Results 11 to 20 of about 12,226 (126)

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

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 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

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

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

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

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

Fuzzy Inference System Mamdani dan the Mean Absolute Percentage Error (MAPE) untuk Prediksi Permintaan Dompet Pulsa pada XL Axiata Depok [PDF]

Jurnal Informatika Universitas Pamulang, 2017
Kemajuan perkembangan teknologi informasi pada era globalisasi sekarang ini sangat pesat; hal ini menuntut setiap perusahaan untuk dapat saling bersaing dalam dunia bisnis yang dinamis dan penuh persaingan. Pada proses manjaemen permintaan dompet pulsa di XL Axiata cabang Depok memerlukan peramalan yang cukup matang agar dompet pulsa yang diminta ...
openaire   +2 more sources

Polynomial Regression for Parameter Predictions of Planar Bandstop Filters Based on Matryoshka Geometry [PDF]

Journal of Microwaves, Optoelectronics and Electromagnetic Applications
In this work, polynomial regression was used for prediction of the first and second resonance frequencies, first and second cut-off frequencies at -3 dB of planar bandstop filters based on matryoshka geometry, considering the S21 curve and given certain ...
Marcus Estêvão Sousa Lopes, Valdemir Praxedes da Silva Neto   +1 more
doaj   +2 more sources

Assessment of the possibility of using data mining methods to predict sorption isotherms of selected organic compounds on activated carbon

E3S Web of Conferences, 2017
The paper analyses the use of four data mining methods (Support Vector Machines. Cascade Neural Networks. Random Forests and Boosted Trees) to predict sorption on activated carbons.
Dąbek Lidia, Szeląg Bartosz, Picheta-Oleś Anna   +2 more
doaj   +1 more source