swarnkar suman kumar (74 résultats)

Etat : New. In.

Etat : New.

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the groundbreaking ways artificial intelligence (AI) is revolutionizing the healthcare industry and delves into how AI technologies are enhancing patient care, improving diagnostic accuracy, and streamlining healthcare operations. With real-world examples of how AI is being used in hospitals, clinics, and research institutions around the world as well as insights from leading experts who provide readers with access to cutting-edge knowledge and diverse perspectives on the future of medicine, the book provides a comprehensive overview of the innovations driving the future of medicine. Healthcare is facing big challenges including the growing demand for medical services, the need for more accurate diagnoses, and the pressure to reduce costs. AI can help solve these problems by making healthcare more efficient, precise, and accessible to everyone. Appropriate for healthcare professionals, technology enthusiasts, or simply curious readers about the future of healthcare, this book offers a clear and engaging look at how AI is reshaping the medical landscape for the better. Specifically, the book covers various aspects of AI in healthcare, including diagnostics, treatment planning, patient monitoring, hospital management, and public health. In addition, the book presents the ethical, legal, and societal implications, providing a well-rounded discussion that considers both the opportunities and challenges of AI in healthcare.

Etat : New.

hardcover. Etat : Very Good.

Taschenbuch. Etat : Neu. Neuware -Human-computer-interactions (HCI) are very helpful for current technology world. Later the trendy data policies restrict the instinctive nature & velocity of HCI use, the sign language acknowledgement framework has multiplied many significances. Completely one of a kind sign language is frequently accustomed to specific intentions and intonations or for dominant units like domestic robots. In Previous work, ICNN was once in contrast to a baseline CNN and in preceding work OCNN gain 99.96% recognition rate. The foremost centre of attention of this evaluation is to enhance the loss and execution time of ICNN model by using optimizing the preference for alternate OCNN. New model is improving configuration by applying optimizing function in bottom layer. Due to the fact it is previously acknowledged, one optimizer will never give higher accuracy for all situation. The desire for the optimizer to be created through thinking about the variability of facts and consequently the nonlinearity degree of the connection designs that happen inside the facts. As a result of the theoretical calculation isn't always sufficient to work out the easiest optimization function.Books on Demand GmbH, Überseering 33, 22297 Hamburg 120 pp. Englisch.

Hardcover. Etat : Brand New. 164 pages. 9.44x6.61x9.61 inches. In Stock.

Taschenbuch. Etat : Neu. Neuware - This book explains different applications of supervised and unsupervised data engineering for working with multimedia objects. Throughout this book, the contributors highlight the use of Artificial Intelligence-based soft computing and machine techniques in the field of medical diagnosis, biometrics, networking, automation in vehicle manufacturing, data science and automation in electronics industries.

Etat : New. pp. 182.

Etat : New.

Hardback. Etat : New. New copy - Usually dispatched within 4 working days. 470.

Etat : New. In.

Etat : New. In.

Hardback. Etat : New. New copy - Usually dispatched within 4 working days. 500.

Etat : New. pp. 182 1st edition NO-PA16APR2015-KAP.

Etat : New. 1st edition NO-PA16APR2015-KAP.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : New.

