Shulph Ink
Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence
Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence
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- More about Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence
Industrial computerization has advanced significantly, but precision, accuracy, and speed are still of interest. IoT technologies can help manage and monitor sensor data, but machine intelligence is the most appropriate set of techniques for constructing prediction models. Machine intelligent solutions can help industrial stakeholders detect faults, predict errors, track shipments, mitigate risks, and manage disasters.
Format: Hardback
Length: 300 pages
Publication date: 30 April 2022
Publisher: IGI Global
The recent surge in industrial computerization has played a pivotal role in addressing the complexities associated with traditional industrial systems. The industry 4.0 quality standards have set the stage for innovative and intelligent solutions to transform industrial applications. While a wide array of industrial solutions is available, there remains a continuous pursuit of precision, accuracy, and speed by scientists in developing novel solutions. Additionally, while IoT technologies have gained significant traction in industrial applications, managing the time and resource complexity of industrial sensors requires intelligent data management and monitoring. By integrating machine intelligence and IoT technologies, we can unlock the potential to create cutting-edge solutions to the most pressing issues facing industrial applications.
Machine intelligence stands out as the most suitable set of techniques for building prediction models due to its remarkable ability to handle large-scale and intricate datasets. Machine intelligent solutions have the potential to greatly benefit industrial stakeholders by enabling automatic fault detection, early error prediction, real-time tracking of industrial shipments through intelligent sensors, risk mitigation in the healthcare industry through IoT and machine intelligence, disaster management, and numerous other applications.
The primary objectives of this research include:
Assessing the limitations and challenges of industrial systems
Exploring the solutions and challenges associated with machine intelligence in industrial applications
Empowering industrial systems with machine intelligence to mitigate risks
Implementing smart safety measures for industrial systems
Presenting recent intelligent systems for a diverse range of industrial applications
ISBN-13: 9781799892014
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