Isbn: 9783112237076 - generative ai and internet of medical things: artificial intelligence, biomedical engineering, wearable sensors (mathematical methods in the digital age) (6 resultados)

Condición: New. Dr Pethuru Raj, PhD SMIEEE, is the chief architect in the Edge AI division of Reliance Jio Platforms Ltd., Bangalore, India. He focuses on emerging technologies such as the Internet of Things (IoT), Artificial Intelligence (AI) Model Optimization, Big an.

Buch. Condición: Neu. Generative AI and Internet of Medical Things | Artificial Intelligence, Biomedical Engineering, Wearable Sensors | Pethuru Raj Chelliah (u. a.) | Buch | XX | Englisch | 2026 | De Gruyter | EAN 9783112237076 | Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, productsafety[at]degruyterbrill[dot]com | Anbieter: preigu.…

Buch. Condición: Neu. Neuware - The Internet of Medical Things (IoMT) paradigm focuses on digitizing medical electronics and instruments in hospital environments, connecting them to cloud-hosted healthcare-related content, data, services, and applications through the Internet communication infrastructure. This book also illustrates how such a technological empowerment makes healthcare devices and equipment intelligently autonomous in their decisions, actions, and reactions. It elucidates the latest trends and transitions in the field of IoMT for medical doctors, surgeons, specialists, caregivers, and patients. It covers algorithms used in machine learning, deep learning, reinforcement learning and ensemble learning, as well as the individual steps involved in AI model development, and explains how to analyse healthcare data effectively. Additionally, generative AI tools -including large, small, vision, and multimodal language models -are useful for envisioning and implementing expert decision science, question/answer (Q/A) systems, and conversational AI chatbots to support medical professionals in their work. This book is a handholding guide for healthcare service providers and consumers, AI engineers, 5G, edge computing and IoT architects.…

Hardcover. Condición: new. Hardcover. The Internet of Medical Things (IoMT) paradigm focuses on digitizing medical electronics and instruments in hospital environments, connecting them to cloud-hosted healthcare-related content, data, services, and applications through the Internet communication infrastructure. This book also illustrates how such a technological empowerment makes healthcare devices and equipment intelligently autonomous in their decisions, actions, and reactions. It elucidates the latest trends and transitions in the field of IoMT for medical doctors, surgeons, specialists, caregivers, and patients. It covers algorithms used in machine learning, deep learning, reinforcement learning and ensemble learning, as well as the individual steps involved in AI model development, and explains how to analyse healthcare data effectively. Additionally, generative AI tools -including large, small, vision, and multimodal language models -are useful for envisioning and implementing expert decision science, question/answer (Q/A) systems, and conversational AI chatbots to support medical professionals in their work. This book is a handholding guide for healthcare service providers and consumers, AI engineers, 5G, edge computing and IoT architects. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardcover. Condición: new. Hardcover. The Internet of Medical Things (IoMT) paradigm focuses on digitizing medical electronics and instruments in hospital environments, connecting them to cloud-hosted healthcare-related content, data, services, and applications through the Internet communication infrastructure. This book also illustrates how such a technological empowerment makes healthcare devices and equipment intelligently autonomous in their decisions, actions, and reactions. It elucidates the latest trends and transitions in the field of IoMT for medical doctors, surgeons, specialists, caregivers, and patients. It covers algorithms used in machine learning, deep learning, reinforcement learning and ensemble learning, as well as the individual steps involved in AI model development, and explains how to analyse healthcare data effectively. Additionally, generative AI tools -including large, small, vision, and multimodal language models -are useful for envisioning and implementing expert decision science, question/answer (Q/A) systems, and conversational AI chatbots to support medical professionals in their work. This book is a handholding guide for healthcare service providers and consumers, AI engineers, 5G, edge computing and IoT architects. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condición: new. Hardcover. The Internet of Medical Things (IoMT) paradigm focuses on digitizing medical electronics and instruments in hospital environments, connecting them to cloud-hosted healthcare-related content, data, services, and applications through the Internet communication infrastructure. This book also illustrates how such a technological empowerment makes healthcare devices and equipment intelligently autonomous in their decisions, actions, and reactions. It elucidates the latest trends and transitions in the field of IoMT for medical doctors, surgeons, specialists, caregivers, and patients. It covers algorithms used in machine learning, deep learning, reinforcement learning and ensemble learning, as well as the individual steps involved in AI model development, and explains how to analyse healthcare data effectively. Additionally, generative AI tools -including large, small, vision, and multimodal language models -are useful for envisioning and implementing expert decision science, question/answer (Q/A) systems, and conversational AI chatbots to support medical professionals in their work. This book is a handholding guide for healthcare service providers and consumers, AI engineers, 5G, edge computing and IoT architects. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…