首页|Researcher from Faculty of Technology Publishes Findings in Machine Learning (Tr ansforming Industrial Supervision Systems: A Comprehensive Approach Integrating Machine Learning Techniques and Fuzzy Logic)

Researcher from Faculty of Technology Publishes Findings in Machine Learning (Tr ansforming Industrial Supervision Systems: A Comprehensive Approach Integrating Machine Learning Techniques and Fuzzy Logic)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on artificial intelligence is now ava ilable. According to news originating from Batna,Algeria, by NewsRx corresponde nts, research stated, “In addressing the mounting challenges of industrialsuper vision systems grappling with intricate processes, this study pioneers a transfo rmative paradigmcentered on the SCIMAT cement factory. By seamlessly integratin g Machine Learning and Fuzzy Logic,the primary aim is to revolutionize real-tim e control systems, with a keen focus on cement production.”

Faculty of TechnologyBatnaAlgeriaA fricaCyborgsEmerging TechnologiesFuzzy LogicMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.23)