Results 61 to 70 of about 42,250 (218)

Forecasting PM2.5 in Malaysia Using a Hybrid Model

Aerosol and Air Quality Research, 2023
Predicting future PM2.5 concentrations based on knowledge obtained from past observational data is very useful for predicting air pollution. This paper aims to develop a hybrid forecasting model using an Artificial Neural Network (ANN) and Triple ...
Ezahtulsyahreen Ab. Rahman, Firdaus Mohamad Hamzah, Mohd Talib Latif, Azman Azid   +3 more
doaj   +1 more source

Safety soft sensor development for pilot‐scale ilmenite electric arc furnace using long short‐term memory‐based architecture

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Ilmenite electric arc furnaces (EAFs) are used for smelting titanium‐iron oxide ore at high temperatures generated by electrical arcs to produce titanium slag and pig iron. As these units are pushed to their limits, ensuring safe and reliable operation becomes challenging.
Antony Gareau‐Lajoie, Djogap F. Chrysler J., Daniel Rodrigues, Marie‐Ève Gosselin, Moncef Chioua   +4 more
wiley   +1 more source

Using Multivariate Adaptive Regression Splines to Estimate Summed Stress Score on Myocardial Perfusion Scintigraphy in Chinese Women with Type 2 Diabetes: A Comparative Study with Multiple Linear Regression

Diagnostics
Background: Myocardial perfusion scintigraphy (MPS) is an important tool for evaluating ischemia in diabetic populations. However, applications of advanced predictive models like multivariate adaptive regression splines (MARS) to estimate summed stress ...
Chien-Han Yuan, Po-Chun Lee, Sheng-Tang Wu, Chung-Chi Yang, Ta-Wei Chu, Dong-Feng Yeih   +5 more
doaj   +1 more source

Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model

Deep Underground Science and Engineering, EarlyView.
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang, Maohui Wang, Ning Wang, Yixin Shen, Xuzhen He   +4 more
wiley   +1 more source

Transforming oil market analysis: A novel GAN + LSTM predictive framework

Next Energy
A novel method of predicting the crude oil WTI futures prices based on a data set covering April 12, 2009 through January 7, 2024. To capture complex market dynamics more precisely, it incorporates key market factors such as open, high, and low price ...
Prity Kumari, G.Y. Chandan, Satish Kumar M   +2 more
doaj   +1 more source

中国寧夏地域における日照時間から日積算日射量の推定 [PDF]

, 2009
For the estimation of daily solar radiation from sunshine duration, observation data of Yinchuan station in Ningxia, China was used. Using a linear relationship between solar radiation and extraterrestrial radiation including relative sunshine duration ...
Tsukamoto, Osamu, Yang, Qin
core   +1 more source

Dynamic tensile strength and fracture evolution of characteristic shale with bedding and hole using linear regression theory

Deep Underground Science and Engineering, EarlyView.
The spiral conical perforations generated during methane in situ explosion fracturing operations lead to tensile fracture propagation in shale reservoirs being governed by the combined effects of impact pressure, bedding, and aperture under explosive loading. Using multiple regression analysis and digital image correlation technology, the mechanisms of
Yabo Chai, Ning Luo, Jianan Zhou, Haohao Zhang, Penglong Li, Yu Wang, Cheng Zhai, Tianran Ma   +7 more
wiley   +1 more source

Predicting hourly heating load in residential buildings using a hybrid SSA–CNN–SVM approach

Case Studies in Thermal Engineering
This study proposes a hybrid prediction model using sparrow search algorithm (SSA) to optimize the convolutional neural network (CNN) and support vector machine (SVM), in order to perform accurate prediction of secondary supply temperature (Ts2).
Wenhan An, Bo Gao, Jianhua Liu, Ji Ni, Jiying Liu   +4 more
doaj   +1 more source

Advancing mine pillar design: Evaluating traditional methods and integrating AI for enhanced stability of pillars in the Great Dyke, Zimbabwe

Deep Underground Science and Engineering, EarlyView.
B1 is bord width 1, B2 is bord width 2, L is the pillar length, W is the pillar width, red color and letter A represent the pillars, and white color and number 1 represent excavated areas. Pstress is the average pillar stress; σv is the vertical component of the virgin stress, MPa; and e is the areal extraction ratio. e = B o B o + B P ${\rm{e}}=\frac{{
Tawanda Zvarivadza, Hendrik Grobler, Peter Apata Olubambi, Moshood Onifade, Manoj Khandelwal   +4 more
wiley   +1 more source

Can the velocity profile in the bench press and the bench pull sufficiently estimate the one repetition maximum in youth elite cross-country ski and biathlon athletes?

BMC Sports Science, Medicine and Rehabilitation
Introduction In recent years, load-velocity profiles (LVP) have been frequently proposed as a highly reliable and valid alternative to the one-repetition maximum (1RM) for estimating maximal strength and prescribing training loads.
Carl-Maximilian Wagner, Michael Keiner, Sebastian Puschkasch-Möck, Klaus Wirth, Stephan Schiemann, Konstantin Warneke   +5 more
doaj   +1 more source