DATA-DRIVEN PERFORMANCE ANALYSIS OF AN ACTIVE CHILLED BEAM AIR CONDITIONING SYSTEM: A MACHINE LEARNING APPROACH FOR ENERGY EFFICIENCY AND PREDICTIVE MAINTENANCE

Data-driven performance analysis of an active chilled beam air conditioning system: A machine learning approach for energy efficiency and predictive maintenance

This study aims to enhance energy performance estimation and maintenance planning for office buildings in Tehran.Machine ELP Modules learning and data mining techniques were employed, utilizing Support Vector Machines (SVMs), Artificial Neural Networks (ANNs), Narrow Neural Networks, and optimizable SVMs.A comprehensive dataset of 2500 experimental

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Determinants of mosaic chromosomal alteration fitness

Abstract Clonal hematopoiesis (CH) is characterized by the acquisition of a somatic mutation in a hematopoietic stem cell that results in a clonal expansion.These driver mutations can be single nucleotide variants in cancer driver genes or larger structural rearrangements called mosaic chromosomal alterations (mCAs).The factors Bow that influence t

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