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Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839537779 ISBN 13: 9781839537776
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Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839537779 ISBN 13: 9781839537776
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Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839537779 ISBN 13: 9781839537776
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Published by The Institution of Engineering and Technology, 2025
ISBN 10: 183724099X ISBN 13: 9781837240999
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by The Institution of Engineering and Technology, 2025
ISBN 10: 183724099X ISBN 13: 9781837240999
Seller: California Books, Miami, FL, U.S.A.
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Published by The Institution of Engineering and Technology, 2025
ISBN 10: 183724099X ISBN 13: 9781837240999
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by Institution of Engineering and Technology, GB, 2023
ISBN 10: 1839537779 ISBN 13: 9781839537776
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condition: New. There are a growing number of challenges in handling medical data in order to provide an effective healthcare service in real-time. Bridging the gap between patient expectations and their experiences needs effective collaboration and connectivity across the healthcare ecosystem. The success of joined-up care relies on patient data being shared between all active stakeholders, including hospitals, outreach workers, and GPs. All these needs and challenges pave the way for the next trend of development in healthcare - healthcare 4.0. This book covers the state-of-the-art approaches in AI, IOT, cloud, big data, deep learning, and blockchain for building intelligent healthcare 4.0 systems, which provide effective healthcare services in real-time. The editors consider the benefits and challenges of immersive technologies and mixed reality systems for physical and mental health conditions, and outline and discuss the trending technologies supporting the internet of medical things, patient-centred care, assisted medical diagnoses, and electronic medical records. Technologies for Healthcare 4.0: From AI and IoT to blockchain is essential reading for researchers, scientists, engineers, designers and advanced students in the fields of computer science, computer vision, pattern recognition, machine learning, imaging, feature engineering, IOT, AI, signal processing, blockchain and big data for healthcare and those in adjacent fields.
Language: English
Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839537779 ISBN 13: 9781839537776
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Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839537779 ISBN 13: 9781839537776
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Published by The Institution of Engineering and Technology, 2025
ISBN 10: 183724099X ISBN 13: 9781837240999
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Published by The Institution of Engineering and Technology, 2025
ISBN 10: 183724099X ISBN 13: 9781837240999
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Published by Institution of Engineering and Technology, 2025
ISBN 10: 183724099X ISBN 13: 9781837240999
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Published by Institution of Engineering and Technology, 2025
ISBN 10: 183724099X ISBN 13: 9781837240999
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Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839537779 ISBN 13: 9781839537776
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Published by Inst of Engineering & Technology, 2025
ISBN 10: 183724099X ISBN 13: 9781837240999
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Add to basketHardcover. Condition: Brand New. 336 pages. 9.21x6.14 inches. In Stock.
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Published by Institution of Engineering and Technology, GB, 2023
ISBN 10: 1839537779 ISBN 13: 9781839537776
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
Hardback. Condition: New. There are a growing number of challenges in handling medical data in order to provide an effective healthcare service in real-time. Bridging the gap between patient expectations and their experiences needs effective collaboration and connectivity across the healthcare ecosystem. The success of joined-up care relies on patient data being shared between all active stakeholders, including hospitals, outreach workers, and GPs. All these needs and challenges pave the way for the next trend of development in healthcare - healthcare 4.0. This book covers the state-of-the-art approaches in AI, IOT, cloud, big data, deep learning, and blockchain for building intelligent healthcare 4.0 systems, which provide effective healthcare services in real-time. The editors consider the benefits and challenges of immersive technologies and mixed reality systems for physical and mental health conditions, and outline and discuss the trending technologies supporting the internet of medical things, patient-centred care, assisted medical diagnoses, and electronic medical records. Technologies for Healthcare 4.0: From AI and IoT to blockchain is essential reading for researchers, scientists, engineers, designers and advanced students in the fields of computer science, computer vision, pattern recognition, machine learning, imaging, feature engineering, IOT, AI, signal processing, blockchain and big data for healthcare and those in adjacent fields.
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Published by Elsevier Science Ltd, 2026
ISBN 10: 0443364125 ISBN 13: 9780443364129
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Published by Institution Of Engineering & Technology Nov 2023, 2023
ISBN 10: 1839537779 ISBN 13: 9781839537776
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Buch. Condition: Neu. Neuware - This edited book discusses the challenges in handling medical data to provide effective healthcare services in real-time and outlines the approaches and the impact of, AI, IOT, cloud, big data, and blockchain technologies for building intelligent Healthcare 4.0 systems.
Language: English
Published by Institution Of Engineering & Technology Jun 2025, 2025
ISBN 10: 183724099X ISBN 13: 9781837240999
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Buch. Condition: Neu. Neuware - This edited book presents novel perspectives, approaches and methodologies as well as ethical and legal considerations, and future perspectives in the field of generative AI.
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Published by Institution of Engineering and Technology, Stevenage, 2025
ISBN 10: 183724099X ISBN 13: 9781837240999
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Hardcover. Condition: new. Hardcover. Today's generative AI has been marked by the advent of neural networks, inspired by the human brain, which are trained to recognize patterns in a dataset. Once the network is trained, it can make decisions or predictions without being programmed to perform tasks. Generative AI learns from a set of data without explicit instructions and can create and generate new digital content such as text, audio and art. Recent models are beginning to overcome challenges such as computational power, data quality and training stability.This edited book on generative AI presents novel perspectives, approaches and methodologies, as well as security, ethical and legal considerations, and future trends. Topics and technologies covered include generative transformers and text generation models, generative models for human-like speech synthesis, generative AI for image synthesis, data synthesis for privacy protection, and exploration of the impact of generative AI in fields including industry 4.0, astronomy, and brain tumour detection. Two chapters offer perspectives on ethics and legality.Generative AI Unleashed: Advancements, transformative applications and future frontiers will serve as a valuable resource for researchers, engineers, advanced students and lecturers operating in the domains that are significantly impacted by generative AI. This edited book presents novel perspectives, approaches and methodologies as well as ethical and legal considerations, and future perspectives in the field of generative AI. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Institution of Engineering and Technology, 2023
ISBN 10: 1839537779 ISBN 13: 9781839537776
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