satya kumar prasad (36 risultati)

Condizione: New. pp. xx + 682.

Condizione: New. pp. xx + 682 Figure.

Condizione: New. pp. xx + 682.

Hardcover. Condizione: New. ISBN:9788176222389.

Hardcover. Condizione: New. 1st Edition. The book traces the links between nutrient, pesticide, and irrigation water use in agricultural production and the effects on water quality and pinpoints the most promising ways to improve both input management and water quality This publication seeks to contribute to exploring current issues in science, technology and innovation, with particular emphasis on their impact on developing countries. (jacket).

Paperback. Condizione: New. New. Ships from Multiple Locations. book.

Contents Vol I Preface 1 Allelopathy in action Utilization of parthenium hysterophorus an obnoxious weed in management of other weedsD Prasad and DB Saxena 2 Natural enemies of aproaerema modicella Deventer Gelechiidae Lepidoptera a reviewTV Prasad T Murali Krishna V Nandagopal and GV Ranga Rao 3 Applications of nanotechnology in plant protectionNishant Iyengar and S Anju Iyengar 4 Plant parasitic nematodes and their management in pulsesVirendra Kumar Singh 5 Entomopathogenic nematodes as bioinsecticideD Prasad 6 Plant growth regulators and nematodesPuja Ohri R Kaur SK Sohal and R Bhardwaj 7 Chemical hazards and nematicidesVarghese P Thomas and D Prasad 8 Bacterial antagnosts in biocontrol of plant parasitic nematodesSatyandra Singh and SC Dhawan 9 Nematode-Fusarium wilt disease complexHK Sharma and Satyandra Singh 10 Novel and new nematodes for the management of nematodeHK Sharma Pankaj and D Prasad 11 Rodent pests of agricultural importance and their eco-friendly management methods in Cauvery Delta Tamil NaduP Neelanarayanan 12 Major bacterial and fungi diseases of tomato in Uttar Pradesh IndiaRK Sahani 13 Root-knot disease of rice Oryza sativa L caused by Meloidogyne graminicola an emerging global concernMahendra Singh A Jain JS Gill and Jitendra Mohan 14 Root-knot nematode neloidogyne spp a reviewAnju Jain Mahendra Singh JS Gill and Jitendra Mohan 15 Microbial metabolites lead for future eco-friendly agrochemicalsGita Kulshrestha and Rajib Karmakar 16 Impact of environmental pollution on sustainable crop productionD Prasad 17 Ecology biology and control of exotic-invasive weeds in forestry management of gorse Ulex europaeus L on federal lands in Victoria British Columbia CanadaRaj Prasad 18 Environmental pollution by heavy metals lead and cadmium and its effectsMamta Sharma Reena Saxena S Anju Iyengar Sandeep Sharma and Nishant Iyengar 19 Food applications of lac dyeBangali Baboo and Sanjay Srivastava 20 Paradigm shift in the applications of lacS Srivastava Govind Pal and D Prasad 21 Potential of botanical pesticides in crop disease managementBijender Kumar Jameel Akhtar and D Prasad 22 Mode of action of botanicals and bioagentsD Prasad 23 Biopesticides from bioenergy sector the potential of petrocrop-Jatropha Jatropha curcasGK Mahapatro and Vishwa Nath 24 IPM technology opportunities adoption for increasing higher return in Chickpea productionGL Nigam 25 Insects friends of man and environmentRK Choudhary and MC Bhargava 26 Integrated insect pest management in major crops of Andhra PradeshK Manjula Vol II 27 Integrated management of diseases of ChickpeaSanjeev Kumar 28 Integrated disease management in Pigeonpea for ensuring food securitySanjeev Kumar 29 Potentiality of rhizobacteria to control soil borne bacterial diseasesDinesh Singh 30 Damage potential and management of thrips infesting cropsR Varatharajan O Dwijamani Singh and T James Keisa 31 Approaches for integrated disease management of onion and garlicRK Mishra KJ Srivastava and RP Gupta 32 Microbial toxins and their application as plant protectantsK Majumder and DP Ray 33 Fungicidal application for control of alternaria blight in ChickpeaVersha Misra 34 Management of colletotrichum blight of UrdbeanVersha Misra KC Srivastava and Neena Srivastava 35 Current status of sesamum and their disease managementSushma Nema and SK Tripathi 36 Trends in sustainable weed managementOzair Chaudhry and Rene Van Acker 37 The pumpkin beetle and its integrated management a reviewSK Mandal 38 Survey of mango fruit borer deanolis albizonalis Hmapson in Andhra Pradesh Orissa West Bengal Karnataka states and explorative research on management through IPMA Sujatha and MSV Chalam 39 Pest complex and their succession on maize with special reference to lepidopteran Insect pestsIshtiyaq Ahmad RM Bhagat Hafeez Ahmad Devinder Sharma and Saurav Gupta 40 Management strategies for phytonematodes associated with oilseed cropsD Prasad 41 Pests of jute and their managementT Ramasubramanian and S Sat.

Condizione: New.

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

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

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In.

Hardcover. Condizione: New.

Condizione: New. In.

Condizione: As New. Unread book in perfect condition.

Condizione: NEW.

Condizione: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

Hardback. Condizione: New. 2022 ed.

Condizione: New. This book presents how federated learning helps to understand and learn from user activity in Internet of Things (IoT) applications while protecting user privacy.This book presents how federated learning helps to understand and learn from user activity .

