Sujata dash (230 résultats)

Soft cover. Etat : New. ISBN:9781032938738,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.

1st ed. 2021. XXV, 434 p. Hardcover. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Big Data, 89. Sprache: Englisch.

Etat : As New. Unread book in perfect condition.

Etat : New. In English.

Etat : Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition.Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Paperback. Etat : New. Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induce knowledge from the data. It is helpful in cases where direct algorithmic solutions are unavailable, there is lack of formal models, or the knowledge about the application domain is inadequately defined. In the future IoT has the impending capability to change the way we work and live. These computing methods also play a significant role in design and optimization in diverse engineering disciplines. With the influence and the development of the IoT concept, the need for AI (artificial intelligence) techniques has become more significant than ever. The aim of these techniques is to accept imprecision, uncertainties and approximations to get a rapid solution. However, recent advancements in representation of intelligent IoTsystems generate a more intelligent and robust system providing a human interpretable, low-cost, and approximate solution. Intelligent IoT systems have demonstrated great performance to a variety of areas including big data analytics, time series, biomedical and health informatics. This book will be very beneficial for the new researchers and practitioners working in the biomedical and healthcare fields to quickly know the best performing methods. It will also be suitable for a wide range of readers who may not be scientists but who are also interested in the practice of such areas as medical image retrieval, brain image segmentation, among others. Discusses deep learning, IoT, machine learning, and biomedical data analysis with broad coverage of basic scientific applications. Presents deep learning and the tremendous improvement in accuracy, robustness, and cross- language generalizability it has over conventional approaches. Discusses various techniques of IoT systems for healthcare data analytics. Provides state-of-the-art methods of deep learning, machine learning and IoT in biomedical and health informatics. Focuses more on the application of algorithms in various real life biomedical and engineering problems.…

Etat : New. In English.

Paperback. Etat : New Books. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability. …

Paperback. Etat : Brand New. 192 pages. 8.66x5.91x0.44 inches. In Stock.

Paperback. Etat : Brand New. 382 pages. 9.18x6.12x9.21 inches. In Stock.

Taschenbuch. Etat : Neu. Knowledge Discovery using Machine Learning Algorithms | Sujata Dash (u. a.) | Taschenbuch | 192 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659926204 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. …

hardcover. Etat : Very Good.

Etat : As New. Unread book in perfect condition.

Paperback. Etat : New. Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induce knowledge from the data. It is helpful in cases where direct algorithmic solutions are unavailable, there is lack of formal models, or the knowledge about the application domain is inadequately defined. In the future IoT has the impending capability to change the way we work and live. These computing methods also play a significant role in design and optimization in diverse engineering disciplines. With the influence and the development of the IoT concept, the need for AI (artificial intelligence) techniques has become more significant than ever. The aim of these techniques is to accept imprecision, uncertainties and approximations to get a rapid solution. However, recent advancements in representation of intelligent IoTsystems generate a more intelligent and robust system providing a human interpretable, low-cost, and approximate solution. Intelligent IoT systems have demonstrated great performance to a variety of areas including big data analytics, time series, biomedical and health informatics. This book will be very beneficial for the new researchers and practitioners working in the biomedical and healthcare fields to quickly know the best performing methods. It will also be suitable for a wide range of readers who may not be scientists but who are also interested in the practice of such areas as medical image retrieval, brain image segmentation, among others. Discusses deep learning, IoT, machine learning, and biomedical data analysis with broad coverage of basic scientific applications. Presents deep learning and the tremendous improvement in accuracy, robustness, and cross- language generalizability it has over conventional approaches. Discusses various techniques of IoT systems for healthcare data analytics. Provides state-of-the-art methods of deep learning, machine learning and IoT in biomedical and health informatics. Focuses more on the application of algorithms in various real life biomedical and engineering problems.…

Etat : New.

Etat : New.

Etat : New. In English.

Etat : New. In English.

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

Paperback. Etat : new. Paperback. Mining Biomedical Text, Images and Visual Features for Information Retrieval Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Etat : New.

Paperback. Etat : new. Paperback. Internet of Things and Machine Learning for Type I and Type II Diabetes: Use Cases provides a medium of exchange of expertise and addresses the concerns, needs, and problems associated with Type I and Type II diabetes. Expert contributions come from researchers across biomedical, data mining, and deep learning. This is an essential resource for both the AI and Biomedical research community, crossing various sectors for broad coverage of the concepts, themes, and instrumentalities of this important and evolving area. Coverage includes IoT, AI, Deep Learning, Machine Learning and Big Data Analytics for diabetes and health informatics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Etat : New.

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

Etat : As New. Unread book in perfect condition.

Etat : New.