AI-Driven IoT Systems for Industry 4.0
portes grátis
AI-Driven IoT Systems for Industry 4.0
Nanjundan, Preethi; Paul, Sanchita; Jose, Deepa; Mohanty, Sachi Nandan
Taylor & Francis Ltd
07/2024
402
Dura
9781032554150
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Chapter 1 A Novel Hybrid Approach Based on Attribute-Based Encryption for Secured Message Transmittal for Sustainably Smart Networks
Chapter 2 Object Detection Using Deep Learning (DL) and OpenCV Approach
Chapter 3 Enhancing Industrial Operations through AI-Driven Decision-Making in the Era of Industry 4.0
Chapter 4 Acne Detection Using Convolutional Neural Networks and Image-Processing Technique
Chapter 5 Key Driving Technologies for Industry 4.0
Chapter 6 Opportunities and Challenges of Digital Connectivity for Industrial Internet of Things
Chapter 7 Malicious QR Code Detection and Prevention
Chapter 8 Integration of Advanced Technologies for Industry 4.0
Chapter 9 Challenges in Digital Transformation and Automation for Industry 4.0
Chapter 10 Design and Analysis of Embedded Sensors for IIoT: A Systematic Review
Chapter 11 AI for Optimal Decision-Making in Industry 4.0
Chapter 12 Challenges in Lunar Crater Detection for TMC-2 Obtained DEM Image Using Ensemble Learning Techniques
Chapter 13 A Framework of Intelligent Manufacturing Process by Integrating Various Function
Chapter 14 Adaptive Supply Chain Integration in Smart Factories
Chapter 15 Implementation of Intelligent CPS for Integrating the Industry and Manufacturing Process
Chapter 16 Machine-Learning-Enabled Stress Detection in Indian Housewives Using Wearable Physiological Sensors
Chapter 17 Rising of Dark Factories due to Artificial Intelligence
Chapter 18 Deep Learning for Real-Time Data Analysis from Sensors
Chapter 19 Blockchain as a Controller of Security in Cyber-Physical Systems: A Watchdog for Industry 4.0
Chapter 20 Energy Management in Industry 4.0 Using AI
Chapter 21 Deployment of IoT with AI for Automation
Chapter 22 A Comparison of the Performance of Different Machine Learning Algorithms for Detecting Face Masks
Chapter 2 Object Detection Using Deep Learning (DL) and OpenCV Approach
Chapter 3 Enhancing Industrial Operations through AI-Driven Decision-Making in the Era of Industry 4.0
Chapter 4 Acne Detection Using Convolutional Neural Networks and Image-Processing Technique
Chapter 5 Key Driving Technologies for Industry 4.0
Chapter 6 Opportunities and Challenges of Digital Connectivity for Industrial Internet of Things
Chapter 7 Malicious QR Code Detection and Prevention
Chapter 8 Integration of Advanced Technologies for Industry 4.0
Chapter 9 Challenges in Digital Transformation and Automation for Industry 4.0
Chapter 10 Design and Analysis of Embedded Sensors for IIoT: A Systematic Review
Chapter 11 AI for Optimal Decision-Making in Industry 4.0
Chapter 12 Challenges in Lunar Crater Detection for TMC-2 Obtained DEM Image Using Ensemble Learning Techniques
Chapter 13 A Framework of Intelligent Manufacturing Process by Integrating Various Function
Chapter 14 Adaptive Supply Chain Integration in Smart Factories
Chapter 15 Implementation of Intelligent CPS for Integrating the Industry and Manufacturing Process
Chapter 16 Machine-Learning-Enabled Stress Detection in Indian Housewives Using Wearable Physiological Sensors
Chapter 17 Rising of Dark Factories due to Artificial Intelligence
Chapter 18 Deep Learning for Real-Time Data Analysis from Sensors
Chapter 19 Blockchain as a Controller of Security in Cyber-Physical Systems: A Watchdog for Industry 4.0
Chapter 20 Energy Management in Industry 4.0 Using AI
Chapter 21 Deployment of IoT with AI for Automation
Chapter 22 A Comparison of the Performance of Different Machine Learning Algorithms for Detecting Face Masks
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
- Tecnologia da informação: aspectos gerais
- Algoritmos e estruturas de dados
- Hardware do computador
- Inteligência artificial
- Engenharia do controlo automático
- Geração e distribuição de energia
- Aspectos éticos e sociais da Tecnologia Informática
