Results 61 to 70 of about 8,395,195 (223)

Estimation of the recharging rate of groundwater using random forest technique

Applied Water Science, 2020
Accurate knowledge of the recharging rate is essential for several groundwater-related studies and projects mainly in the water scarcity regions. In this study, a comparison between different methods of soft computing-based models was obtained in order ...
Parveen Sihag, Anastasia Angelaki, Barkha Chaplot   +2 more
doaj   +1 more source

Mapping circular pathways: a bibliometric exploration and Multilinear Regression Model of Romania’s circular economy

Theoretical and Applied Economics, 2023
Circular economy represents a key concept in the contemporary era of sustainable development, with the potential to revolutionize how our society consumes, manages resources, and addresses ecological issues. In this context, Romania, a country with a rapidly developing economy, has gradually embraced the principles of the circular economy and has begun
Ionuț NICA, Maria-Luiza CIOCAN
openaire   +1 more source

DBP model selection using multilinear regression.

, 2018
DBP model selection using multilinear regression.
Clarence C. Gravlee (370512), Kia C. Fuller (5759408), Connie J. Mulligan (39895), Christopher McCarty (3859360), Cynthia Seaborn (5759411)   +4 more
core   +1 more source

Assessing the Feasibility of Wearable Devices for Physiological Monitoring and Heat Risk Prediction in Outdoor Agricultural Workers

American Journal of Industrial Medicine, Volume 69, Issue 9, Page 722-744, September 2026.
ABSTRACT Background Outdoor agricultural workers experience significant heat exposure, yet few studies have evaluated whether wearable sensors can reliably measure continuous physiological responses in real field conditions. This pilot study examined the feasibility and predictive utility of core temperature, hydration, heart rate, and movement data ...
Sinan Sousan, Elizabeth Mizelle, Qiang Wu, Rui Wu, Guy Iverson, Ciprian Popoviciu, Dylan Hemedinger, Eliezer Loyola, Takari Hood, Monica Ramirez, Jo Anne Balanay   +10 more
wiley   +1 more source

Recurrence Multilinear Regression Technique for Improving Accuracy of Energy Prediction in Power Systems

Energies
This paper demonstrates how artificial intelligence can be implemented in order to predict the energy needs of daily households using both multilinear regression (MLR) and single linear regression (SLR) methods.
Quota Alief Sias, Rahma Gantassi, Yonghoon Choi, Jeong Hwan Bae   +3 more
doaj   +1 more source

SBP model selection using multilinear regression.

, 2018
SBP model selection using multilinear regression.
Clarence C. Gravlee (370512), Kia C. Fuller (5759408), Connie J. Mulligan (39895), Christopher McCarty (3859360), Cynthia Seaborn (5759411)   +4 more
core   +1 more source

Machine Learning for Synthetic Organic Chemistry: Methods, Applications, and Best Practices

Angewandte Chemie Novit, Volume 2, Issue 3, September 2026.
Artificial intelligence (AI) and machine learning (ML) are increasingly reshaping experimental chemistry. This review maps the challenges of synthetic organic chemistry to modern digital tools that can help address them. While focusing on the practical application of ML tools in real‐world laboratory settings, we outline prerequisites, emerging ...
Niklas Hölter, Felix Katzenburg, Florian Boser, Frank Glorius   +3 more
wiley   +1 more source

DesMol2, an Effective Tool for the Construction of Molecular Libraries and Its Application to QSAR Using Molecular Topology

Molecules, 2019
A web application, DesMol2, which offers two main functionalities, is presented: the construction of molecular libraries and the calculation of topological indices.
Inma García-Pereira, Riccardo Zanni, Maria Galvez-Llompart, Jorge Galvez, Ramón García-Domenech   +4 more
doaj   +1 more source

Predictive Models of Adult Distance Learners' Academic Performance: Comparative Analysis of Two Regression-based Models of Path Analysis [PDF]

, 2011
Using two regression-based models, this study looked into factors that explain academic performance of adult distance learners. The efficiency and applicability of linear regression and logit regression procedures as statistical models for path analysis ...
Quimbo, Maria Ana T.
core  

High‐Throughput Kinetics Enable Predicting Reactivity Across Mechanisms of Acid/Base Catalysis in Water

Angewandte Chemie Novit, Volume 2, Issue 3, September 2026.
Quantitative predictions of reactivity in water remain challenging due to the multiparameter nature arising from acid‐base catalysis. We have established a high‐throughput kinetic workflow used to measure 6889 rate constants of a model carbonyl addition reaction.
Stefan Kuffer, Robert J. Mayer
wiley   +1 more source