A hybrid seasonal autoregressive integrated moving average and quantile regression for daily food sales forecasting
In the retail stage of a food supply chain, food waste and stock-outs occur mainly due to
inaccurate forecasting of sales which leads to incorrect ordering of products. The time series …
inaccurate forecasting of sales which leads to incorrect ordering of products. The time series …
A methodology based on Deep Learning for advert value calculation in CPM, CPC and CPA networks
In this research, we propose a methodology for advert value calculation in CPM, CPC and
CPA networks. Accurately estimating this value increases the three previous networks' …
CPA networks. Accurately estimating this value increases the three previous networks' …
Oral-care goods sales forecasting using artificial neural network model
Supply Chain consists of various components like supplier, manufacturer, factories,
warehouses, distribution agents, customers, etc. Supply Chain Management encompasses …
warehouses, distribution agents, customers, etc. Supply Chain Management encompasses …
Forecasting Infant Mortality Rate using Exponential Smoothing and Moving Averages Techniques
UY Madaki, UC Adamu, AA Muhammad… - Gadau Journal of Pure …, 2023 - gadaufos.com
Abstract Infant Mortality Rates (IMR) are important indicators of health status of any country.
This research presents Time Series Analysis using Exponential Smoothing and Moving …
This research presents Time Series Analysis using Exponential Smoothing and Moving …
Performance evaluation of ANN and neuro-fuzzy system in business forecasting
S Rajab, V Sharma - 2015 2nd international conference on …, 2015 - ieeexplore.ieee.org
In recent years, Artificial intelligence based algorithms are being widely used as prediction
models in different domains. However, the suitability and performance of a particular …
models in different domains. However, the suitability and performance of a particular …
Comparison of Spatial Weight Matrices in Spatial Autoregressive Model: Case Study of Intangible Cultural Heritage in Indonesia
Abstract Intangible Cultural Heritage (ICH) can effectively contribute to Sustainable
Development Goals (SDGs) in all economic, social, and environmental dimensions, along …
Development Goals (SDGs) in all economic, social, and environmental dimensions, along …
Ensemble stock market prediction using svm, lstm, and linear regression
Stock forecasting is challenging because of stock volatility and dependability on external
factors, such as economic, social, and political factors. This motivates investors to seek tools …
factors, such as economic, social, and political factors. This motivates investors to seek tools …
Design and Develop Data Analysis and Forecasting of the Sales Using Machine Learning
V Kadam, S Vhatkar - … Computing and Networking: Proceedings of IC-ICN …, 2022 - Springer
Abstract Data Analysis and Forecasting on Supermarket Sales Transactions is a proposed
system which focus on the betterment of the sales in the business. The whole proposed …
system which focus on the betterment of the sales in the business. The whole proposed …
Check for updates Impact of Covid-19 Pandemic on Demand and Demand Forecasting in a Furniture Wholesale Company
Accurate demand forecasting plays a critical role in most furniture businesses' operational,
tactical, and strategic decisions, as the demand in the furniture business is considered …
tactical, and strategic decisions, as the demand in the furniture business is considered …
[PDF][PDF] Integrating artificial neural network with machine learning in forecasting problem domain
M Sahu - International Journal of Recent Research Aspects, 2015 - academia.edu
Fires in forest area is a major area of concern today because it is a major environmental
issue as well as creating economic and ecological damage and also endangering humans …
issue as well as creating economic and ecological damage and also endangering humans …