Enhancing Efficiency in Industrial IoT through Data Compression: A Review

Intelligent Systems and Optimization in Engineering

Enhancing Efficiency in Industrial IoT through Data Compression: A Review

Book: Intelligent Systems and Optimization in Engineering

Pages: 9-22

Author(s):
Halil İbrahim Ayaz

Editor(s):
Sabri Kocer
Ozgur Dundar

Full Text PDF

Full Text PDF

Other Chapters

Deep Learning Approaches for Analysis and Prediction of Flight Data

Pages: 1-8

Aerospace and Intelligent Systems

Pages: 23-32

Metaheuristic Algorithms in Artificial Neural Network Training

Pages: 33-52

Optimizing Energy Efficiency in IoT-Based Smart Home Systems

Pages: 53-66

Controller Design Optimization of a Multi-DOF System Using Response Optimizer Toolbox

Pages: 67-79

On the Advanced Optimization Techniques for the Aerodynamic Design of Turbomachinery

Pages: 80-97

Operating Principles and Future Potential of Next-Generation Gunpowder-Free Launchers: Coil Guns

Pages: 98-105

Use of UAV in Agriculture

Pages: 106-114

Texture analysis for Mobiles Phones in Data Compression

Pages: 115-126

The Use of Artificial Intelligence Techniques to Improve Production Quality in Machining Processes

Pages: 127-140

Optimization of Microstrip Patch Antenna Parameters with Artificial Neural Networks

Pages: 141-162

Computer Vision: Object Recognition and Classification

Pages: 163-171

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