- Ciência ambiental, engenharia e tecnologia
- Engenharia: geral
Artificial Intelligence;Supply Chain;Internet of Things;Industry 4.0;Energy Management;Smart Factory;Digital Twin;Edge Computing;Automation;5G
Chapter 1 A Novel Hybrid Approach Based on Attribute-Based Encryption for Secured Message Transmittal for Sustainably Smart Networks
Chapter 2 Object Detection Using Deep Learning (DL) and OpenCV Approach
Chapter 3 Enhancing Industrial Operations through AI-Driven Decision-Making in the Era of Industry 4.0
Chapter 4 Acne Detection Using Convolutional Neural Networks and Image-Processing Technique
Chapter 5 Key Driving Technologies for Industry 4.0
Chapter 6 Opportunities and Challenges of Digital Connectivity for Industrial Internet of Things
Chapter 7 Malicious QR Code Detection and Prevention
Chapter 8 Integration of Advanced Technologies for Industry 4.0
Chapter 9 Challenges in Digital Transformation and Automation for Industry 4.0
Chapter 10 Design and Analysis of Embedded Sensors for IIoT: A Systematic Review
Chapter 11 AI for Optimal Decision-Making in Industry 4.0
Chapter 12 Challenges in Lunar Crater Detection for TMC-2 Obtained DEM Image Using Ensemble Learning Techniques
Chapter 13 A Framework of Intelligent Manufacturing Process by Integrating Various Function
Chapter 14 Adaptive Supply Chain Integration in Smart Factories
Chapter 15 Implementation of Intelligent CPS for Integrating the Industry and Manufacturing Process
Chapter 16 Machine-Learning-Enabled Stress Detection in Indian Housewives Using Wearable Physiological Sensors
Chapter 17 Rising of Dark Factories due to Artificial Intelligence
Chapter 18 Deep Learning for Real-Time Data Analysis from Sensors
Chapter 19 Blockchain as a Controller of Security in Cyber-Physical Systems: A Watchdog for Industry 4.0
Chapter 20 Energy Management in Industry 4.0 Using AI
Chapter 21 Deployment of IoT with AI for Automation
Chapter 22 A Comparison of the Performance of Different Machine Learning Algorithms for Detecting Face Masks
Chapter 2 Object Detection Using Deep Learning (DL) and OpenCV Approach
Chapter 3 Enhancing Industrial Operations through AI-Driven Decision-Making in the Era of Industry 4.0
Chapter 4 Acne Detection Using Convolutional Neural Networks and Image-Processing Technique
Chapter 5 Key Driving Technologies for Industry 4.0
Chapter 6 Opportunities and Challenges of Digital Connectivity for Industrial Internet of Things
Chapter 7 Malicious QR Code Detection and Prevention
Chapter 8 Integration of Advanced Technologies for Industry 4.0
Chapter 9 Challenges in Digital Transformation and Automation for Industry 4.0
Chapter 10 Design and Analysis of Embedded Sensors for IIoT: A Systematic Review
Chapter 11 AI for Optimal Decision-Making in Industry 4.0
Chapter 12 Challenges in Lunar Crater Detection for TMC-2 Obtained DEM Image Using Ensemble Learning Techniques
Chapter 13 A Framework of Intelligent Manufacturing Process by Integrating Various Function
Chapter 14 Adaptive Supply Chain Integration in Smart Factories
Chapter 15 Implementation of Intelligent CPS for Integrating the Industry and Manufacturing Process
Chapter 16 Machine-Learning-Enabled Stress Detection in Indian Housewives Using Wearable Physiological Sensors
Chapter 17 Rising of Dark Factories due to Artificial Intelligence
Chapter 18 Deep Learning for Real-Time Data Analysis from Sensors
Chapter 19 Blockchain as a Controller of Security in Cyber-Physical Systems: A Watchdog for Industry 4.0
Chapter 20 Energy Management in Industry 4.0 Using AI
Chapter 21 Deployment of IoT with AI for Automation
Chapter 22 A Comparison of the Performance of Different Machine Learning Algorithms for Detecting Face Masks
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
- Tecnologia da informação: aspectos gerais
- Algoritmos e estruturas de dados
- Hardware do computador
- Inteligência artificial
- Engenharia do controlo automático
- Geração e distribuição de energia
- Aspectos éticos e sociais da Tecnologia Informática
- Ciência ambiental, engenharia e tecnologia
- Engenharia: geral
