Predictive analytics : modeling and optimization / edited by Vijay Kumar and Mangey Ram.
Material type:
TextSeries: Advanced research in reliability and system assurance engineeringPublisher: Boca Raton, Florida : CRC Press, Taylor & Francis Group, 2021Edition: First editionDescription: xiii, 274 pages ; 24 cmContent type: - text
- unmediated
- volume
- 9780367537463
- 003.2 P912 23
- TA340 .P726 2021
| Item type | Current library | Shelving location | Call number | Copy number | Status | Date due | Barcode | |
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Main Library-Nabua | Graduate School Library | GRD 003.2 P912 2021 (Browse shelf(Opens below)) | 1-1 | Available | 026272 |
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| GRD 001.422 K580n 2022 The numerate leader : how to pull game-changing insights from statistical data / | GRD 001.422 Sh612r 2019 Research methodology and statistical methods / | GRD 001.4226 M621l 2020 Learning Tableau 2020 : create effective data visualizations, build interactive visual analytics, and transform your organization / | GRD 003.2 P912 2021 Predictive analytics : modeling and optimization / | GRD 003.3 Sy877 2020 Systems simulation and modeling for cloud computing and big data applications / | GRD 004.21 D423s 2019 Systems analysis and design / | GRD 004.682 C293d 2019 Deploying Sharepoint 2019 : installing, configuring, and optimizing for on-premises and hybrid scenarios / |
Includes bibliographical references and index.
Role of MCDM in software reliability engineering -- Fault tree analysis of a computerized numerical control turning center -- How to schedule elective patients in hospitals to gain full utilization of resources and eliminate patient overcrowding -- Reducing the deterioration rate of inventory through preservation technology investment under fuzzy and cloud fuzzy environment -- Image formation using deep convolutional generative adversarial networks -- Optimal preservation technology investment and price for the deteriorating inventory model with the price-sensitivity stock-dependent demand -- EOQ with shortages and learning effect -- Optimal production-inventory policies for processed fruit juices manufacturer and multi-retailers with trended demand and quality degradation -- Information visualization: perception and limitations for data-driven designs -- IoT, big data, and analytics - challenges and opportunities -- Multiple-criteria decision analysis using VLSI global routing -- Application of IoT in water supply management -- A hybrid approach for video indexing using the computer vision and speech recognition -- Statistical methodology for software reliability with environmental factors -- Maintenance data-trends based reliability availability and maintainability (RAM) assessment of a steam boiler
"Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence. This book provides the most recent advances in the field along with case studies and real-world examples. It discusses predictive modeling and analytics in reliability engineering, introduces current achievements and applications of AI, data mining, and other techniques in supply chain management. It covers applications to reliability engineering practice, presents numerous examples to illustrate the theoretical results, and considers and analyses case studies and real-word examples. The book is written for researchers and practitioners in the field of system reliability, quality, supply chain management, and logistics management. Students taking courses in these areas will also find this book of interest"-- Provided by publisher.
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