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Pathak D R (62 results)
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Condition: New. pp. 492.
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Ecology of Fish Pond
Language: English
Published by Astral International (P) Ltd, 2018
ISBN 10: 817035739X ISBN 13: 9788170357391
Condition: New. pp. vii + 176.
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Condition: New. pp. 492.
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Condition: New. pp. x + 438.
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Condition: New.
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Condition: New. pp. 492.
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Condition: New. pp. 334.
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Condition: New.
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Education in the Emerging India
Language: English
Published by Atlantic Publishers & Distributors (P) Ltd., 2007
ISBN 10: 812690741X ISBN 13: 9788126907410
Hardcover. Condition: Brand New. 192 pages. 8.70x5.60x0.70 inches. In Stock.
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Hardcover. Condition: New. 2nd Edition. Contents Preface 1 Introduction 2 Physico-geographical features 3 Review of literature 4 Materials and methods 5 Parameters for assessing pond water quality 6 Discussion 7 Summary ReferencesThe present book Ecology of Fish Pond greatly emphasize on the aquatic ecology of pond ecosystem Pond ecosystem is of much importance s it is very useful for fish culture So this book could provide necessary information to the people involved in fish culture for making the sustainable use of water resourcesThe monthly fluctuation of different parameters is presented and discussed about their relation with plankton benthic fauna as well as ichthyofauna In addition to this the data given in this book is a documentation which should be of great help to the limnologist biologist environmentalist as well as students working in the filed or river water ecosystem 176 pp.
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Generative Adversarial Networks and Deep Learning
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Generative Adversarial Networks and Deep Learning : Theory and Applications
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Condition: New.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Generative Adversarial Networks and Deep Learning : Theory and Applications
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Condition: As New. Unread book in perfect condition.
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Environment Biodiversity and Traditional System
First Edition
Hardcover. Condition: New. Dust Jacket Condition: New. 1st Edition. Contents: Preface. 1. Rapid analysis of spatial a b and y diversities of birds in a landmosaic in Manipur/Rajkumari Ashalata Devi and Laishangbam Sanjit. 2. Diversity and status of lycaenids Lepidoptera: lycaenidae) in central Nepal/B. Khanal, M.K. Chalise and G.S. Solanki. 3. Wildlife and their behavior in Baghmara Buffer zone community forest, Nepal/B.K. Sharma, M.K. Chalise and G.S. Solanki. 4. Importance of biodiversity conservation and its role in management of diverse forest resource production with special reference to NEH region, India/Bandi Gopichand and Bandi Diddi Naidu. 5. Poetential benefits to biodiversity by using marine renewable energy/Guruswaamy. 6. Plants used in hair care by the ethnic communities in thoubal district of Manipur/Mohd. Habibullah Khan and P.S. Yadava. Conservation biology is concerned with phenomena that affect the maintenance, loss and restoration of biodiversity and the science of sustaining evolutionary processes that engender genetic population species and ecosystem diversity. The concern stems from estimates suggesting that up to 50% of all species on the planet will disappear within the next 50 years, which has contributed to poverty, starvation and will reset the course of evolution on this planet. The present book provides and introduction to the environment biodiversity and traditional system and is the compilation of various papers contributed by learned community from different part of the world.
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GENERATIVE ADVERSARIAL NETWORKS & DEE
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Condition: NEW.
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Generative Adversarial Networks and Deep Learning : Theory and Applications
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Generative Adversarial Networks and Deep Learning
Language: English
Published by Taylor and Francis Ltd, GB, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. This book's major goal is to concentrate on cutting-edge research in deep learning and generative adversarial networks, which includes creating new tools and methods for processing text, images, and audio.A Generative Adversarial Network (GAN) is a class of machine learning framework and is the next emerging network in deep learning applications. Generative Adversarial Networks(GANs) have the feasibility to build improved models, as they can generate the sample data as per application requirements. There are various applications of GAN in science and technology, including computer vision, security, multimedia and advertisements, image generation, image translation,text-to-images synthesis, video synthesis, generating high-resolution images, drug discovery, etc.Features:Presents a comprehensive guide on how to use GAN for images and videos.Includes case studies of Underwater Image Enhancement Using Generative Adversarial Network, Intrusion detection using GANHighlights the inclusion of gaming effects using deep learning methodsExamines the significant technological advancements in GAN and its real-world application.Discusses as GAN challenges and optimal solutionsThe book addresses scientific aspects for a wider audience such as junior and senior engineering, undergraduate and postgraduate students, researchers, and anyone interested in the trends development and opportunities in GAN and Deep Learning.The material in the book can serve as a reference in libraries, accreditation agencies, government agencies, and especially the academic institution of higher education intending to launch or reform their engineering curriculum.
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Generative Adversarial Networks and Deep Learning
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Condition: New. pages cm.
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Generative Adversarial Networks and Deep Learning: Theory and Applications
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
paperback. Condition: New.
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Generative Adversarial Networks and Deep Learning
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 63.64
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Water Biology
Language: English
Published by Discovery Publishing House, 2018
ISBN 10: 9350568888 ISBN 13: 9789350568880
First Edition
Hardcover. Condition: New. 1st Edition. This book water biology pertains to the aspects of the ecology of surface waters, including rivers and lakes, connected ground waters, flood plains and wetlands. It also focuses on the physico-chemical, biological and microbiological parameters of the water and wastewater. It helps to know about the quality and present status of water. It also deals with the structural and functional interrelationships of organisms of inland waters as they are affected by their dynamic physical, chemical, biotic environments and the impact of human activities on these systems. The book contains 29 chapters that are thoroughly reviewed by the authors and provides ample information on micro-organisms, algae, macrophytes, invertebrates, fish and other vertebrates, as well as those concerning whole systems and related physical and chemical aspects of the environment. Authors took much care in presenting the easiest way to understand the properties of water. The book will be of great help to the students of UG and PG, researchers, policy makers and stakeholders in the field of environment.
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Generative Adversarial Networks and Deep Learning : Theory and Applications
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Generative Adversarial Networks and Deep Learning: Theory and Applications
Language: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Generative Adversarial Networks and Deep Learning
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Condition: New. pages cm First edition Includes bibliographical references and index.
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Generative Adversarial Networks and Deep Learning: Theory and Applications
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
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Generative Adversarial Networks and Deep Learning
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Condition: New. pages cm.
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GENERATIVE ADVERSARIAL NETWORKS AND DEE
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Condition: NEW.
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Generative Adversarial Networks and Deep Learning: Theory and Applications
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Condition: New.
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Generative Adversarial Networks and Deep Learning: Theory and Applications
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Paperback. Condition: Brand New. 222 pages. 10.00x7.00x10.00 inches. In Stock.