Taschenbuch. Condizione: Neu. Federated Learning for IoT Applications | Satya Prakash Yadav (u. a.) | Taschenbuch | viii | Englisch | 2023 | Springer | EAN 9783030855611 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Paperback. Condizione: Brand New. 265 pages. 9.25x6.10x9.21 inches. In Stock.

Buch. Condizione: Neu. Neuware -This book presents how federated learning helps to understand and learn from user activity in Internet of Things (IoT) applications while protecting user privacy. The authors first show how federated learning provides a unique way to build personalized models using data without intruding on users¿ privacy. The authors then provide a comprehensive survey of state-of-the-art research on federated learning, giving the reader a general overview of the field. The book also investigates how a personalized federated learning framework is needed in cloud-edge architecture as well as in wireless-edge architecture for intelligent IoT applications. To cope with the heterogeneity issues in IoT environments, the book investigates emerging personalized federated learning methods that are able to mitigate the negative effects caused by heterogeneities in different aspects. The book provides case studies of IoT based human activity recognition to demonstrate the effectiveness of personalized federatedlearning for intelligent IoT applications, as well as multiple controller design and system analysis tools including model predictive control, linear matrix inequalities, optimal control, etc. This unique and complete co-design framework will benefit researchers, graduate students and engineers in the fields of control theory and engineering.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 276 pp. Englisch.

Hardcover. Condizione: Brand New. 273 pages. 9.25x6.10x0.69 inches. In Stock.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents how federated learning helps to understand and learn from user activity in Internet of Things (IoT) applications while protecting user privacy. The authors first show how federated learning provides a unique way to build personalized models using data without intruding on users' privacy. The authors then provide a comprehensive survey of state-of-the-art research on federated learning, giving the reader a general overview of the field. The book also investigates how a personalized federated learning framework is needed in cloud-edge architecture as well as in wireless-edge architecture for intelligent IoT applications. To cope with the heterogeneity issues in IoT environments, the book investigates emerging personalized federated learning methods that are able to mitigate the negative effects caused by heterogeneities in different aspects. The book provides case studies of IoT based human activity recognition to demonstrate the effectiveness of personalized federatedlearning for intelligent IoT applications, as well as multiple controller design and system analysis tools including model predictive control, linear matrix inequalities, optimal control, etc. This unique and complete co-design framework will benefit researchers, graduate students and engineers in the fields of control theory and engineering.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents how federated learning helps to understand and learn from user activity in Internet of Things (IoT) applications while protecting user privacy. The authors first show how federated learning provides a unique way to build personalized models using data without intruding on users' privacy. The authors then provide a comprehensive survey of state-of-the-art research on federated learning, giving the reader a general overview of the field. The book also investigates how a personalized federated learning framework is needed in cloud-edge architecture as well as in wireless-edge architecture for intelligent IoT applications. To cope with the heterogeneity issues in IoT environments, the book investigates emerging personalized federated learning methods that are able to mitigate the negative effects caused by heterogeneities in different aspects. The book provides case studies of IoT based human activity recognition to demonstrate the effectiveness of personalized federatedlearning for intelligent IoT applications, as well as multiple controller design and system analysis tools including model predictive control, linear matrix inequalities, optimal control, etc. This unique and complete co-design framework will benefit researchers, graduate students and engineers in the fields of control theory and engineering.

Buch. Condizione: Neu. Federated Learning for IoT Applications | Satya Prakash Yadav (u. a.) | Buch | viii | Englisch | 2022 | Springer | EAN 9783030855581 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Hardback. Condizione: New. 2022 ed. This book presents how federated learning helps to understand and learn from user activity in Internet of Things (IoT) applications while protecting user privacy. The authors first show how federated learning provides a unique way to build personalized models using data without intruding on users' privacy. The authors then provide a comprehensive survey of state-of-the-art research on federated learning, giving the reader a general overview of the field. The book also investigates how a personalized federated learning framework is needed in cloud-edge architecture as well as in wireless-edge architecture for intelligent IoT applications. To cope with the heterogeneity issues in IoT environments, the book investigates emerging personalized federated learning methods that are able to mitigate the negative effects caused by heterogeneities in different aspects. The book provides case studies of IoT based human activity recognition to demonstrate the effectiveness of personalized federatedlearning for intelligent IoT applications, as well as multiple controller design and system analysis tools including model predictive control, linear matrix inequalities, optimal control, etc. This unique and complete co-design framework will benefit researchers, graduate students and engineers in the fields of control theory and engineering.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents how federated learning helps to understand and learn from user activity in Internet of Things (IoT) applications while protecting user privacy. The authors first show how federated learning provides a unique way to build personalized models using data without intruding on users' privacy. The authors then provide a comprehensive survey of state-of-the-art research on federated learning, giving the reader a general overview of the field. The book also investigates how a personalized federated learning framework is needed in cloud-edge architecture as well as in wireless-edge architecture for intelligent IoT applications. To cope with the heterogeneity issues in IoT environments, the book investigates emerging personalized federated learning methods that are able to mitigate the negative effects caused by heterogeneities in different aspects. The book provides case studies of IoT based human activity recognition to demonstrate the effectiveness of personalized federatedlearning for intelligent IoT applications, as well as multiple controller design and system analysis tools including model predictive control, linear matrix inequalities, optimal control, etc. This unique and complete co-design framework will benefit researchers, graduate students and engineers in the fields of control theory and engineering. 276 pp. Englisch.