Results 121 to 130 of about 12,024 (199)

Modeling nitrogen dioxide concentrations using citizen science data: The case of the Brussels-Capital Region

City and Environment Interactions
Air pollution caused by NO2 emissions related to traffic is a major environmental issue in the Brussels-Capital region. Using a large set of measurements collected from a citizen science campaign, this paper shows how such data help us to get an overview
Patrick Bogaert, Noémie Huvelle, Axel Briffault, Olivier Brasseur   +3 more
doaj   +1 more source

Prediction of Cell Migration in MDA-MB 231 and MCF-7 Human Breast Cancer Cells Treated with Albizia Lebbeck Methanolic Extract Using Multilinear Regression and Artificial Intelligence-Based Models [PDF]

, 2023
Huzaifa Umar, Nahit Rizaner, A. G. Usman, Maryam Rabiu Aliyu, Humphrey Adun, Umar Muhammad Ghali, Dilber Uzun Ozsahin, Sani I. Abba   +7 more
openalex   +1 more source

Predicting Gas Separation Efficiency of a Downhole Separator Using Machine Learning

Energies
Artificial lift systems, such as electrical submersible pumps and sucker rod pumps, frequently encounter operational challenges due to high gas–oil ratios, leading to premature tool failure and increased downtime.
Ashutosh Sharma, Laura Camila Osorio Ojeda, Na Yuan, Tunc Burak, Ishank Gupta, Nabe Konate, Hamidreza Karami   +6 more
doaj   +1 more source

Quantitative Analysis of Predictors of Acoustic Materials for Noise Reduction as Sustainable Strategies for Materials in the Automotive Industry

Applied Sciences
This study proposes a qualitative analysis for identifying the best predictors for ensuring passive noise control, aiming to achieve superior acoustic comfort in transportation systems.
Bianca-Mihaela Cășeriu, Manuela-Rozalia Gabor, Petruța Blaga, Cristina Veres   +3 more
doaj   +1 more source

The use of output-dependent data scaling with artificial neural networks and multilinear regression for modeling of ciprofloxacin removal from aqueous solution [PDF]

, 2016
Ulaş Yurtsever, Esra Can Doğan, Nevim Genç   +2 more
openalex   +1 more source

Reliability‐based assessment of a multilinear regression model for estimating the ultimate load of eccentrically loaded slender circular CFDST columns [PDF]

Akuta Usongo Amika, T. Haas, Lenganji Simwanda   +2 more
openalex   +1 more source

Integrated Ultrasonic Flow Meter and Microwave Sensing Technology for Wet Gas Measurement: Development and Validation of Over‐Reading Correction Models

IET Science, Measurement & Technology
Accurate wet gas flow measurement is essential for production optimisation, custody transfer, and regulatory compliance in the energy and chemical industries. Conventional ultrasonic flow meters often overestimate gas flow rates due to liquid entrainment,
Ishigita Lucas Shunashu, Osmund Kaunde, Duncan Mwakipesile   +2 more
doaj   +1 more source

The Application of Multilinear Regression Model for Quantitative Analysis on the Basis of Excitation-Emission Matrix Spectra and the Release of a Free Graphical User Interface [PDF]

Xinkang Li, Zirui Chen, Lijun Tang, Jingjing Guo, Baoqiong Li   +4 more
openalex   +1 more source

Compressive strength prediction of carbonated recycled aggregate concrete using regression based machine learning models. [PDF]

Sci Rep
Gebremariam HG, Taye S, Tarekegn AG.
europepmc   +1 more source

Estimating the valence and arousal of dyadic conversations using autonomic nervous system responses and regression algorithms. [PDF]

Front Neuroergon
Chatterjee I, Goršič M, Kaya RA, Clapp JD, Novak VD.   +4 more
europepmc   +1 more source