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Verlag: LAP LAMBERT Academic Publishing, 2018
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Taschenbuch. Zustand: Neu. Topology Management for Energy Constrained Wireless Sensor Networks | Suganthi Kulanthaivelu (u. a.) | Taschenbuch | 136 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139939978 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Hardback. Zustand: New. 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.
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In den WarenkorbHardback. Zustand: 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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Verlag: Institution of Engineering and Technology, GB, 2023
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Hardback. Zustand: 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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In den WarenkorbHardback. Zustand: New. 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.
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