Autoregressive models in environmental forecasting time series: a theoretical and application review

J Kaur, KS Parmar, S Singh - Environmental Science and Pollution …, 2023 - Springer
Though globalization, industrialization, and urbanization have escalated the economic
growth of nations, these activities have played foul on the environment. Better understanding …

A smart system for short-term price prediction using time series models

HV Nguyen, MA Naeem, N Wichitaksorn… - Computers & Electrical …, 2019 - Elsevier
The primary goal of this paper is to develop a smart system for short-term price prediction for
various products using time series models. The system includes a series of processes, eg …

[HTML][HTML] Shipment policy and its impact on coordination of a fashion supply chain under production uncertainty

S Alom, S Basu, P Basu, R Joshi - Transportation Research Part E: Logistics …, 2024 - Elsevier
The fashion industry grapples with volatile demand, characterized by two short-selling
sessions, creating an avenue for a fashion firm to receive items through single or dual …

Multilayer Perceptron untuk Prediksi Sessions pada Sebuah Website Journal Elektronik

AP Wibawa, W Lestari, ABP Utama… - … Journal of Data and …, 2020 - jurnal.yoctobrain.org
Peramalan session website journal dilakukan untuk pendukung pengambilan keputusan
dalam rangka meningkatkan kualitas dan nilai akreditasi pada website jurnal. Data sessions …

Predictive Hybridization Model integrating Modified Genetic Algorithm (MGA) and C4. 5

JCM Bustillo, RP Medina, AM Sison… - 2022 6th International …, 2022 - ieeexplore.ieee.org
Numerous enhancements of prediction models through hybridization and combining various
machine learning to increase the prediction model's performance are still an ongoing …

The forecasting of the exports and imports of paper and paper products of Turkey using Box-Jenkins method

N Ersen, İ Akyüz, BÇ Bayram - Eurasian Journal of Forest Science, 2019 - dergipark.org.tr
In this study, it is aimed to determine the most suitable time series models with Box-Jenkins
method, which is the most widely used in prediction studies. Export and import values have …

[PDF][PDF] High performance time series models using auto autoregressive integrated moving average

RA Al-Qazzaz, SA Yousif - Indones. J. Electr. Eng. Comput. Sci, 2022 - academia.edu
Forecasting techniques have received considerable interest from both researchers and
academics because of the unique characteristics of businesses and their influence on …

Operative production planning utilising quantitative forecasting and Monte Carlo simulations

J Fabianova, P Kacmary, J Janekova - Open Engineering, 2019 - degruyter.com
Demand forecasting is very often used in production planning, especially, when a
manufacturer needs in a longer production cycle to respond flexibly to market demands …

Implementation of autoregressive integrated moving average model to forecast raw material stock in the digital printing industry

DA Verano, H Husnawati, E Ermatita - Journal of Information …, 2020 - jitecs.ub.ac.id
The technology used in the printing industry is currently growing rapidly. Generally, the
digital printing industry uses raw materials in the form of paper production. The use of paper …

Forecasting of the number of schizophrenia disorder by using the Box-Jenkins of time series analysis

SP Humaira, I Nursuprianah… - Journal of Robotics and …, 2020 - journal.umy.ac.id
Schizophrenia is a mental disorder with a complex brain disorder that causes sufferers not to
be able to distinguish between reality and imagination. This study aims to determine the …