MACHINE LEARNING ALGORITHM TO PREDICT CO2 USING A CEMENT MANUFACTURING HISTORIC PRODUCTION VARIABLES DATASET: A CASE STUDY AT UNION BRIDGE PLANT, HEIDELBERG MATERIALS, MARYLAND

Machine Learning Algorithm to Predict CO2 Using a Cement Manufacturing Historic Production Variables Dataset: A Case Study at Union Bridge Plant, Heidelberg Materials, Maryland

This study uses machine learning methods to model different stages of the calcination process in cement, with the goal of improving knowledge of the generation of CO2 during cement manufacturing.Calcination is necessary to determine the clinker quality, energy needs, and CO2 emissions in a cement-producing facility.Due to the intricacy of the calci

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Reproduction and population dynamics of Didelphis aurita Wied-Neuwied (Mammalia: Didelphimorphia) in the periurban environment of Santa Catarina Island, in southern Brazil

The various aspects of reproduction and population dynamics of Didelphis aurita were studied through capture-recapture on Santa Catarina Island, in southern Brazil.Surveys were carried out from April 1996 to March 1997.The study area was located near the stream of a swamp in a disturbed Atlantic Forest area.On 880 trap-nights, 31 opossums Tweed Cul

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