[HTML][HTML] A comprehensive review on multiple hybrid deep learning approaches for stock prediction

J Shah, D Vaidya, M Shah - Intelligent Systems with Applications, 2022 - Elsevier
Numerous recent studies have attempted to create efficient mechanical trading systems
through the use of machine learning approaches for stock price estimation and portfolio …

Forecasting Indonesia exports using a hybrid model ARIMA-LSTM

E Dave, A Leonardo, M Jeanice, N Hanafiah - Procedia Computer Science, 2021 - Elsevier
Export is an important factor that keeps the economy of a country going. Local export
forecast guides government for a better policy making, local productivity measurement and …

LSTM with particle Swam optimization for sales forecasting

QQ He, C Wu, YW Si - Electronic Commerce Research and Applications, 2022 - Elsevier
Sales volume forecasting is of great significance to E-commerce companies. Accurate sales
forecasting enables managers to make reasonable resource allocation in advance. In this …

[HTML][HTML] Time series model for forecasting the number of new admission inpatients

L Zhou, P Zhao, D Wu, C Cheng, H Huang - BMC medical informatics and …, 2018 - Springer
Background Hospital crowding is a rising problem, effective predicting and detecting
managment can helpful to reduce crowding. Our team has successfully proposed a hybrid …

Usage of information technology and business analytics within sales and operations planning: a systematic literature review

FNP Nicolas, AMT Thomé… - Brazilian Journal of …, 2021 - bjopm.emnuvens.com.br
Goal: This paper aims to analyze to which extend the usage of information technology (IT)
and business analytics (BA) have been explored in the context of sales and operations …

A deep neural framework for sales forecasting in e-commerce

Y Qi, C Li, H Deng, M Cai, Y Qi, Y Deng - Proceedings of the 28th ACM …, 2019 - dl.acm.org
Product sales forecasting plays a fundamental role in enhancing timeliness of product
delivery in E-Commerce. Among many heterogeneous features relevant to sales forecasting …

[HTML][HTML] Time series modeling of pertussis incidence in China from 2004 to 2018 with a novel wavelet based SARIMA-NAR hybrid model

Y Wang, C Xu, Z Wang, S Zhang, Y Zhu, J Yuan - PloS one, 2018 - journals.plos.org
Background It is a daunting task to discontinue pertussis completely in China owing to its
growing increase in the incidence. While basic to any formulation of prevention and control …

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] Quality of Forecasts as the Factor Determining the Coordination of Logistics Processes by Logistic Operator

M Kramarz, M Kmiecik - Sustainability, 2022 - mdpi.com
(1) Background: Currently, logistics operators are struggling with the problem of acquiring
new areas to create added value. One of such challenges is acquiring a new function in the …

[HTML][HTML] Prediction of congenital heart disease for newborns: comparative analysis of Holt-Winters exponential smoothing and autoregressive integrated moving …

W Xu, Z Shao, H Lou, J Qi, J Zhu, D Li… - BMC medical research …, 2022 - Springer
Objective To describe the temporal trend of the number of new congenital heart disease
(CHD) cases among newborns in Jinhua from 2019 to 2020 and explored an appropriate …