Predictive Analytics
portes grátis
Predictive Analytics
Modeling and Optimization
Kumar, Vijay; Ram, Mangey
Taylor & Francis Ltd
10/2024
274
Mole
9780367537487
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Chapter 1 Role of MCDM in Software Reliability Engineering Chapter 2 Fault Tree Analysis of a Computerized Numerical Control Turning Center Chapter 3 How to Schedule Elective Patients in Hospitals to Gain Full Utilization of Resources and Eliminate Patient Overcrowding Chapter 4 Reducing the Deterioration Rate of Inventory through Preservation Technology Investment under Fuzzy and Cloud Fuzzy Environment Chapter 5 Image Formation Using Deep Convolutional Generative Adversarial Networks Chapter 6 Optimal Preservation Technology Investment and Price for the Deteriorating Inventory Model with Price-Sensitivity Stock- Dependent Demand Chapter 7 EOQ with Shortages and Learning Effect Chapter 8 Optimal Production-Inventory Policies for Processed Fruit Juices Manufacturer and Multi-retailers with Trended Demand and Quality Degradation Chapter 9 Information Visualization: Perception and Limitations for Data-Driven Designs Chapter 10 IoT, Big Data, and Analytics - Challenges and Opportunities Chapter 11 Multiple-Criteria Decision Analysis Using VLSI Global Routing Chapter 12 Application of IoT in Water Supply Management Chapter 13 A Hybrid Approach for Video Indexing Using Computer Vision and Speech Recognition Chapter 14 Statistical Methodology for Software Reliability with Environmental Factors Chapter 15 Maintenance Data-Trends Based Reliability Availability and Maintainability (RAM) Assessment of a Steam Boiler
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Economic Ordered Quantity;Patient Overcrowding;Reliability engineering;Preservation Technology Investment;Predictive analytics;Cycle Time;Cloud fuzzy environment;Partial Backlogging;Supply chain management;IoT Device;Artificial intelligence;IoT System;Software Reliability;Stock Dependent Demand;Big Data;Cluster III;Inventory Parameters;Deterioration Rate;Quadratic Demand;IoT Data;IWO Algorithm;Wire Length Minimization;Big IoT Data;Membership Function;Big Data Visualization;Price Sensitive Parameter;IWO;Optimal Cycle Length;Minimal Cut Sets;Stock Dependent Demand Rate;computerized numerical control turning center;deep convolutional generative adversarial networks;elective patients;fault tree analysis;hospitals;information visualization;Internet of Things;multiple-criteria decision making;optimal preservation technology investment;optimal production-inventory policies;reliability availability and maintainability;software reliability engineering;statistical methodology;video indexing;water supply management
Chapter 1 Role of MCDM in Software Reliability Engineering Chapter 2 Fault Tree Analysis of a Computerized Numerical Control Turning Center Chapter 3 How to Schedule Elective Patients in Hospitals to Gain Full Utilization of Resources and Eliminate Patient Overcrowding Chapter 4 Reducing the Deterioration Rate of Inventory through Preservation Technology Investment under Fuzzy and Cloud Fuzzy Environment Chapter 5 Image Formation Using Deep Convolutional Generative Adversarial Networks Chapter 6 Optimal Preservation Technology Investment and Price for the Deteriorating Inventory Model with Price-Sensitivity Stock- Dependent Demand Chapter 7 EOQ with Shortages and Learning Effect Chapter 8 Optimal Production-Inventory Policies for Processed Fruit Juices Manufacturer and Multi-retailers with Trended Demand and Quality Degradation Chapter 9 Information Visualization: Perception and Limitations for Data-Driven Designs Chapter 10 IoT, Big Data, and Analytics - Challenges and Opportunities Chapter 11 Multiple-Criteria Decision Analysis Using VLSI Global Routing Chapter 12 Application of IoT in Water Supply Management Chapter 13 A Hybrid Approach for Video Indexing Using Computer Vision and Speech Recognition Chapter 14 Statistical Methodology for Software Reliability with Environmental Factors Chapter 15 Maintenance Data-Trends Based Reliability Availability and Maintainability (RAM) Assessment of a Steam Boiler
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Economic Ordered Quantity;Patient Overcrowding;Reliability engineering;Preservation Technology Investment;Predictive analytics;Cycle Time;Cloud fuzzy environment;Partial Backlogging;Supply chain management;IoT Device;Artificial intelligence;IoT System;Software Reliability;Stock Dependent Demand;Big Data;Cluster III;Inventory Parameters;Deterioration Rate;Quadratic Demand;IoT Data;IWO Algorithm;Wire Length Minimization;Big IoT Data;Membership Function;Big Data Visualization;Price Sensitive Parameter;IWO;Optimal Cycle Length;Minimal Cut Sets;Stock Dependent Demand Rate;computerized numerical control turning center;deep convolutional generative adversarial networks;elective patients;fault tree analysis;hospitals;information visualization;Internet of Things;multiple-criteria decision making;optimal preservation technology investment;optimal production-inventory policies;reliability availability and maintainability;software reliability engineering;statistical methodology;video indexing;water supply management
