A Review on Machine/Deep Learning Techniques Applied to Building Energy Simulation, Optimization and Management

F Villano, GM Mauro, A Pedace - Thermo, 2024 - mdpi.com
Given the climate change in recent decades and the ever-increasing energy consumption in
the building sector, research is widely focused on the green revolution and ecological …

Comparison of models for predicting winter individual thermal comfort based on machine learning algorithms

B Yang, X Li, Y Liu, L Chen, R Guo, F Wang… - Building and …, 2022 - Elsevier
Abstract Machine learning-based human thermal comfort prediction is becoming
increasingly popular as artificial intelligence (AI) technologies advance. Human skin …

CIMA: A Novel Classification‐Integrated Moving Average Model for Smart Lighting Intelligent Control Based on Human Presence

AG Putrada, M Abdurohman, D Perdana… - Complexity, 2022 - Wiley Online Library
Smart lighting systems utilize advanced data, control, and communication technologies and
allow users to control lights in new ways. However, achieving user comfort, which should be …

Improved Fault Classification and Localization in Power Transmission Networks Using VAE-Generated Synthetic Data and Machine Learning Algorithms

MA Khan, B Asad, T Vaimann, A Kallaste… - Machines, 2023 - mdpi.com
The reliable operation of power transmission networks depends on the timely detection and
localization of faults. Fault classification and localization in electricity transmission networks …

[PDF][PDF] COMSATS University Islamabad

M Ali, B Tariq - 2022 - researchgate.net
1 Energy management and efficient asset utilization play an important role in the economic
development of a country. The electricity produced at the power station faces two types of …

Machine learning models predict triage levels, massive transfusion protocol activation, and mortality in trauma utilizing patients hemodynamics on admission

A El-Menyar, M Naduvilekandy, M Asim, S Rizoli… - Computers in Biology …, 2024 - Elsevier
Background The effective management of trauma patients necessitates efficient triaging,
timely activation of Massive Blood Transfusion Protocols (MTP), and accurate prediction of in …

Explainable neural network for sensitivity analysis of lithium-ion battery smart production

K Liu, Q Peng, Y Liu, N Cui… - IEEE/CAA Journal of …, 2024 - ieeexplore.ieee.org
Battery production is crucial for determining the quality of electrode, which in turn affects the
manufactured battery performance. As battery production is complicated with strongly …

Unraveling the temporal importance of community-scale human activity features for rapid assessment of flood impacts

F Yuan, Y Yang, Q Li, A Mostafavi - IEEE Access, 2021 - ieeexplore.ieee.org
The objective of this research is to explore the temporal importance of community-scale
human activity features for rapid assessment of flood impacts. Ultimate flood impact data …

Computer-aided identification of degenerative neuromuscular diseases based on gait dynamics and ensemble decision tree classifiers

L Fraiwan, O Hassanin - Plos one, 2021 - journals.plos.org
This study proposes a reliable computer-aided framework to identify gait fluctuations
associated with a wide range of degenerative neuromuscular disease (DNDs) and health …

Analisis Sentimen Pengguna Twitter terhadap Pembayaran Cashless menggunakan Shopeepay dengan Algoritma Random Forest

TF Basar, DE Ratnawati, I Arwani - Jurnal Pengembangan Teknologi …, 2022 - j-ptiik.ub.ac.id
Shopeepay merupakan layanan uang elektronik yang diterbitkan oleh perusahaan shopee
untuk transaksi di shopee, pembayaran secara offline di mitra shopeepay, dan menyimpan …