Hardcover. Etat : new. Hardcover. This book explores the interdisciplinary nature of machine learning in multimedia, highlighting its intersections with fields such as computer vision, natural language processing, and audio signal processing.Machine Learning in Multimedia: Unlocking the Power of Visual and Auditory Intelligence serves as a comprehensive guide to navigating this exciting terrain where artificial intelligence meets the rich tapestry of visual and auditory data. At its core, this book seeks to unravel the mysteries and unveil the potential of machine learning in the realm of multimedia. Whether it's enhancing user experiences in virtual environments, revolutionizing medical diagnostics, or shaping the future of entertainment, the impact of machine learning in multimedia is profound and far-reaching. The journey begins with a thorough exploration of the foundational principles of machine learning, providing readers with a solid understanding of algorithms, models, and techniques tailored specifically for multimedia data. Through clear explanations and illustrative examples, readers will gain insights into how machine learning algorithms can be trained to extract meaningful patterns and insights from diverse forms of multimedia content. Moving beyond theory, this book delves into practical implementations and real-world applications of machine learning in multimedia. Through a series of case studies and examples, readers will witness firsthand how machine learning algorithms are transforming industries and reshaping the way we interact with multimedia content. Whether it's improving image recognition accuracy in autonomous vehicles, enabling personalized recommendations in streaming platforms, or enhancing speech recognition systems for better accessibility, the possibilities are limitless.This book will be helpful to computer science, data science, and artificial intelligence researchers, students, and professionals looking to unlock the full potential of visual and auditory intelligence through the power of machine learning. This book explores the interdisciplinary nature of machine learning in multimedia, highlighting its intersections with fields such as computer vision, natural language processing, and audio signal processing. It uses case studies and examples to discuss the potential of machine learning in the realm of multimedia. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New. pp. 182.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Hardcover. Etat : new. Hardcover. This book, Smart Agriculture: Harnessing Machine Learning for Crop Management, is a comprehensive guide designed to explore the various facets of integrating machine learning into agricultural practices. It aims to provide readers with a solid foundation in machine learning concepts while demonstrating their practical applications in real-world farming scenarios. It also examines the role of remote monitoring and precision agriculture, highlighting how technologies such as remote sensing and recurrent neural networks can optimize farming practices.This book: Emphasizes sustainable agricultural practices and data-driven decision-making for eco-friendly farming. Highlights the importance of using environmentally friendly practices, and how machine learning can play a pivotal role in achieving sustainability goals. Discusses topics such as crop optimization, disease detection, pest control, resource management, precision agriculture, and sustainability. Covers predictive analytics for weather forecasting, Internet of Things applications for precision agriculture, and the role of sensors in data collection. Illustrates optimizing resource allocation, irrigation with artificial intelligence, and machine learning for soil health assessment. Whether you are a researcher, a student, an agricultural professional, or a technology enthusiast, this book offers valuable insights into the transformative power of machine learning in agriculture. It invites readers to explore the potential of machine learning to transform farming practices, improve food security, and promote environmental sustainability. This book is a comprehensive guide designed to explore the various facets of integrating machine learning into agricultural practices. It aims to provide readers with a solid foundation in machine learning concepts while demonstrating their practical applications in real-world farming scenarios. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Etat : new. Hardcover. This book explores the interdisciplinary nature of machine learning in multimedia, highlighting its intersections with fields such as computer vision, natural language processing, and audio signal processing.Machine Learning in Multimedia: Unlocking the Power of Visual and Auditory Intelligence serves as a comprehensive guide to navigating this exciting terrain where artificial intelligence meets the rich tapestry of visual and auditory data. At its core, this book seeks to unravel the mysteries and unveil the potential of machine learning in the realm of multimedia. Whether it's enhancing user experiences in virtual environments, revolutionizing medical diagnostics, or shaping the future of entertainment, the impact of machine learning in multimedia is profound and far-reaching. The journey begins with a thorough exploration of the foundational principles of machine learning, providing readers with a solid understanding of algorithms, models, and techniques tailored specifically for multimedia data. Through clear explanations and illustrative examples, readers will gain insights into how machine learning algorithms can be trained to extract meaningful patterns and insights from diverse forms of multimedia content. Moving beyond theory, this book delves into practical implementations and real-world applications of machine learning in multimedia. Through a series of case studies and examples, readers will witness firsthand how machine learning algorithms are transforming industries and reshaping the way we interact with multimedia content. Whether it's improving image recognition accuracy in autonomous vehicles, enabling personalized recommendations in streaming platforms, or enhancing speech recognition systems for better accessibility, the possibilities are limitless.This book will be helpful to computer science, data science, and artificial intelligence researchers, students, and professionals looking to unlock the full potential of visual and auditory intelligence through the power of machine learning. This book explores the interdisciplinary nature of machine learning in multimedia, highlighting its intersections with fields such as computer vision, natural language processing, and audio signal processing. It uses case studies and examples to discuss the potential of machine learning in the realm of multimedia. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Etat : new. Hardcover. This book, Smart Agriculture: Harnessing Machine Learning for Crop Management, is a comprehensive guide designed to explore the various facets of integrating machine learning into agricultural practices. It aims to provide readers with a solid foundation in machine learning concepts while demonstrating their practical applications in real-world farming scenarios. It also examines the role of remote monitoring and precision agriculture, highlighting how technologies such as remote sensing and recurrent neural networks can optimize farming practices.This book: Emphasizes sustainable agricultural practices and data-driven decision-making for eco-friendly farming. Highlights the importance of using environmentally friendly practices, and how machine learning can play a pivotal role in achieving sustainability goals. Discusses topics such as crop optimization, disease detection, pest control, resource management, precision agriculture, and sustainability. Covers predictive analytics for weather forecasting, Internet of Things applications for precision agriculture, and the role of sensors in data collection. Illustrates optimizing resource allocation, irrigation with artificial intelligence, and machine learning for soil health assessment. Whether you are a researcher, a student, an agricultural professional, or a technology enthusiast, this book offers valuable insights into the transformative power of machine learning in agriculture. It invites readers to explore the potential of machine learning to transform farming practices, improve food security, and promote environmental sustainability. This book is a comprehensive guide designed to explore the various facets of integrating machine learning into agricultural practices. It aims to provide readers with a solid foundation in machine learning concepts while demonstrating their practical applications in real-world farming scenarios. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.