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Quality, Reliability, Infocom Technology and Industrial Technology Management
Language: English
Published by IK International Publishing House, 2015
ISBN 10: 9384588571 ISBN 13: 9789384588571
US$ 26.78
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Add to basketHardcover. Condition: As New. This book has been in storage since publication and is unread. Hence the description as new .
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Quality, Reliability, Infocom Technology And Industrial Technology Management
Language: English
Published by I K International, New Delhi, 2015
ISBN 10: 9384588571 ISBN 13: 9789384588571
N.A. Condition: New. ISBN:9789384588571.
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Hardcover. Condition: New. 1st Edition. Contents: 1. Technology Management Through Intellectual Property Rights. 2. Two Practical Software Reliability Growth Models for Software Project Management. 3. Management of Technology and Innovation for Nation Building. 4. Even, Inventors Require Help. 5. Quality Beyond "Product and Service" Delivery. 6. Vulnerability Discovery Modeling. 7. Chance Constrained Redundancy Allocation Problem with Imprecise Component Reliabilities via Genetic Algorithm: A Simulation Based Approach. 8. Life Estimation of Electronic Sub-assembly by MultipleAccelerated Life Tests. 9. Technology Management in Segmented Markets. 10. Partition Algorithm for Frequent Pattern Mining Using TwoColumns Atomic Data Layout. 11. A Production Model with Variable Holding Cost, Backloggingand In?ation Under Fuzzy Environment. 12. Location Based Authentication Using Node's Coordinates. 13. Uni?cation Schemes in Software Reliability: A State of Art. 14. Life Estimation of Electronic Sub-assembly by Multiple Accelerated Life Tests. 15. Simultaneous Consideration of Time & Price for Adoption of Consumer Durables. 16. Green Six Sigma for Sustainable Business Practices. 17. Introducing Path Selection Algorithm in Reliability Analysis of Component Based Software System . 18. A Study of S-shaped Software Reliability Growth Modeling with Testing Effort. 19. Bass Model Incorporating Change in the Adoption Rate: A Study in Discrete Environment. 20. Reliability Estimation of Shutdown System Considering Common Cause Failures. 21. Retailer's Optimal Ordering Policies for Deterioration Items Under Trade Credit Policy in a Supply Chain System. 22. Genetic Algorithm Based Approach For Unbalanced Assignment Problem. 23. Managing Launch Time of Successive Industrial Technologies. 24. Dissimilarity Measures for Re?nement of Clusters Based on Page Access, Time and Session Weight. 25. Multi Criteria Based Launch of a New Product. 26. Design Optimization of Post-core Restored Endodontically Treated Human Teeth Using Finite Element Method and Taguchi Methods. 27. Testing-Domain Based SRGM for Distributed Environment Incorporating Two Types of Imperfect Debugging. This book is intended to serve as a textbook of applied physics/Physics paper of the undergraduate students of B.E., B.Tech and Application of computer software has crossed into many different fields, with software being an essential part of industrial, commercial and military systems. Because of its many applications in safety critical systems, software reliability is now an important research area. Software vulnerability can be seen as a flaw or weakness in the system that can be exploited by an attacker in order to alter the normal behavior of the system. Vulnerability management is the cyclical practice of identifying, classifying, remediating, and mitigating vulnerabilities. Industrial Technology Management is the use of engineering and manufacturing technology to make production faster, simpler and more efficient. The industrial technology field employs creative and technically proficient individuals who can help a company achieve efficient and profitable productivity. Papers in this book are classified into six main areas, namely, Software Reliability, Quality, Vulnerability, Optimization, Technology Management and Innovation. (jackets).
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Condition: New.
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Artificial Intelligence and Machine Learning for EDGE Computing
Language: English
Published by Elsevier Science Publishing Co Inc, 2022
ISBN 10: 0128240547 ISBN 13: 9780128240540
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 198.51
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Artificial Intelligence and Machine Learning for Edge Computing
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Artificial Intelligence and Machine Learning for EDGE Computing
Language: English
Published by Academic Press 2022-04-26, 2022
ISBN 10: 0128240547 ISBN 13: 9780128240540
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Artificial Intelligence and Machine Learning for EDGE Computing
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Strategic System Assurance and Business Analytics (Asset Analytics)
Book 11 of 15: Asset AnalyticsSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Strategic System Assurance and Business Analytics (Asset Analytics)
Book 11 of 15: Asset AnalyticsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 217.46
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Artificial Intelligence and Machine Learning for EDGE Computing
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: As New. Unread book in perfect condition.
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Artificial Intelligence and Machine Learning for EDGE Computing (Paperback)
Language: English
Published by Elsevier Science Publishing Co Inc, San Diego, 2022
ISBN 10: 0128240547 ISBN 13: 9780128240540
Paperback. Condition: new. Paperback. Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing paradigms.Challenges covered include remote storage and computing, bandwidth overload due to transportation of data from End nodes to Cloud leading in latency issues, security issues in transporting sensitive medical and financial information across larger gaps in points of data generation and computing, as well as design features of Edge nodes to store and run AI/ML algorithms for effective rendering. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Artificial Intelligence and Machine Learning for Edge Computing
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Artificial Intelligence and Machine Learning for EDGE Computing
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Condition: As New. Unread book in perfect condition.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Condition: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
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Artificial Intelligence and Machine Learning for EDGE Computing
Language: English
Published by Elsevier Science Publishing Co Inc, US, 2022
ISBN 10: 0128240547 ISBN 13: 9780128240540
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
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Add to basketPaperback. Condition: New. Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing paradigms. Challenges covered include remote storage and computing, bandwidth overload due to transportation of data from End nodes to Cloud leading in latency issues, security issues in transporting sensitive medical and financial information across larger gaps in points of data generation and computing, as well as design features of Edge nodes to store and run AI/ML algorithms for effective rendering.
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6g Communication Network : Architecture, Security and Applications
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