Results 201 to 210 of about 8,395,195 (223)
Some of the next articles are maybe not open access.

Two-dimensional Monte Carlo simulation coupled with multilinear regression modeling of source-specific health risks from groundwater

Journal of Hazardous Materials
Effective protection of groundwater requires an accurate health risk assessment of contaminants; however, the diversity of pollution sources, variability, and uncertainties in exposure parameters present significant challenges in this assessment. In this study, groundwater risk estimates associated with NO3-, and F-, along with fourteen heavy metal ...
Vesković, Jelena, Onjia, Antonije
openaire   +3 more sources

Evaluating Degree‐Based Topological Indices in QSPR Modeling of Anticancer Drugs Using Linear and Multilinear Regression

International Journal of Quantum Chemistry
ABSTRACT Cancer arises from the rapid growth of aberrant cells within the body. A range of treatment options are available, including surgery, radiation, hormone therapy, and more, for managing this perilous condition.
Bharathi Shettahalli Nagaraje Urs   +3 more
openaire   +1 more source

iPhone Sales Prediction Based on Multilinear Regression Model: Evidence from Statista

2023 IEEE International Conference on Sensors, Electronics and Computer Engineering (ICSECE), 2023
openaire   +1 more source

Sintering optimisation of manganese ore fines: a mixed multilinear regression and linear programming model

1998
Due to the randomness of all factors influencing the sintering operation, a two-stepped procedure is proposed to find the best way of using stocked fines at a plant producing Fe-Mn alloys for the steelmaking industry The approach is based on the following. (1) predict the result of the sintering operation by establishing the best multilinear regression
openaire   +1 more source

Prediction of Calorific Value of Coal by Multilinear Regression and Analysis of Variance

Journal of Energy Resources Technology, Transactions of the ASME, 2022
Yaman S
exaly  

Home - About - Disclaimer - Privacy