Industry 5.0 – serie
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3 produkter
3 produkter
Inbunden, Engelska, 2024
1 794 kr
Skickas inom 10-15 vardagar
Machine Learning for Mobile Communications will take readers on a journey from basic to advanced knowledge about mobile communications and machine learning. For learners at the basic level, this book volume discusses a wide range of mobile communications topics from the system level, such as system design and optimization, to the user level, such as power control and resource allocation. The authors also review state-of-the-art machine learning, one of the biggest emerging trends in both academia and industry. For learners at the advanced level, this book discusses solutions for long-term problems with future mobile communications such as resource allocation, security, power control, and spectral efficiency. The book brings together some of the top mobile communications and machine learning experts throughout the world, who contributed their knowledge and experience regarding system design and optimization.This book:Discusses the 5G new radio system design and architecture as specified in 3GPP documentsHighlights the challenges including security and privacy, energy, and spectrum efficiency from the perspective of 5G new radio systemsIdentifies both theoretical and practical problems that can occur in mobile communication systemsCovers machine learning techniques such as autoencoder and Q-learning in a comprehensive mannerExplores how to apply machine learning techniques to mobile systems to solve modern problemsThis book is for senior undergraduate and graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.
Häftad, Engelska, 2025
735 kr
Skickas inom 10-15 vardagar
Machine Learning for Mobile Communications will take readers on a journey from basic to advanced knowledge about mobile communications and machine learning. For learners at the basic level, this book volume discusses a wide range of mobile communications topics from the system level, such as system design and optimization, to the user level, such as power control and resource allocation. The authors also review state-of-the-art machine learning, one of the biggest emerging trends in both academia and industry. For learners at the advanced level, this book discusses solutions for long-term problems with future mobile communications such as resource allocation, security, power control, and spectral efficiency. The book brings together some of the top mobile communications and machine learning experts throughout the world, who contributed their knowledge and experience regarding system design and optimization.This book:Discusses the 5G new radio system design and architecture as specified in 3GPP documentsHighlights the challenges including security and privacy, energy, and spectrum efficiency from the perspective of 5G new radio systemsIdentifies both theoretical and practical problems that can occur in mobile communication systemsCovers machine learning techniques such as autoencoder and Q-learning in a comprehensive mannerExplores how to apply machine learning techniques to mobile systems to solve modern problemsThis book is for senior undergraduate and graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.
Inbunden, Engelska, 2026
2 071 kr
Kommande
Healthcare is undergoing a profound transformation driven by the convergence of Artificial Intelligence (AI) and the Medical Internet of Things (MIoT). This powerful integration is enabling a new era of smart healthcare systems that are predictive, personalized, and continuously connected. Artificial Intelligence driven Informatics and Medical Internet of Things presents a comprehensive exploration of this emerging paradigm. It brings together cutting-edge research, practical applications, and interdisciplinary perspectives to illustrate how intelligent algorithms and connected medical devices are reshaping modern healthcare. A key strength of this book lies in its forward-looking perspective, examining emerging trends such as agentic AI, smart healthcare infrastructures, and the future of connected medical systems.This book:Covers a wide range of topics from foundational concepts of AI and IoT to advanced machine learning models, deep learning applications, and real-time healthcare analytics.Highlights innovative solutions for disease prediction, diagnosis, and clinical decision support.Addresses critical challenges such as data security, privacy, and ethical considerations in MIoT-enabled environments.Demonstrates the transformative impact of AI-driven informatics in real-world settings through detailed case studies and domain-specific applications, including diabetes care, epilepsy detection, Alzheimer’s diagnosis, and emergency healthcare systems.Integrates Electronic Health Records (EHRs), multimodal AI systems, and intelligent chatbots further underscores the move toward patient-centric and data-driven healthcare ecosystems and provides valuable insights into how these technologies can be harnessed to improve healthcare accessibility, efficiency, and quality on a global scale.Bridging technology and medicine, this book offers a roadmap toward a smarter, more connected, and equitable healthcare future and is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.