Predictive Analytics
portes grátis
Predictive Analytics
Modeling and Optimization
Ram, Mangey; Kumar, Vijay
Taylor & Francis Ltd
10/2024
274
Mole
9780367537487
15 a 20 dias
Descrição não disponível.
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
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
