Kumar s dinesh (139 Ergebnisse)

Zustand: New. pp. 294.

Zustand: New. pp. 294.

Hardcover. Zustand: New. Zustand des Schutzumschlags: New. 1st Edition. Contents: Foreword. Preface. 1. Chronology. 2. Cytogenetics. 3. Genetics. 4. Plant breeding. 5. Plant classification. 6. Botanical description. 7. Economic field crops. 8. Plant hormones. 9. Gene gene expression and regulation. 10. Genome and genomic organization. 11. Stress and quality breeding. 12. Seed science and technology. Glossary of technical terms. Suggested books for further study. …

Zustand: New. pp. 351 Illus., Maps.

Zustand: New. pp. 351.

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Contents Preface Foreword Acknowledgements 1 Weed 2 Weed Management 3 Integrated Weed Management 4 Absorption and Translocation Herbicides 5 Herbicide Selectivity 6 Herbicide-Resistant Crops 7 Management of Weedy Rice 8 Weed Management in Crops 9 Management of Problematic Weeds 10 TerminologyFrom the Preface Plants are very valuable assets of man without which he could not have survived on earth but some unwanted and undesirable plants interfere with the utilization of land and water resources and adversely affect the human welfare The concept of a weed is very subjective A Plant may be a weed to one person and a useful plant to another or a weed in one place but nor in another season 208 pp.…

xvi, 307 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Hardcover. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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Zustand: New. pp. 274 Illus. (Col.), Maps (Col.).

Paperback. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Zustand: New.

Zustand: New. pp. 274.

Paperback. Zustand: New. This reference text discusses various security techniques and challenges for cloud data protection from both software and hardware aspects.The text provides readers with an overview of cloud computing, beginning with historical perspectives on mainframe computers and early networking protocols, moving to current issues such as security of hardware and networks, performance, evolving IoT areas, edge computing, etc. It also deals with threat detection and incident response in cloud security. It covers important topics including operational security agitations in cloud computing, cyber artificial intelligence (AI) platform for cloud security, and security concerns of virtualization in cloud computing.The book will serve as a useful resource for graduate students and professionals in the fields of electrical engineering, electronics engineering, computer science, and information technology.…

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Zustand: As New. Unread book in perfect condition.

Zustand: New.

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Zustand: New.

Zustand: New.

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Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

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Paperback. Zustand: New. Biomedical engineering is undergoing a transformation because of AI, which is allowing creative solutions that enhance patient outcomes, diagnosis, treatment planning, and healthcare delivery. Artificial Intelligence and Cloud Computing Applications in Biomedical Engineering examines the salient characteristics of AI in biomedical engineering, highlighting its practical applications and new directions. Highlights of the book include:Genome sequence and visualizationThe role of AI and cloud in detection of diseasesNature-inspired algorithms for disease detectionFrameworks for disease classificationWith a focus on designing AI techniques for disease detection, the book explores the role of AI in biomedical engineering. It discusses how machine learning (ML) and deep learning (DL) are at the heart of AI applications in biomedical engineering. ML algorithms, particularly those based on neural networks, enable computers to learn from large datasets, identify patterns, and make predictions or decisions without explicit programming, and implementing ML algorithms is a focus of the book. Another focus is on DL, a subset of ML, and how it uses multi-layered neural networks to achieve high accuracy in such complex tasks as image and speech recognition. Biomedical engineering generates massive amounts of data from medical imaging, genomic sequencing, wearable devices, electronic health records (EHR), and other sources. This book also discusses AI-driven big data analytics, which allows researchers and clinicians to derive from data meaningful insights, aiding in early disease detection, personalized treatment plans, and patient monitoring.…