V rajinikanth (29 Ergebnisse)

Zustand: New. pp. 160.

Zustand: New.

Taschenbuch. Zustand: Neu. Neuware.

Zustand: New. In English.

Zustand: New.

Paperback. Zustand: Brand New. 134 pages. 9.19x6.13x0.43 inches. In Stock.

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

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

Zustand: New. In English.

Zustand: New. In English.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 300 | Sprache: Englisch | Produktart: Bücher | This book comprehensively reviews the various automated and semi-automated signal and image processing techniques, as well as deep-learning-based image analysis techniques, used in healthcare diagnostics.It highlights a range of data pre-processing methods used in signal processing for effective data mining in remote healthcare, and discusses pre-processing using filter techniques, noise removal, and contrast-enhanced methods for improving image quality.The book discusses the status quo of artificial intelligence in medical applications, as well as its future. Further, it offers a glimpse of feature extraction methods for reducing dimensionality and extracting discriminatory information hidden in biomedical signals. Given its scope, the book is intended for academics, researchers and practitioners interested in the latest real-world technological innovations.…

Zustand: New. Discusses challenges and issues faced, as well as safety precautions to be followed Features case studies with benchmark MRIs existing in the literature Introduces computer-based assessment (Machine Learning and Deep Learning) of .

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book comprehensively reviews the various automated and semi-automated signal and image processing techniques, as well as deep-learning-based image analysis techniques, used in healthcare diagnostics.It highlights a range of data pre-processing methods used in signal processing for effective data mining in remote healthcare, and discusses pre-processing using filter techniques, noise removal, and contrast-enhanced methods for improving image quality.The book discusses the status quo of artificial intelligence in medical applications, as well as its future. Further, it offers a glimpse of feature extraction methods for reducing dimensionality and extracting discriminatory information hidden in biomedical signals. Given its scope, the book is intended for academics, researchers and practitioners interested in the latest real-world technological innovations.…

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems | E. Priya (u. a.) | Taschenbuch | xiv | Englisch | 2021 | Springer | EAN 9789811561436 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Zustand: New. In English.

Zustand: New. In English.

Gebunden. Zustand: New.

Zustand: New. pp. 152.

Taschenbuch. Zustand: Neu. Applications of Bat Algorithm and its Variants | Nilanjan Dey (u. a.) | Taschenbuch | Springer Tracts in Nature-Inspired Computing | xii | Englisch | 2021 | Springer | EAN 9789811550997 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book highlights essential concepts in connection with the traditional bat algorithm and its recent variants, as well as its application to find optimal solutions for a variety of real-world engineering and medical problems. Today, swarm intelligence-based meta-heuristic algorithms are extensively being used to address a wide range of real-world optimization problems due to their adaptability and robustness. Developed in 2009, the bat algorithm (BA) is one of the most successful swarm intelligence procedures, and has been used to tackle optimization tasks for more than a decade. The BA's mathematical model is quite straightforward and easy to understand and enhance, compared to other swarm approaches. Hence, it has attracted the attention of researchers who are working to find optimal solutions in a diverse range of domains, such as N-dimensional numerical optimization, constrained/unconstrained optimization and linear/nonlinear optimization problems. Along with the traditional BA, its enhanced versions are now also being used to solve optimization problems in science, engineering and medical applications around the globe.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book highlights essential concepts in connection with the traditional bat algorithm and its recent variants, as well as its application to find optimal solutions for a variety of real-world engineering and medical problems. Today, swarm intelligence-based meta-heuristic algorithms are extensively being used to address a wide range of real-world optimization problems due to their adaptability and robustness. Developed in 2009, the bat algorithm (BA) is one of the most successful swarm intelligence procedures, and has been used to tackle optimization tasks for more than a decade. The BA's mathematical model is quite straightforward and easy to understand and enhance, compared to other swarm approaches. Hence, it has attracted the attention of researchers who are working to find optimal solutions in a diverse range of domains, such as N-dimensional numerical optimization, constrained/unconstrained optimization and linear/nonlinear optimization problems. Along with the traditional BA, its enhanced versions are now also being used to solve optimization problems in science, engineering and medical applications around the globe.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book comprehensively reviews the various automated and semi-automated signal and image processing techniques, as well as deep-learning-based image analysis techniques, used in healthcare diagnostics.It highlights a range of data pre-processing methods used in signal processing for effective data mining in remote healthcare, and discusses pre-processing using filter techniques, noise removal, and contrast-enhanced methods for improving image quality.The book discusses the status quo of artificial intelligence in medical applications, as well as its future. Further, it offers a glimpse of feature extraction methods for reducing dimensionality and extracting discriminatory information hidden in biomedical signals. Given its scope, the book is intended for academics, researchers and practitioners interested in the latest real-world technological innovations.…

Zustand: New. In English.

Zustand: New. KlappentextFrontiers of Artificial Intelligence in Medical Imaging considers the recent advancements happening in hospitals to diagnose various diseases accurately using AI supported detection procedures.

Paperback. Zustand: Brand New. 184 pages. 9.25x6.10x0.44 inches. In Stock.

Hardcover. Zustand: Brand New. 184 pages. 9.25x6.10x9.21 inches. In Stock.

Hardcover. Zustand: Brand New. 1st edition. 122 pages. 9.50x6.25x0.75 inches. In Stock.

Buch. Zustand: Neu. Neuware - This book is designed to consider the recent advancements in hospitals to diagnose various diseases accurately using AI-supported detection procedures. This work examines recent AI-supported disease detection techniques from prominent researchers and clinicians working in the medical imaging processing domain. Within this book, the integration of various AI methods, such as soft computing, machine learning, deep learning, and other related works will be presented. Real clinical images utilizing AI are incorporated. The book also includes several chapters on machine learning, convoluted neural networks, segmentation, and deep learning-assisted two-class and multi-class classification.Key Features: - Implementation of machine-learning-assisted disease detection- Implementation of CNN (Convolutional Neural Networks) based medical image segmentation and assessment- Implementation of deep-learning-based medical data assessment- Hybridizing machine learning and deep learning features to enhance detection accuracy.…