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Hardcover. This book has been in storage since publication and is unread. A couple of light marks to cover. Synopsis: The applications 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 behaviour 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: Software Reliability, Quality, Vulnerability, Optimization, Technology Management and Innovation. This book will be a useful resource for academics, researchers and engineers.

Hardcover. Zustand: 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).

Zustand: New.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In.

Zustand: New. In.

Zustand: NEW.

Taschenbuch. Zustand: Neu. Strategic System Assurance and Business Analytics | P. K. Kapur (u. a.) | Taschenbuch | Asset Analytics | xix | Englisch | 2021 | Springer | EAN 9789811536496 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Zustand: New. InhaltsverzeichnisPart 1: AI and Machine Learning 1. Artificial Intelligence 2. Machine Learning 3. Regression Analysis 4. Bayesian Statistics 5. Learning Theory 6. Supervised Learning 7. Unsupervised Learning 8. Reinforcement .

Zustand: New.

Zustand: New. In.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book systematically examines and quantifies industrial problems by assessing the complexity and safety of large systems. It includes chapters on system performance management, software reliability assessment, testing, quality management, analysis using soft computing techniques, management analytics,and business analytics, with a clear focus on exploring real-world business issues. Through contributions from researchers working in the area of performance, management,and business analytics, it exploresthedevelopment of new methods and approaches to improve business by gaining knowledge from bulk data. With system performance analytics, companies are now able to drive performanceand provide actionable insights for each level and for every role using key indicators, generate mobile-enabled scorecards,time series-basedanalysis using charts, and dashboards.In the current dynamic environment, a viable tool known as multi-criteria decision analysis (MCDA) is increasingly being adopted to deal with complex business decisions. MCDA is an important decision support tool for analyzing goals and providing optimal solutions and alternatives. It comprises several distinct techniques, which are implemented by specialized decision-making packages. This book addresses a number of important MCDA methods, such as DEMATEL, TOPSIS, AHP, MAUT,andIntuitionistic Fuzzy MCDM, which make it possible to derive maximum utility in the area of analytics. As such, it is a valuable resource for researchers and academicians, as well as practitioners and business experts.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book systematically examines and quantifies industrial problems by assessing the complexity and safety of large systems. It includes chapters on system performance management, software reliability assessment, testing, quality management, analysis using soft computing techniques, management analytics,and business analytics, with a clear focus on exploring real-world business issues. Through contributions from researchers working in the area of performance, management,and business analytics, it exploresthedevelopment of new methods and approaches to improve business by gaining knowledge from bulk data. With system performance analytics, companies are now able to drive performanceand provide actionable insights for each level and for every role using key indicators, generate mobile-enabled scorecards,time series-basedanalysis using charts, and dashboards.In the current dynamic environment, a viable tool known as multi-criteria decision analysis (MCDA) is increasingly being adopted to deal with complex business decisions. MCDA is an important decision support tool for analyzing goals and providing optimal solutions and alternatives. It comprises several distinct techniques, which are implemented by specialized decision-making packages. This book addresses a number of important MCDA methods, such as DEMATEL, TOPSIS, AHP, MAUT,andIntuitionistic Fuzzy MCDM, which make it possible to derive maximum utility in the area of analytics. As such, it is a valuable resource for researchers and academicians, as well as practitioners and business experts.

Taschenbuch. Zustand: Neu. Neuware - 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.

Paperback. Zustand: Brand New. 621 pages. 9.25x6.10x1.26 inches. In Stock.

Taschenbuch. Zustand: Neu. Artificial Intelligence and Machine Learning for EDGE Computing | Rajiv Pandey (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | Elsevier Science | EAN 9780128240540 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Hardcover. Zustand: Brand New. 621 pages. 9.25x6.10x1.31 inches. In Stock.

Hardcover. Zustand: Brand New. 440 pages. 9.18x6.12x9.21 inches. In Stock.