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Global Iron Ore DR Pellets Industry Report 2023-2029 with Analyst Recommendations - Expanding installation of CCU Technologies in Iron Ore DR Pellets Plants

/PRNewswire/ The "Global Iron Ore DR Pellets Market (2023 Edition): Analysis By Value and Volume, Production Process (Coal-Based, Gas-Based), By Application. ....

United Kingdom , Rio Tinto , United States , Laura Wood , Company Profiles , Cleveland Cliffs Inc , World Steel Association , E St Office Hours Call , Office Hours Call , Magnetation Inc , Fortescue Metals Group Ltd , Iron Ore , Analysis By Value , Production Process , Product Source , Market Insights , Middle East Africa , Carbon Capture , Direct Reduction , Machine Learning Model , Macro Economic Factors , Global Iron Ore , Worldwide Production , Production Trends , Market Size , Volume Million ,

MLHub machine learning software | Control Engineering

MLHub machine learning software | Control Engineering
controleng.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from controleng.com Daily Mail and Mail on Sunday newspapers.

Enhanced Machine Learning Capabilities , Machine Learning , Machine Learning Model , Plotting Contextual Data , Enhanced Operational Dashboards , New Products For ,

WEBINAR: Using AI to Digitize Maintenance of Aircraft Parts

Experts discuss Lifecycle Optimization for Aerospace using AI to digitize aircraft parts maintenance, enhance reuse, cut costs, and promote a circular economy. ....

Ed Hazelwood , Tim Murnin , Head Of Aerospace Industry Solutions Strategy , Lifecycle Optimization For Aerospace , Amazon Web Services , Lifecycle Optimization , Machine Learning Model , Matthieu Ritter , Defense Industry Vice President , Aerospace Industry Solutions ,

Advanced Machine Learning Model for Predicting Chlorine Levels

The journal Frontiers of Environmental Science & Engineering released an article on September 28th, 2023, which details how Georgia Institute of Technology researchers created a novel machine learning (ML) model to enhance Free Chlorine Residual (FCR) level forecasting. ....

United States , Georgia Institute Of Technology , Skyla Baily , National Science Foundation United States , Us Environmental Protection Agency , Food Research Initiative , Environmental Science , Georgia Institute , Free Chlorine Residual , Machine Learning Model , Predicting Chlorine Levels , Tech Industry Focus , National Institute , Food Production Systems , National Science Foundation , Protection Agency ,

"A novel strategy based on machine learning of selective cooling contro" by Pengfei Wang, Jinkun Deng et al.

Precise selective cooling control of work roll can significantly improve the cold rolled strip flatness in steel manufacturing industry. To improve the control accuracy of the coolant output of selective work roll cooling control system, a machine learning (ML) algorithm with differential evolution-gray wolf algorithm optimization support vector machine regression (DE-GWO-SVR) model has been proposed for the first time in this study. This model combines the differential evolution (DE) with grey wolf optimization algorithm (GWO) to improve the optimization performance of the algorithm. Then, the SVR model parameters are optimized with differential evolutionary gray wolf hybrid algorithm (DE-GWO) to improve the regression accuracy. Finally, the influences of data normalization methods and the selection of SVR kernel functions were systematically investigated. Compared with the test results of other regression models, the evaluation index R 2 based on the DE-GWO-SVR model is greater and ....

Cold Rolling Process , Machine Learning Model , Elective Work Roll Cooling , Teel Manufacturing , Trip Flatness ,