Results 21 to 30 of about 15,675 (200)

Multilinear Regression Model to Estimate Mud Weight [PDF]

Nigerian Journal of Environmental Sciences and Technology, 2021
Estimation of mud weight poses a serious challenge to mud industries. In this study, a model was developed to tackle the problem of estimation of mud weight using multilinear regression techniques. The model was developed using data obtained from production records.
J. O. Oloro, T. E. Akhihiero
openaire   +1 more source

Use of Machine-Learning and Load–Velocity Profiling to Estimate 1-Repetition Maximums for Two Variations of the Bench-Press Exercise

Sports, 2021
The purpose of the current study was to compare the ability of five different methods to estimate eccentric–concentric and concentric-only bench-press 1RM from load–velocity profile data.
Carlos Balsalobre-Fernández, Kristof Kipp   +1 more
doaj   +1 more source

Added value of a multiparametric eddy-driven jet diagnostic for understanding European air stagnation

Environmental Research Letters, 2023
Air stagnation refers to an extended period of clear, stable conditions which can favour the accumulation of pollutants in the lower atmosphere.
J W Maddison, B Ayarzagüena, D Barriopedro, R García-Herrera   +3 more
doaj   +1 more source

Multilinear Regression Analysis between Local Bioimpedance Spectroscopy and Fish Morphological Parameters

Fishes, 2023
Repeated fish handling may cause stress, which biases experiments and so affects the results. In order to reduce this, the present study investigates the benefit of using bioimpedance analysis to estimate morphological parameters.
Vincent Kerzérho, Florence Azaïs, Serge Bernard, Sylvain Bonhommeau, Blandine Brisset, Laurent De Knyff, Mohan Julien, Michel Renovell, Tristan Rouyer, Claire Saraux, Fabien Soulier   +10 more
doaj   +1 more source

Machine Learning Techniques for Estimating Hydraulic Properties of the Topsoil across the Zambezi River Basin

Land, 2022
It is critical to produce more crop per drop in an environment where water availability is decreasing and competition for water is increasing. In order to build such agricultural production systems, well parameterized crop growth models are essential ...
Mulenga Kalumba, Edwin Nyirenda, Imasiku Nyambe, Stefaan Dondeyne, Jos Van Orshoven   +4 more
doaj   +1 more source

Improving the classification of facies quality in tight sands by petrophysical logs [PDF]

International Journal of Mining and Geo-Engineering, 2021
As conventional hydrocarbon reserves are running out, attention is now being paid to unconventional hydrocarbon resources and reserves such as tight sands and hydrocarbon shales for future energy supplies.
Yousef Asgari Nezhad, Ali Moradzadeh
doaj   +1 more source

Prediction of California Bearing Ratio of Granular Soil by Multivariate Regression and Gene Expression Programming

Advances in Civil Engineering, 2022
This research demonstrates the results of an investigation into the California bearing ratio (CBR) of granular soils from Qassim region, Saudi Arabia, using multilinear regression (MLR), pure quadratic (PQ) models, and gene expression programming (GEP ...
Mudthir Bakri, Ibrahim Aldhari, Mohammed Saleh Alfawzan   +2 more
doaj   +1 more source

Modeling Horizontal Ultraviolet Irradiance for All Sky Conditions by Using Artificial Neural Networks and Regression Models

Applied Sciences, 2023
In the present study, different models constructed with meteorological variables are proposed for the determination of horizontal ultraviolet irradiance (IUV), on the basis of data collected at Burgos (Spain) during an experimental campaign between March
M. I. Dieste-Velasco, S. García-Rodríguez, A. García-Rodríguez, M. Díez-Mediavilla, C. Alonso-Tristán   +4 more
doaj   +1 more source

Density Functional Theory for QSAR Antioxidant Compound Myristicin Derivatives

Indonesian Journal of Chemical Research, 2021
This research was conducted to determine the molecular structure modeling and the quantitative relationship of the activity structure (QSAR) of substituted myristicin derivatives with electron donor groups such as -C6H5 (M1), -NH2 (M2), -Cl (M3), -F (M4),
Muliadi Muliadi, Mudzuna Quraisyah Basimin, Ahmad Muchsin Jayali   +2 more
doaj   +1 more source

Prediction of Compression Index of Marine clay Using Artificial Neural Network and Multilinear Regression Models [PDF]

Journal of Soft Computing in Civil Engineering, 2021
Compression Index (CI) is one of the frequently used soil parameters for the determination of possible settlement. In this study, the Compression Index of Marine clay is predicted using Artificial Neural network (ANN).
Ramachandiran Saisubramanian, V Murugaiyan   +1 more
doaj   +1 more source