Results 31 to 40 of about 224,256 (277)

Cooperative prediction method of gas emission from mining face based on feature selection and machine learning

International Journal of Coal Science & Technology, 2022
Collaborative prediction model of gas emission quantity was built by feature selection and supervised machine learning algorithm to improve the scientific and accurate prediction of gas emission quantity in the mining face.
Jie Zhou, Haifei Lin, Hongwei Jin, Shugang Li, Zhenguo Yan, Shiyin Huang   +5 more
doaj   +1 more source

Factors Indicating the Accuracy of Fetal Weight Estimation in Preterm Newborns with Normal Amniotic Fluid Volume

Gynecology Obstetrics & Reproductive Medicine, 2021
OBJECTIVE: To determine the factors indicating the accuracy of fetal weight estimation in the last prenatal ultrasonography before delivery in preterm newborns with normal amniotic fluid volume.
Onur Guralp, Nevin Tuten, Abdullah Tuten, Altay Gezer   +3 more
doaj   +1 more source

Forecasting of Groundwater Tax Revenue Using Single Exponential Smoothing Method [PDF]

E3S Web of Conferences, 2019
Setting the target of groundwater tax revenues for the next year is an important thing for Kutai Kartanegara Regional Office of Revenue to maximize the regional income and accelerate regional development.
Khairina Dyna Marisa, Muaddam Aqib, Maharani Septya, Rahmania Heliza   +3 more
doaj   +1 more source

Comparison of absolute percentage error and RMS noise in current with different amplifiers.

, 2022
a Absolute error percentage in the measured current as defined in Eq (1), is plotted against the expected current for different amplifiers. Note that the current was measured at both positive and negative voltages to get an absolute mean current value ...
Saurabh Kaushik (9655375), Gautam Vivek Soni (9655381), Prabhakaran Selvanathan (12437031)   +2 more
core   +1 more source

Artificial Neural Network Models to Predict the Cost and Time of Wastewater Projects

Journal of Engineering, 2023
Infrastructure, especially wastewater projects, plays an important role in the life of residential communities. Due to the increasing population growth, there is also a significant increase in residential and commercial facilities. This research aims to
Atheer M. Al-Saady , Sedqi E. Rezouki
doaj   +1 more source

Forecast Error Calculation with Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE)

JINAV: Journal of Information and Visualization, 2020
Calculation errors in forecasting a data are very important from a forecasting process. The high level of forecasting accuracy will affect the level of confidence in forecasting decision making.
openaire   +1 more source

Multi-Objective Transport System Based on Regression Analysis and Genetic Algorithm Using Transport Data

IEEE Access, 2019
Intelligent transportation system (ITS) is a cutting-edge traffic solution employing state-of-the-art information and communication technologies. Optimized bus-scheduling, being an integral part of ITS, ensures safety, efficiency, traffic congestion ...
Moubeen Farooq Khan, Sohail Asghar, Manzoor Illahi Tamimi, Muhammad Asim Noor   +3 more
doaj   +1 more source

Developing and Preliminary Testing of a Machine Learning-Based Platform for Sales Forecasting Using a Gradient Boosting Approach

Applied Sciences, 2022
Organizations engaged in business, regardless of the industry in which they operate, must be able to extract knowledge from the data available to them. Often the volume of customer and supplier data is so large, the use of advanced data mining algorithms
Antonio Panarese, Giuseppina Settanni, Valeria Vitti, Angelo Galiano   +3 more
doaj   +1 more source

Evaluation of load forecasting using different models

Measurement: Energy
This paper addresses a new prediction of load technique that joins the adaptability of RNNs with the capabilities of temporal modelling of Kolmogorov–Arnold Recurrent with good accuracy, because in energy management, load forecasting is essential since ...
Saroj Kumar Panda, Bishwajit Dey
doaj   +1 more source

Aplikasi Triple Exponential Smoothing Untuk Forecasting Jumlah Penduduk Miskin

Jurnal Derivat, 2016
This study aims to predict the number of poor in Indonesia for the next few years using a triple exponential smoothing method. The purpose of this research is the result of the forecast number of poor people in Indonesia accurate forecast results are ...
Padrul Jana
doaj   +1 more source