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Application of the Use of Time Series Models: Tropospheric Nitrogen Dioxide (NO2) in Different Meteorological Systems in Two Districts of the City of Lima
(Seventh Sense Research Group, 2023)
Acceso abierto
This research will address air pollution, a severe problem in all world cities, because it negatively affects people's health and deteriorates the ecosystem. NO2 is a gas linked to acid rain formation and various reactions ...
Minimization of Smashed Products in Sustenance Industries by Lean and Machine Learning Tools
(Seventh Sense Research Group, 2023)
Acceso abierto
This study focuses on developing a solution to one of the main problems in the food sector, product deterioration, often due to poor inventory management, low turnover, and lack of shelf-life control, among other causes. ...
Improving Demand Forecasting by Implementing Machine Learning in Poultry Production Company
(Seventh Sense Research Group, 2023)
Acceso abierto
The use of manual methods to forecast demand in perishable food companies is generally subject to the variability of internal and external factors in the company, causing excess inventories and significant monetary losses, ...
Improving Demand Analysis and Supply Chain Management for Hair Products During the COVID-19 Pandemic: A Machine Learning Approach
(Seventh Sense Research Group, 2023)
Acceso abierto
This research analyzes the demand for hair care products during the COVID-19 pandemic. Two forecasting models, Arima and Sarima, based on Machine Learning technology, were proposed to improve data analysis and supply chain ...