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 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 samples was

The Chen-Lee -Liu model has many applications in assorted fields, particularly in the study of nonlinear dynamics, chaos theory, circuit design, signal Loft Bed processing, secure communications, encryption and decryption of chaotic signals, as well as cryptography.The modified extended auxiliary equation mapping method has been applied to the Chen

Iron Baseplate Cleaner This work addresses a methodology based on the Interferometric Synthetic Aperture Radar (InSAR) to analyse and monitor ground motion phenomena induced by underground mining activities, in the Legnica-Glogow Copper District, south-western Poland.Two stacks of ascending and descending Sentinel-1 Synthetic Aperture Radar (SAR) i

Abstract Background The microbial community composition of urban environments is primarily determined by human activity.The use of metagenomics to explore how microbial communities are shaped in a city provides a novel input that can improve decisions on public health measures, architectural design, and urban resilience.Of note, the sewage system i

Objective: This review discusses how biometricians would probably compute or estimate expected waiting times, if they had the data.Methods: Our framework is a Hair Bleaching Cream time-inhomogeneous Markov multistate model, where all transition hazards are allowed to be time-varying.We assume that the cumulative transition hazards are given.That is