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Integration Vis-NIR Spectroscopy and Artificial Intelligence to Predict Some Soil Parameters in Arid Region: A Case Study of Wadi Elkobaneyya, South Egypt

El-Sayed M.A., Abd-Elazem A.H., Moursy A.R.A., Mohamed E.S., Kucher D.E., Fadl M.E.

the study objectives, three multivariate regression models: Partial Least Squares Regression (PLSR

Обзор инструментов для регрессионного анализа в R: от фундаментальных методов до нейронных сетей

Лебедева О.А., Зарядов И.С.

analysis and building regression models. Regression analysis is a key tool in statistics and machine

Automated Complex for the Study of Digital Model of Titan

Andreev A., Nefedyev Y., De La Morena C., Ahmedshina E., Demina N.

This paper aims at considering the issues of regression modeling of the surface of Saturn's moon

Prediction of the Mechanical Properties of Basalt Fiber Reinforced High-Performance Concrete Using Machine Learning Techniques

Hasanzadeh A., Vatin N.I., Hematibahar M., Kharun M., Shooshpasha I.

). The objective of the present study was to predict compressive, flexural, and tensile strengths of BFHPC through

Risk of genitourinary malignancy in patients that receive anticoagulant or antiplatelet therapy

RYSANKOVA Katerina, VRTKOVA Adela, Viktoria M.G., VESELA Adriena, KRHUT Jan

OBJECTIVES: Haematuria is a common indication for a urology evaluation.In many cases, its cause

Modeling and management of power supply enterprises' cash flows

Pyatkina D., Shcherbina T., Samusenkov V., Razinkina I., Sroka M.

forecasting with the use of linear and polynomial regression has been developed. The study is based

Improving reliability of aggregation, numerical simulation and analysis of complex systems by empirical data

Boris, S Dobronets, Olga, A Popova

The paper considers a new approach of regression modeling that uses aggregated data presented

Внешняя трудовая миграция – фактор стабильности или угроза экономической безопасности региона?

Белова, П. В., Мухаметшина, В. Д., Скипин, Д. Л., Belova, P. V., Mukhametshina, V. D., Skipin, D. L.

regression analysis

Development of the software package “interactive automated system for optimal regressions modeling”

arises. It should be noted the initial assumptions of the regression analysis are always observed

Determinants of foreign direct investments: Evidence from brics

Kotenkova S., Larionova N., Varlamova J.

of the study is to identify the major factors that affect the Foreign direct investment. The objects

Страница 9 из 4489