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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

hardcover. Zustand: Fine.

Zustand: New. In English.

Zustand: NEW.

Paperback. Zustand: Brand New. 196 pages. 6.14x0.45x9.21 inches. In Stock.

Paperback. Zustand: Brand New. 210 pages. 6.14x0.48x9.21 inches. In Stock.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Taschenbuch. Zustand: Neu. Neuware - The transformative impact of emerging technologies such as AI, blockchain, and machine learning on industries and societies, particularly in Africa, can drive sustainable development, improve governance, and address global challenges like climate change, economic inequality, and data privacy. Knowledge Graph and Semantic Web Technology based XAI offers readers a comprehensive study of these developments. Through real-world examples and practical insights, it demonstrates how AI and blockchain can solve pressing issues in such sectors as education, agriculture, and finance. This book emphasizes the potential of these technologies in fostering economic growth, improving transparency, and advancing social development in Africa. - Explores AI, blockchain, and machine learning in the context of Africa's development - Highlights the role of emerging technologies in addressing global challenges - Discusses the applications of these technologies in various sectors - Provides practical examples and real¿world insights - Examines the risks, including cybersecurity and data privacy - Offers a balanced combination of technical depth and accessibility Knowledge Graph and Semantic Web Technology based XAI is for scholars, professionals, and policymakers interested in the role of emerging technologies in sustainable development, especially in Africa.…

Paperback. Zustand: Brand New. 270 pages. 6.14x0.60x9.21 inches. In Stock.

Paperback. Zustand: Brand New. 248 pages. 11.00x8.25x11.02 inches. In Stock.

Paperback. Zustand: Brand New. 232 pages. 9.18x6.12x9.21 inches. In Stock.

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Zustand: New. Ms. Indrakumari Ranganathan is working as an Assistant Professor, School of Computing Science and Engineering, Galgotias University, NCR Delhi, India. She has completed an M.Tech in Computer and Information Technology from Manonmaniam Sunda.

Zustand: New. G. Vennira Selvi is Professor at the School of Computer Science and Engineering and Information Science at Presidency University, Bengaluru, India. She received her Doctorate Degree in Computer Science and Engineering from Pondicherry University, .

Zustand: New. P. Mohamed Fathimal is working as an Assistant Professor in the Department of Computer Science and Engineering, Anna University. She received her PhD, ME, and BE in Computer Science and Engineering from Manonmaniam Sundaranar University, Tirunelve.

hardcover. Zustand: Fine.

Zustand: New. pp. 196.

hardcover. Zustand: Fine.

Taschenbuch. Zustand: Neu. Neuware - This book is designed as a reference text and provides a comprehensive overview of conceptual and practical knowledge about deep learning in medical image processing techniques. The post-pandemic situation teaches us the importance of doctors, medical analysis, and diagnosis of diseases in a rapid manner. This book provides a snapshot of the state of current research between deep learning, medical image processing, and health care with special emphasis on saving human life. The chapters cover a range of advanced technologies related to patient health monitoring, predicting diseases from genomic data, detecting artefactual events in vital signs monitoring data, and managing chronic diseases. This book - Delivers an ideal introduction to image processing in medicine, emphasizing the clinical relevance and special requirements of the field - Presents key principles by implementing algorithms from scratch and using simple MATLAB®/Octave scripts with image data - Provides an overview of the physics of medical image processing alongside discussing image formats and data storage, intensity transforms, filtering of images and applications of the Fourier transform, three-dimensional spatial transforms, volume rendering, image registration, and tomographic reconstruction - Highlights the new potential applications of machine learning techniques to the solution of important problems in biomedical image applications This book is for students, scholars, and professionals of biomedical technology and healthcare data analytics. …

Taschenbuch. Zustand: Neu. Neuware - This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine learning, specifically machine learning-as-a-service (MLaaS), to realize IoT to its full potential. On the application of machine learning to smart IoT applications, it becomes easier to observe, methodically analyze, and process a large amount of data to be used in various fields.Features: - Explains the current methods and algorithms used in machine learning and IoT knowledge discovery for smart applications - Covers machine- learning approaches that address the difficulties posed by IoT- generated data for smart applications - Describes how various methods are used to extract higher- level information from IoT- generated data - Presents the latest technologies and research findings on IoT for smart applications - Focuses on how machine learning algorithms are used in various real- world smart applications and engineering problems It is a ready reference for researchers and practitioners in the field of information technology who are interested in the IoT and Machine Learning fields. …

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Taschenbuch. Zustand: Neu. Neuware - The book explores the application of cutting-edge machine learning and deep learning algorithms in mining Electronic Health Records (EHR). With the aim of improving patient health management, this book explains the structure of EHR consisting of demographics, medical history, and diagnosis, with a focus on the design and representation of structured, semi-structured, and unstructured data. - Explains the design of organized, semi-structured, unstructured, and irregular time series data of electronic health records - Covers information extraction, standards for meta-data, reuse of metadata for clinical research, and organized and unstructured data - Discusses supervised and unsupervised learning in electronic health records - Describes clustering and classification techniques for organized, semi- structured, and unstructured data from electronic health records This book is an essential resource for researchers and professionals in fields like computer science, biomedical engineering, and information technology, seeking to enhance healthcare efficiency, security, and privacy through advanced data analytics and machine learning. …