Results 21 to 30 of about 6,507,288 (274)
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 +5 more
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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 +3 more
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<p>Pada saat ini petani kebun sangat kesusahan mencari sebuah alat karena tidak adanya sosialisasi tentang tekhnologi alat ukur suhu dan kelembaban dan alat ukur suhu dan kelembaban yang sudah ada termasuk mahal. Penelitian ini dilaksanakan di Perkebunan Teh Kemuning Kecamatan Ngargoyoso Kabupaten Karanganyar dan Perkebunan Jagung dan Tebu di ...
Dwiki Fitrianto, Churnia Sari
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Artificial Neural Network Models to Predict the Cost and Time of Wastewater Projects
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
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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 +3 more
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Forecast Error Calculation with Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE)
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.
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Absolute percentage measurement error according to nodule type.
Absolute percentage measurement error according to nodule type.
Hwan Seok Yong (7826726) +5 more
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An error-minimizing estimator is always preferred in model fittings. However, each error-minimizing estimator minimizes error differently. This paper combines four error-minimizing estimators, which are root mean-squared error, mean absolute error, root ...
Razik Ridzuan Mohd Tajuddin
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Evaluation of load forecasting using different models
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
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Absolute percentage measurement error according to solid nodule size.
Absolute percentage measurement error according to solid nodule size.
Hwan Seok Yong (7826726) +5 more
core +1 more source

