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Now showing items 11-20 of 21
Applying machine learning in forecasting hotel booking cancelations
(2022)
Demand forecasting is vital to the tourism and hospitality industry because it helps the hotels' revenue
management process to be controlled more effectively. However, Booking Cancellations usually
significantly affect ...
Machine learning in inorganic waste classification
(2022)
Waste classification and processing are important issues in promoting a more
sustainable economy and friendly living environment. Smart technology
applications could change how waste could be handled and recycled to ...
Applying Machine Learning For Demand Forecasting And Linear Programming For Aggregate Production Planning
(2022)
Demand forecasting is, without a doubt, the most crucial aspect of any company's supply
chain. Especially, the new century of big data gathered from complicated customer
behaviors, as well as severe competition among ...
Rolling Bearing Diagnosis Using Machine Learning
(2022)
Rolling bearing fault is one of the most common failures that leads to rotating
equipment’s shutting down. Within this fact, researchers have always considered rolling
bearing faults diagnosis and therefore, the topic ...
Estimating occupancy in residential building by machine learning
(2022)
The development of indoor environments for humans consumes a lot of energy. As such,
an accurate occupancy prediction model is crucial for increasing the effectiveness of
energy simulation and occupant-centric building ...
Forecasting impacts of covid-19 on Vietnam industrial sector: Machine learning approach
(2022)
The objective of this study is to propose one or multiple good performance time-series
forecasting models to forecast the Industrial Production Index (IPI) value of Vietnam in the
short and medium term under the conditions ...
Orders Group Problem In E-Fulfillment With Machine Learning: A Case Study At Nhat Tin Logistics
(2022)
Online shopping is significantly increasing at a high rate, especially after the SARS
COVID pandemic. Nhat Tin Logistics has a fulfillment warehouse located in District
12, which is, processed to fulfill the goods to ...
Applying machine learning in demand forecasting: A case study of suntory pepsico's project with YCH protrade Vietnam
(2022)
Demand forecasting is an important activity that is necessary for the Sales and Operation Planning
(S&OP), which is a popular integrated business management technique utilized by many
organizations. A case study of project ...
Application Of Machine Learning And Metaheuristic On Demand And Supply Planning Subject To Risks
(2022)
One of the most important steps that determines the overall performance of the supply
chain is Planning, which includes demand planning and supply planning. In particular,
the new century's big data, which is derived ...
Sale forecasting in e-commerce using machine learning methods
(2022)
In recent years, there has been an increasing interest in the field of E-commerce and the
predictions for its sale forecast. Future prediction is the process of making number forecasts
which mainly bases on the historical ...