Abiyev Rahib (77 results)

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Hardcover. Condition: new. Hardcover. This book is designed to provide rich research hub for researchers, teachers, and students to ease research hassle/challenges. The book is rich and comprehensive enough to provide answers to frequently asked research questions because the content of the book touches several disciplines cutting across computing, engineering, medicine, education, and sciences in general. The rich multidisciplinary contents of the book promise to leave all users satisfied. The valuable features in the book include but not limited to: demonstration of mathematical expressions for implementation of machine learning models, integration of learning techniques, and projection of future AI and IoT technologies. These technologies will enable systems to be simulative, predictive, and self-operating smart systems. The primary audience of the book include but not limited to researchers, teachers, and postgraduate and undergraduate students in computing, engineering, medicine, education, and science fields. This book is designed to provide rich research hub for researchers, teachers, and students to ease research hassle/challenges. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Hardcover. Condition: Brand New. 289 pages. 9.25x6.10x0.83 inches. In Stock.

Condition: New. Depicts the challenges and understanding of role of technology in the fields of machine learning and IoT for teachingFocuses on the design and implementation of algorithmic applications in AI and IoT with pertinent applicationsShowcases rec.

Taschenbuch. Condition: Neu. Machine Learning and the Internet of Things in Education | Models and Applications | John Bush Idoko (u. a.) | Taschenbuch | ix | Englisch | 2024 | Springer | EAN 9783031429262 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is designed to provide rich research hub for researchers, teachers, and students to ease research hassle/challenges.The book is rich and comprehensive enough to provide answers to frequently asked research questions because the content of the book touches several disciplines cutting across computing, engineering, medicine, education, and sciences in general. The rich multidisciplinary contents of the book promise to leave all users satisfied. The valuable features in the book include but not limited to: demonstration of mathematical expressions for implementation of machine learning models, integration of learning techniques, and projection of future AI and IoT technologies. These technologies will enable systems to be simulative, predictive, and self-operating smart systems. The primary audience of the book include but not limited to researchers, teachers, and postgraduate and undergraduate students in computing, engineering, medicine, education, and science fields.…

Condition: Hervorragend. Zustand: Hervorragend | Seiten: 292 | Sprache: Englisch | Produktart: Bücher | This book is designed to provide rich research hub for researchers, teachers, and students to ease research hassle/challenges. The book is rich and comprehensive enough to provide answers to frequently asked research questions because the content of the book touches several disciplines cutting across computing, engineering, medicine, education, and sciences in general. The rich multidisciplinary contents of the book promise to leave all users satisfied. The valuable features in the book include but not limited to: demonstration of mathematical expressions for implementation of machine learning models, integration of learning techniques, and projection of future AI and IoT technologies. These technologies will enable systems to be simulative, predictive, and self-operating smart systems. The primary audience of the book include but not limited to researchers, teachers, and postgraduate and undergraduate students in computing, engineering, medicine, education, and science fields.…

Condition: New. 2023rd edition NO-PA16APR2015-KAP.

Condition: Hervorragend. Zustand: Hervorragend | Seiten: 292 | Sprache: Englisch | Produktart: Bücher | This book is designed to provide rich research hub for researchers, teachers, and students to ease research hassle/challenges. The book is rich and comprehensive enough to provide answers to frequently asked research questions because the content of the book touches several disciplines cutting across computing, engineering, medicine, education, and sciences in general. The rich multidisciplinary contents of the book promise to leave all users satisfied. The valuable features in the book include but not limited to: demonstration of mathematical expressions for implementation of machine learning models, integration of learning techniques, and projection of future AI and IoT technologies. These technologies will enable systems to be simulative, predictive, and self-operating smart systems. The primary audience of the book include but not limited to researchers, teachers, and postgraduate and undergraduate students in computing, engineering, medicine, education, and science fields.…

Condition: New. pp. 292.

Hardcover. Condition: Brand New. 289 pages. 9.25x6.10x0.83 inches. In Stock.

Hardback. Condition: New. 2023 ed. This book is designed to provide rich research hub for researchers, teachers, and students to ease research hassle/challenges. The book is rich and comprehensive enough to provide answers to frequently asked research questions because the content of the book touches several disciplines cutting across computing, engineering, medicine, education, and sciences in general. The rich multidisciplinary contents of the book promise to leave all users satisfied. The valuable features in the book include but not limited to: demonstration of mathematical expressions for implementation of machine learning models, integration of learning techniques, and projection of future AI and IoT technologies. These technologies will enable systems to be simulative, predictive, and self-operating smart systems. The primary audience of the book include but not limited to researchers, teachers, and postgraduate and undergraduate students in computing, engineering, medicine, education, and science fields.…

Softcover. Condition: gut. 2024. Machine Learning and the Internet of Things in Education In deutscher Sprache. pages.

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Softcover/Taschenbuch. Condition: Neu. Cet ouvrage vise ? d?velopper un syst?me intelligent d'identification du cancer du sein (ICBIS) bas? sur des techniques de traitement d'images et un classificateur ? r?seau neuronal. R?cemment, de nombreux chercheurs ont d?velopp? des syst?mes de reconnaissance d'images permettant de classer les tumeurs du cancer du sein ? l'aide de diff?rentes techniques de traitement et de classification d'images. Le d?fi consiste ? extraire les caract?ristiques r?elles qui distinguent les tumeurs b?nignes des tumeurs malignes. La classification des images du cancer du sein a ?t? r?alis?e ? partir des caract?ristiques de forme et de texture des images. L'asym?trie, la rondeur, les niveaux d'intensit? et d'autres caract?ristiques sont pr?cis?ment les caract?ristiques de forme et de texture qui distinguent les deux types de tumeurs du sein. Des techniques de traitement d'images sont utilis?es afin de d?tecter la tumeur et d'extraire la r?gion d'int?r?t de la mammographie. Les op?rations de traitement des donn?es suivantes ont ?t? effectu?es pour la d?tection des images: seuillage, filtrage et ajustements, d?tection des contours Canny et certaines op?rations morphologiques. Les caract?ristiques de forme et de texture sont ensuite extraites ? l'aide de l'algorithme GLCM (Gray-Level Co-Occurrence Matrix) afin de classer avec pr?cision les mammographies en tumeurs normales, b?nignes et malignes. Sprache: Französisch Gewicht in Gramm: 113.…

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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.