Search
Now showing items 1-10 of 16
Application of machine learning in machine failure prediction
(2022)
Maximizing the life of machine is one of a manufacturer's key concerns. Machine
failures might result in production line interruptions and expensive repairs. Therefore,
manufacturing industries need solutions to save ...
Predictive models for equipment fault detection: Application in semiconductor industry
(2022)
Predictive Maintenance (PdM) in manufacturing using Machine Learning (ML)
techniques has been received much attention of many researchers and practitioners in
recent years especially for capital-intensive industry such ...
Machine Learning Application: Personalized Venues Recommendation Model
(2022)
With the development of smart devices and the convenient of social media platform, people
are now more open in sharing their photos while traveling. Geo-tagged data from these
photos and user’s additional multisource ...
Machine learning application in order clustering
(2022)
In this thesis, there is an implementation of an ecommerce platform case study solved with
thousands of orders per day. However, orders are controlled by human and there is no involment
of techniques to handle order ...
Apply Machine Learning In Sales Prediction And Aggregate Planning: A Case Study Of The Automobile Industry
(2022)
Nowadays, sales of the automobile industry the in Vietnam market have grown exponentially over
the years. Therefore, the demand for car products is also increasing over time, this requires a timely
response from suppliers. ...
Application of machine learning in moisture content prediction of coffee drying process
(2022)
Humidity prediction is not only the key success factor in maintaining product quality
and shelf life but also an opportunity to save energy and steam in drying technology.
The purpose of this thesis is to determine the ...
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 ...