Results 31 to 40 of about 42,250 (218)

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

Penerapan Adaptive Neuro-Fuzzy Inference System untuk Prediksi Nilai Tukar Rupiah

Jurnal Masyarakat Informatika, 2019
Salah satu indikator penting dalam perekonomian suatu negara adalah nilai tukar dari mata uang, dimana majunya suatu negara dapat ditentukan oleh kekuatan nilai mata uang negara tersebut.
Sanggam Andreas Harahap, Sukmawati Nur Endah   +1 more
doaj   +1 more source

A Comparison of Models for Estimating Solar Radiation from Sunshine Duration in Croatia

International Journal of Photoenergy, 2020
The performance of seventeen sunshine-duration-based models has been assessed using data from seven meteorological stations in Croatia. Conventional statistical indicators are used as numerical indicators of the model performance: mean absolute ...
Tihomir Betti, Ivana Zulim, Slavica Brkić, Blanka Tuka   +3 more
doaj   +1 more source

A novel long-term water absorption and thickness swelling deep learning forecast method for corn husk fiber-polypropylene composite

Case Studies in Construction Materials, 2022
Investigating long-term water absorption (WA) and thickness swelling (TS) behaviors of wood plastic composites demand long working hours and high laboratory costs.
Ehsan Yousefi, Mostafa Barzegar Shiri, Mohammad Amin Rezaei, Sajad Rezaei, Shahab S. Band, Amir Mosavi   +5 more
doaj   +1 more source

Pemodelan Poisson Hidden Markov Untuk Prediksi Banyaknya Kecelakaan Di Jalan Tol Jakarta-cikampek [PDF]

, 2016
Model Poisson hidden Markov digunakan untuk memodelkan banyaknya kecelakaan yang terjadi di jalan tol Jakarta-Cikampek pada tahun 2013- 2014. Data banyaknya kecelakaan merupakan barisan observasi yang mengalami overdispersi dan bergantung pada penyebab ...
BUKHARI, F. (F), NURHASANAH, N. (N), SETIAWATY, B. (B)   +2 more
core   +2 more sources

Comparison of Forecasting Performance of ARIMA LSTM and HYBRID Models for The Sales Volume Budget of a Manufacturing Enterprise

Istanbul Business Research, 2021
This study aims to create a monthly sales quantity budget by making use of the previous income data of an enterprise operating within the construction sector, which is considered the locomotive of the economy.
Ayşe Soy Temür, Şule Yıldız
doaj   +1 more source

A smart headband for multimodal physiological monitoring in human exercises

Advanced Science, EarlyView.
A novel smart headband incorporating a thermal‐sensation‐based electronic skin is presented for continuous and accurate multimodal physiological monitoring, including pulse waveforms, total metabolic energy expenditure, heart rate, and forehead temperature, across both static and dynamic daily activities.
Shiqiang Liu, Guanxing Chen, Jingyi Peng, Shuo Tian, Qian Mao, Caise Wei, Jinfeng Yuan, Rong Zhu   +7 more
wiley   +1 more source

A Comparative Study of Regression Analysis and Artificial Neural Network Methods for Medium-Term Load Forecasting [PDF]

, 2017
Load forecasting is an operation of predicting the future of load demands in electrical systems using previous or historical data. This paper reports the study on a medium-term load forecast carried out with load demand data set obtained from Covenant ...
Adetiba, E., Felly-Njoku, Firstlady C., Odigwe, I. A., Samuel, I. A.   +3 more
core   +1 more source

Volatility analysis and forecasting of vegetable prices using an ARMA‐GARCH model: An application of the CF filter and seasonal adjustment method to Korean green onions

Agribusiness, EarlyView.
Abstract The vegetable market experiences significant price fluctuations due to the complex interplay of trend, cyclical, seasonal, and irregular factors. This study takes Korean green onions as an example and employs the Christiano–Fitzgerald filter and the CensusX‐13 seasonal adjustment methods to decompose its price into four components: trend ...
Yiyang Qiao, Byeong‐il Ahn
wiley   +1 more source

New adjusted missing value imputation in multiple regression with simple random sampling and rank set sampling methods.

PLoS ONE
This research compared the efficiency of several adjusted missing value imputation methods in multiple regression analysis. The four imputation methods were the following: regression-ratio quartile1,3 (R-RQ1,3) imputation of Al-Omari, Jemain and Ibrahim;
Juthaphorn Sinsomboonthong, Saichon Sinsomboonthong   +1 more
doaj   +1 more source