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Smart energy forecasting strategy with four machine learning models for climate-sensitive and non-climate sensitive conditions - ScienceDirect
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Smart energy forecasting strategy with four machine learning models for climate-sensitive and non-climate sensitive conditions - ScienceDirect
Characteristics of Air Gasification of 10 Different Types of Plastic in a Two-Stage Gasification Process | ACS Sustainable Chemistry & Engineering
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Smart energy forecasting strategy with four machine learning models for climate-sensitive and non-climate sensitive conditions - ScienceDirect
Magnetic Fractions of PM2.5, PM2.5–10, and PM10 from Coal Fly Ash as Environmental Pollutants | ACS Omega
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Correlating Interfacial Area and Volumetric Mass Transfer Coefficient in Bubble Column with the Help of Machine Learning Methods | Industrial & Engineering Chemistry Research
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