首页|Reports Outline Machine Learning Study Findings from Saveetha School of Engineer ing (Development of Advanced Machine Learning for Prognostic Analysis of Drying Parameters for Banana Slices Using Indirect Solar Dryer)
Reports Outline Machine Learning Study Findings from Saveetha School of Engineer ing (Development of Advanced Machine Learning for Prognostic Analysis of Drying Parameters for Banana Slices Using Indirect Solar Dryer)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating from Tamil Nadu, India, by NewsRx correspondents, research stated, “In this study,eXtreme Gradi ent Boosting (XGBoost) and Light Gradient Boosting (LightGBM) algorithms were us edto model -predict the drying characteristics of banana slices with an indirec t solar drier. The relationshipsbetween independent variables (temperature, moi sture, product type, water flow rate, and mass of product)and dependent variabl es (energy consumption and size reduction) were established.”
Tamil NaduIndiaAsiaCyborgsEmergi ng TechnologiesMachine LearningSaveetha School of Engineering
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