Results 21 to 30 of about 876,273 (176)
Case Studies in Thermal Engineering, 2023 Due to the complexity and changeable of lithium-ion batteries, we propose a multi-variable and multi-step Temporal neural network to cover this task. Specially, a novel multi-step training strategy is applied to deal with long time sequences, and multi ...
Yufeng Huang, Jian Sun, Lei Xu
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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 +3 more
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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 +3 more
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ELECTRA : Electrical Engineering Articles, 2022 <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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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.
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Malaysia tourism demand forecasting using box-jenkins approach [PDF]
, 2018 Tourism industry in Malaysia is crucial and has contributes a huge part in Malaysia’s economic growth. The capability of forecasting field in tourism industry can assist people who work in tourism-related-business to make a correct judgment and plan ...
Abd Latif, Amirah +6 more
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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
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A review on Black-Scholes model in pricing warrants in Bursa Malaysia [PDF]
, 2016 This paper studies the accuracy of the Black-Scholes (BS) model and the dilution-adjusted Black-Scholes (DABS) model to pricing some warrants traded in the Malaysian market.
Abdul Rahim, Norhuda +2 more
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ACCRUED FORECASTING ON TOURIST’S ARRIVAL IN BANGLADESH FOR SUSTAINABLE DEVELOPMENT [PDF]
Geo Journal of Tourism and Geosites, 2021 Forecasting of potential tourists’ appearance could assume a critical role in the tourism industry, arranging at all levels in both the private and public sectors.
Sayed Mohibul HOSSEN +3 more
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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 +3 more
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