Published by I.K. International Publishing House Pvt. Ltd., 2010
ISBN 10: 9380578482 ISBN 13: 9789380578484
Language: English
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. pp. xvi + 496 Illus.
Soft cover. Condition: New. ISBN:9789389633986,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.
Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
Condition: New. Brand New, Softcover edition. This item may ship from the US or our Overseas warehouse depending on your location and stock availability.
Published by I.K. International, 2010
Seller: Vedams eBooks (P) Ltd, New Delhi, India
pbk. Contents 1 Theory of Sets 2 Relations 3 Functions 4 Propositional Logic 5 Techniques of Proof 6 Poset and Lattices 7 Groups 8 Semigroup and Monoid 9 Boolean Algebra 10 Combinatorics 11 Discrete Numeric Functions Generating Functions and Recurrence Relations 12 Basic Concepts of Graph Theory 13 Trees 14 Planar Graphs and Colouring IndexAdvance discrete structure is a compulsory paper in most of computing programs MTech MCA MSc BTech BCA B Sc etc This book has been written to fulfill the requirements of graduate and post-graduate students pursuing courses in mathematics as well as in computer engineering This book covers the topics from Sets Relations Functions Propositional logic Techniques of proof Lattice Algebraic structures Boolean algebra Combinatorics Discrete numeric function generating function and recurrence relation and Graph theory In this book each chapter starts with a clear statement of pertinent definitions principles and theorems with illustrative and descriptive material A large number of solved examples help to illustrate and amplify the material and also include proof of the theorems 512 pp.
Seller: UK BOOKS STORE, London, LONDO, United Kingdom
Paperback. Condition: New. 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 7-10 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.
Seller: Best Price, Torrance, CA, U.S.A.
Condition: New. SUPER FAST SHIPPING.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 1st edition NO-PA16APR2015-KAP.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In.
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 448 pages. 9.19x6.13x9.21 inches. In Stock.
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032742143 ISBN 13: 9781032742144
Language: English
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. The book highlights how technologies including artificial intelligence and machine learning are transforming renewable energy technologies and enabling the development of new solutions. It further discusses how smart technologies are employed to optimize energy production and storage, enhance energy efficiency, and improve the overall sustainability of energy systems.This book:Discusses artificial intelligence-based techniques, namely, neural networks, fuzzy expert systems, optimization techniques, and operational researchShowcases the importance of artificial intelligence and machine learning in the energy market, demand analysis, and forecasting of renewable energy applicationsIllustrates strategies for sustainable development using artificial intelligence and machine learning applicationsPresents applications of artificial intelligence in the domain of electronics transformation and development, smart cities, and renewable energy utilizationHighlights the role of artificial intelligence in solving problems such as image and signal processing, smart weather monitoring, smart farming, and distributed energy sourcesIt is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical, electronics and communications, energy, and environmental engineering. The book highlights how technologies including artificial intelligence and machine learning are transforming renewable energy technologies and enabling the development of new solutions. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032742143 ISBN 13: 9781032742144
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
Hardcover. Condition: new. Hardcover. The book highlights how technologies including artificial intelligence and machine learning are transforming renewable energy technologies and enabling the development of new solutions. It further discusses how smart technologies are employed to optimize energy production and storage, enhance energy efficiency, and improve the overall sustainability of energy systems.This book:Discusses artificial intelligence-based techniques, namely, neural networks, fuzzy expert systems, optimization techniques, and operational researchShowcases the importance of artificial intelligence and machine learning in the energy market, demand analysis, and forecasting of renewable energy applicationsIllustrates strategies for sustainable development using artificial intelligence and machine learning applicationsPresents applications of artificial intelligence in the domain of electronics transformation and development, smart cities, and renewable energy utilizationHighlights the role of artificial intelligence in solving problems such as image and signal processing, smart weather monitoring, smart farming, and distributed energy sourcesIt is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical, electronics and communications, energy, and environmental engineering. The book highlights how technologies including artificial intelligence and machine learning are transforming renewable energy technologies and enabling the development of new solutions. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032742143 ISBN 13: 9781032742144
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
Hardcover. Condition: new. Hardcover. The book highlights how technologies including artificial intelligence and machine learning are transforming renewable energy technologies and enabling the development of new solutions. It further discusses how smart technologies are employed to optimize energy production and storage, enhance energy efficiency, and improve the overall sustainability of energy systems.This book:Discusses artificial intelligence-based techniques, namely, neural networks, fuzzy expert systems, optimization techniques, and operational researchShowcases the importance of artificial intelligence and machine learning in the energy market, demand analysis, and forecasting of renewable energy applicationsIllustrates strategies for sustainable development using artificial intelligence and machine learning applicationsPresents applications of artificial intelligence in the domain of electronics transformation and development, smart cities, and renewable energy utilizationHighlights the role of artificial intelligence in solving problems such as image and signal processing, smart weather monitoring, smart farming, and distributed energy sourcesIt is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical, electronics and communications, energy, and environmental engineering. The book highlights how technologies including artificial intelligence and machine learning are transforming renewable energy technologies and enabling the development of new solutions. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Seller: preigu, Osnabrück, Germany
Buch. Condition: Neu. Artificial Intelligence and Machine Learning Applications for Sustainable Development | A. J. Singh (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2025 | CRC Press | EAN 9781032742144 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book highlights how technologies including artificial intelligence and machine learning are transforming renewable energy technologies and enabling the development of new solutions.