Results 11 to 20 of about 34,984 (114)

Accuracy Assessment of an Android-Based Pharmacokinetic Application for Amikacin Using Mean Absolute Percentage Error (MAPE)

Malaysian Journal of Medical Research
Background: This study evaluates the accuracy of an Android-based pharmacokinetic application, the "Indonesia Pharmacokinetic Calculator" (Kalkulator Farmakokinetik Indonesia - KFI), developed to calculate individual pharmacokinetic parameters in patients receiving amikacin, a narrow therapeutic index drug.
Triswanto Sentat, Heri Wijaya, Siti Jubaidah   +2 more
openaire   +3 more sources

Mean Absolute Percentage Error (MAPE) dan Pengertiannya

Jurnal Pemanfaatan Teknologi untuk Masyarakat: Jurnal Pengabdian Masyarakat
Mean Absolute Percentage Error (MAPE) adalah metrik evaluasi yang umum digunakan dalam statistik dan machine learning untuk mengukur tingkat kesalahan prediksi dalam sebuah model regresi. MAPE sebaiknya digunakan ketika ingin mengukur tingkat kesalahan prediksi dalam persentase, sehingga cocok digunakan dalam kasus di mana perbedaan absolut antara ...
openaire   +3 more sources

Intelligence based Accurate Medium and Long Term Load Forecasting System

Applied Artificial Intelligence, 2022
In this study, we aim to provide an efficient load prediction system projected for different local feeders to predict the Medium- and Long-term Load Forecasting.
Faisal Mehmood Butt, Lal Hussain, Syed Hassan Mujtaba Jafri, Haya Mesfer Alshahrani, Fahd N Al-Wesabi, Kashif Javed Lone, Elsayed M. Tag El Din, Mesfer Al Duhayyim   +7 more
doaj   +1 more source

VAR, ARIMAX and ARIMA models for nowcasting unemployment rate in Ghana using Google trends

Journal of Electrical Systems and Information Technology, 2023
The analysis of the high volume of data spawned by web search engines on a daily basis allows scholars to scrutinize the relation between the user’s search preferences and impending facts. This study can be used in a variety of economics contexts.
Williams Kwasi Adu, Peter Appiahene, Stephen Afrifa   +2 more
doaj   +1 more source

A new hybrid genetic algorithm-sarima-artificial neural network in forecasting Malaysian export amount of palm oil [PDF]

, 2021
Malaysia is a significant export country of palm oil to all over the world. Therefore, forecasting of palm oil export is required to help in boosting the nation’s socioeconomic development as well as for the plantation companies to sustain and ...
Chai, Kah Chun
core   +1 more source

A comprehensive approach on predicting the crop yield using hybrid machine learning algorithms

Journal of Agrometeorology, 2022
Crop yield prediction is a complex task which uses historical data to predict how much yield can be obtained in a particular year. To predict accurate crop yield, a novel deep neural network named crop yield predicting deep neural network with XGBoost ...
KRITHIKHA SANJU SARAVANAN , VELAMMAL BHAGAVATHIAPPAN   +1 more
doaj   +1 more source

Using the Mean Absolute Percentage Error for Regression Models [PDF]

, 2015
We study in this paper the consequences of using the Mean Absolute Percentage Error (MAPE) as a measure of quality for regression models. We show that finding the best model under the MAPE is equivalent to doing weighted Mean Absolute Error (MAE ...
De Myttenaere, Arnaud, Golden, Boris, Grand, Bénédicte Le, Rossi, Fabrice   +3 more
core   +8 more sources

Application of Artificial Neural Network to Solar Potential Estimation in Hilly Region of India [PDF]

Journal of Renewable Energy and Environment, 2022
The use of these conventional resources causes continuous depletion of fossil fuels and increased greenhouse effect. Solar power is the major renewable resource used for power generation across the globe.
Rahul Dogra, Sanjay Kumar, Nikita Gupta
doaj   +1 more source

Sutte Indicator: an approach to predict the direction of stock market movements [PDF]

, 2018
The purpose of this research is to apply technical analysis of Sutte Indicator in stock trading which will assist in the investment decision making process i.e. buying or selling shares. This research takes data of "A" on the Indonesia Stock Exchange(IDX
Ahmar, Ansari Saleh
core   +2 more sources

Improving Lettuce Fresh Weight Estimation Accuracy through RGB-D Fusion

Agronomy, 2023
Computer vision provides a real-time, non-destructive, and indirect way of horticultural crop yield estimation. Deep learning helps improve horticultural crop yield estimation accuracy. However, the accuracy of current estimation models based on RGB (red,
Dan Xu, Jingjing Chen, Ba Li, Juncheng Ma   +3 more
doaj   +1 more source