease detectionFrameworks for disease classificationWith a focus on designing AI techniques for disease detection, the book explores the role of AI in biomedical engineering. It discusses how machine learning (ML) and deep learning (DL) are at the heart of AI applications in biomedical engineering. ML algorithms, particularly those based on neural networks, enable computers to learn from large datasets, identify patterns, and make predictions or decisions without explicit programming, and implementing ML algorithms is a focus of the book. Another focus is on DL, a subset of ML, and how it uses multi-layered neural networks to achieve high accuracy in such complex tasks as image and speech recognition. Biomedical engineering generates massive amounts of data from medical imaging, genomic sequencing, wearable devices, electronic health records (EHR), and other sources. This book also discusses AI-driven big data analytics, which allows researchers and clinicians to derive from data meaningful insights, aiding in early disease detection, personalized treatment plans, and patient monitoring.
Language: English
Published by Auerbach Publications, 2025
ISBN 10: 1041019262 ISBN 13: 9781041019268
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Published by LAP LAMBERT Academic Publishing, 2023
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Add to basketPaperback. Condition: new. Paperback. Biomedical engineering is undergoing a transformation because of AI, which is allowing creative solutions that enhance patient outcomes, diagnosis, treatment planning, and healthcare delivery. Artificial Intelligence and Cloud Computing Applications in Biomedical Engineering examines the salient characteristics of AI in biomedical engineering, highlighting its practical applications and new directions. Highlights of the book include:Genome sequence and visualizationThe role of AI and cloud in detection of diseasesNature-inspired algorithms for disease detectionFrameworks for disease classificationWith a focus on designing AI techniques for disease detection, the book explores the role of AI in biomedical engineering. It discusses how machine learning (ML) and deep learning (DL) are at the heart of AI applications in biomedical engineering. ML algorithms, particularly those based on neural networks, enable computers to learn from large datasets, identify patterns, and make predictions or decisions without explicit programming, and implementing ML algorithms is a focus of the book. Another focus is on DL, a subset of ML, and how it uses multi-layered neural networks to achieve high accuracy in such complex tasks as image and speech recognition. Biomedical engineering generates massive amounts of data from medical imaging, genomic sequencing, wearable devices, electronic health records (EHR), and other sources. This book also discusses AI-driven big data analytics, which allows researchers and clinicians to derive from data meaningful insights, aiding in early disease detection, personalized treatment plans, and patient monitoring. Biomedical engineering is undergoing a transformation due to AI and cloud computing, which are allowing creative solutions that enhance patient outcomes, diagnosis, treatment planning, and healthcare delivery. This work examines these two computing paradigms in biomedical engineering, highlighting practical applications and new directions. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by China Water Conservancy and Hydropower Press, 2022
ISBN 10: 751709985X ISBN 13: 9787517099857
Seller: liu xing, Nanjing, JS, China
paperback. Condition: New. Paperback.Pub Date:2022-03-01 Pages:418 Publisher:China Water Resources and Hydropower Press Deep learning is a subset of machine learning based on multi-layer neural networks. which can solve particularly difficult and difficult tasks in fields such as natural language processing and image classification. massive problem. Apache Spark Deep Learning in Action breaks down the complexity of the technical and analytical parts and the speed at which deep learning solutions can be implemented on A.
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Condition: New. Dr. Madhusudhan H S is an associate professor in the Department of Computer Science and Engineering at Vidyavardhaka College of Engineering, Mysuru, India.Dr. Punit Gupta is an associate professor in the department of Computer and Co.
Language: English
Published by Scholars' Press Jun 2018, 2018
ISBN 10: 6202313218 ISBN 13: 9786202313216
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. Neuware -This book would serve as an ideal guide for B.E. B.Tech., B.S., B.Sc, B.C.A., undergraduate students of Computer Science and Engineering, Information Technology, Electronics and Communication Engineering who wish to take up projects on applications of cloud computing and artificial intelligence in healthcare. Students pursuing postgraduate course in Science and Engineering, M.E., M.Tech., M.S., M.Sc., M.C.A. students will find this book useful for their projects. Research Scholars working in the area of healthcare domain will find this book as a handy reference guide for their M.Phil., Ph.D. D.Sc., and other post-doctoral research works. Software Engineers involved in IT and ITES sector specifically on artificial intelligence domain, would find this book as a useful resource. As a word of conclusion we believe that the reader will find this book as a really helpful guide and a valuable source of information about various principles and strategies of artificial intelligence and cloud computing in healthcare.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 136 pp. Englisch.