Machine Learning for Sustainable Manufacturing in Industry 4.0
portes grátis
Machine Learning for Sustainable Manufacturing in Industry 4.0
Concept, Concerns and Applications
Singh Khangura, Sehijpal; Kumar, Raman; Rani, Sita
Taylor & Francis Ltd
11/2023
234
Dura
Inglês
9781032393056
15 a 20 dias
Descrição não disponível.
Chapter 1
Machine Learning and Sustainable Manufacturing: Introduction, Framework and Challenges
Chapter 2
Applications of Artificial Intelligence Across Industry 4.0
Chapter 3
ML Techniques for Analyzing Security Threats and Enhancing Sustainability in Medical Field based on Industry 4.0
Chapter 4
Role of Machine Learning in Cyber-Physical Systems to Improve Manufacturing Processes
Chapter 5
Environmental Impact of Operations and Supply Chain from Fourth Industrial Revolution and Machine Learning Approaches
Chapter 6
Machine Learning for Resource Optimization in Industry 4.0 Eco-system
Chapter 7
Applications of Machine Learning in Smart Factory in 4th Generation Industrial Environment
Chapter 8
Role of Machine Learning in Industry 4.0 Applications: A Review
Chapter 9
Supervised Learning Assisted Models for the Manufacturing of Sustainable Composites
Chapter 10
Explainable Machine Learning Model for Industrial 4.0
Chapter 11
Applications of Machine Learning in the Manufacturing Sector: Concept, Framework
Machine Learning and Sustainable Manufacturing: Introduction, Framework and Challenges
Chapter 2
Applications of Artificial Intelligence Across Industry 4.0
Chapter 3
ML Techniques for Analyzing Security Threats and Enhancing Sustainability in Medical Field based on Industry 4.0
Chapter 4
Role of Machine Learning in Cyber-Physical Systems to Improve Manufacturing Processes
Chapter 5
Environmental Impact of Operations and Supply Chain from Fourth Industrial Revolution and Machine Learning Approaches
Chapter 6
Machine Learning for Resource Optimization in Industry 4.0 Eco-system
Chapter 7
Applications of Machine Learning in Smart Factory in 4th Generation Industrial Environment
Chapter 8
Role of Machine Learning in Industry 4.0 Applications: A Review
Chapter 9
Supervised Learning Assisted Models for the Manufacturing of Sustainable Composites
Chapter 10
Explainable Machine Learning Model for Industrial 4.0
Chapter 11
Applications of Machine Learning in the Manufacturing Sector: Concept, Framework
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
explainable AI models;cyber-physical systems;industrial data analysis;fault detection techniques;inventory optimization;Latent Dirichlet Allocation;environmental impact assessment;machine learning for manufacturing processes;Unsupervised Machine Learning;Machine Learning Algorithms;Cps;Ml Model;Fourth Industrial Revolution;Smart Factories;Predictive Maintenance;Semi-supervised Learning;Optimize Production Processes;Digital Twin;Ml Technique;Supervise Ml;Ml Approach;Ml Algorithm;Support Vector Machines;Ml Framework;STI Policy;Production Scheduling;Resource Optimization;Unlabeled Data;Govern Network Security;Reduce Privacy Concerns;Unsupervised Learning;Fog Computing
Chapter 1
Machine Learning and Sustainable Manufacturing: Introduction, Framework and Challenges
Chapter 2
Applications of Artificial Intelligence Across Industry 4.0
Chapter 3
ML Techniques for Analyzing Security Threats and Enhancing Sustainability in Medical Field based on Industry 4.0
Chapter 4
Role of Machine Learning in Cyber-Physical Systems to Improve Manufacturing Processes
Chapter 5
Environmental Impact of Operations and Supply Chain from Fourth Industrial Revolution and Machine Learning Approaches
Chapter 6
Machine Learning for Resource Optimization in Industry 4.0 Eco-system
Chapter 7
Applications of Machine Learning in Smart Factory in 4th Generation Industrial Environment
Chapter 8
Role of Machine Learning in Industry 4.0 Applications: A Review
Chapter 9
Supervised Learning Assisted Models for the Manufacturing of Sustainable Composites
Chapter 10
Explainable Machine Learning Model for Industrial 4.0
Chapter 11
Applications of Machine Learning in the Manufacturing Sector: Concept, Framework
Machine Learning and Sustainable Manufacturing: Introduction, Framework and Challenges
Chapter 2
Applications of Artificial Intelligence Across Industry 4.0
Chapter 3
ML Techniques for Analyzing Security Threats and Enhancing Sustainability in Medical Field based on Industry 4.0
Chapter 4
Role of Machine Learning in Cyber-Physical Systems to Improve Manufacturing Processes
Chapter 5
Environmental Impact of Operations and Supply Chain from Fourth Industrial Revolution and Machine Learning Approaches
Chapter 6
Machine Learning for Resource Optimization in Industry 4.0 Eco-system
Chapter 7
Applications of Machine Learning in Smart Factory in 4th Generation Industrial Environment
Chapter 8
Role of Machine Learning in Industry 4.0 Applications: A Review
Chapter 9
Supervised Learning Assisted Models for the Manufacturing of Sustainable Composites
Chapter 10
Explainable Machine Learning Model for Industrial 4.0
Chapter 11
Applications of Machine Learning in the Manufacturing Sector: Concept, Framework
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
explainable AI models;cyber-physical systems;industrial data analysis;fault detection techniques;inventory optimization;Latent Dirichlet Allocation;environmental impact assessment;machine learning for manufacturing processes;Unsupervised Machine Learning;Machine Learning Algorithms;Cps;Ml Model;Fourth Industrial Revolution;Smart Factories;Predictive Maintenance;Semi-supervised Learning;Optimize Production Processes;Digital Twin;Ml Technique;Supervise Ml;Ml Approach;Ml Algorithm;Support Vector Machines;Ml Framework;STI Policy;Production Scheduling;Resource Optimization;Unlabeled Data;Govern Network Security;Reduce Privacy Concerns;Unsupervised Learning;Fog Computing
