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 …
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
Abstract Machine learning-based human thermal comfort prediction is becoming
increasingly popular as artificial intelligence (AI) technologies advance. Human skin …
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
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 …
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
The reliable operation of power transmission networks depends on the timely detection and
localization of faults. Fault classification and localization in electricity transmission networks …
localization of faults. Fault classification and localization in electricity transmission networks …
Machine learning models predict triage levels, massive transfusion protocol activation, and mortality in trauma utilizing patients hemodynamics on admission
Background The effective management of trauma patients necessitates efficient triaging,
timely activation of Massive Blood Transfusion Protocols (MTP), and accurate prediction of in …
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
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 …
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
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 …
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 …
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 …
untuk transaksi di shopee, pembayaran secara offline di mitra shopeepay, dan menyimpan …