Results 1 to 10 of about 16,925,620 (257)

Atlantic Hurricane Activity Prediction: A Machine Learning Approach

Atmosphere, 2021
Long-term hurricane predictions have been of acute interest in order to protect the community from the loss of lives, and environmental damage. Such predictions help by providing an early warning guidance for any proper precaution and planning.
Tanmay Asthana, Hamid Krim, Xia Sun, Siddharth Roheda, Lian Xie   +4 more
doaj   +1 more source

Implementation of artificial intelligence and support vector machine learning to estimate the drilling fluid density in high-pressure high-temperature wells

Energy Reports, 2021
One of the challenging conditions in wellbore management is high-pressure, high-temperature wells that apply large expenditures and maintenance costs to petroleum industries.
Rahmad Syah, Naeim Ahmadian, Marischa Elveny, S.M. Alizadeh, Meysam Hosseini, Afrasyab Khan   +5 more
doaj   +1 more source

MCMC and GLMs for estimating regression parameters: Evidence from non-life Egyptian insurance sector [PDF]

Journal of Humanities and Applied Social Sciences, 2019
Purpose – The purpose of this study is to estimate the linear regression parameters using two alternative techniques. First technique is to apply the generalized linear model (GLM) and the second technique is the Markov Chain Monte Carlo (MCMC) method ...
Mahmoud ELsayed, Amr Soliman
doaj   +1 more source

Utilization of Diaphragm Motion to Predict the Displacement of Liver Tumors for Patients Treated with Carbon ion Radiotherapy

Technology in Cancer Research & Treatment, 2023
Objectives: To establish and validate a linear model utilizing diaphragm motion (DM) to predict the displacement of liver tumors (DLTs) for patients who underwent carbon ion radiotherapy (CIRT).
Yao Li BM, Wumiao Tang, Jiangbing Zhang, Ruirui Bu MS, Wenchien Hsi PhD, Yongqiang Li PhD   +5 more
doaj   +1 more source

A Modified Functional Observer-Based EID Estimator for Unknown Continuous-Time Singular Systems

Applied Sciences, 2020
This paper presents the design of a linear quadratic analog tracker (LQAT) based on the observer–Kalman-filter identification (OKID) method and the design of a modified functional observer-based equivalent input disturbance (EID) estimator for unknown ...
Jason Sheng-Hong Tsai, Yang-Fang Chen, Te-Jen Su, Chia-Yuan Chang, Shu-Mei Guo, Leang-San Shieh, Jose I. Canelon   +6 more
doaj   +1 more source

ExploreModelMatrix: Interactive exploration for improved understanding of design matrices and linear models in R [version 1; peer review: 1 approved, 2 approved with reservations]

F1000Research, 2020
Linear and generalized linear models are used extensively in many scientific fields, to model observed data and as the basis for hypothesis tests. The use of such models requires specification of a design matrix, and subsequent formulation of contrasts ...
Charlotte Soneson, Federico Marini, Florian Geier, Michael I. Love, Michael B. Stadler   +4 more
doaj   +1 more source

A Cumulative Damage Model for Fatigue Life Prediction Based on Dynamic and Static Deflections [PDF]

Engineering and Technology Journal, 2015
The main goal of this study is to report experimental evidence about the accumulative fatigue damage behavior of CK35 steel alloy at room temperature and zero main stress (R = -1) .
AlalKawi M, Nazhat S. Abdul, Hasan H. Juhi   +2 more
doaj   +1 more source

ARTIFICIAL INTELLIGENCE TECHNIQUES APPLIED TO THE OPTIMIZATION OF MICRO-IRRIGATION SYSTEMS BY THE ZIMMERMANN-WERNER METHOD [PDF]

Engenharia Agrícola, 2022
Optimal solutions derived from linear programming models depend entirely on input parameters, which may present some imprecision because they come from estimates.
Evanize R. Castro, João C. C. Saad, Luís R. A. Gabriel Filho   +2 more
doaj   +1 more source

Determinants of proper nutrition behaviors in women: A study based on health promotion model in 2016 [PDF]

Majallah-i Zanān, Māmā̓ī va Nāzā̓ī-i Īrān, 2017
Introduction: Poor eating habits are the cause of 20% cancers in developing countries. Proper nutrition, not smoking and regular physical activity are the main components of prevention of chronic diseases.
Mohamad Tajfrd, Mohamad Vahedian Shahroudi, Habibollah Esmaily, Nasrin Alizadeh, Zahra Hoseini khabooshan   +4 more
doaj   +1 more source

Nonparametric Spline Truncated Regression with Knot Point Selection Method Generalized Cross Validation and Unbiased Risk

JTAM (Jurnal Teori dan Aplikasi Matematika), 2023
Nonparametric regression approaches are used when the shape of the regression curve between the response variable and the predictor variable is assumed to be unknown. Nonparametric excess regression has high flexibility.
Tutik Handayani, Sifriyani Sifriyani, Andrea Tri Rian Dani   +2 more
doaj   +1 more source