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Forecasting cryptocurrency by using machine learning
(International University - HCMC, 2019)
Over the last couple of years, Bitcoin cryptocurrency and the Blockchain technology that forms the basis of Bitcoin have witnessed a flood of attention. In contrast to fiat currencies used worldwide, the Bitcoin distributed ...
Applying Feature Selection To Enhance Neural Network Performance: A Case Study Of Mango Leaves' Diseases Recognition
(2020-08)
Today, Deep Learning (DL) has transformed many major industries. Agriculture is one
field where DL scientists and researchers are working with farmers to help them utilize
the shrinking resources due to urbanization. ...
An Analysis Of Vocal Features For Parkinson's Disease Classification
(2021)
Parkinson's Disease is no longer a strange concept when addressing neurological
condition that specifically causes uncontrollable movements. According to estimation,
roughly ten million individuals worldwide have had or ...
Applying Stacked Machine Learning Model In Predicting Equipment Failures- A Bosch Company Case Study
(2020)
Bosch is a global company which pervades in over 60 countries around the world. Its operations
are divided into four business sectors: Mobility Solutions, Industrial Technology, Consumer
Goods and Energy and Building ...
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 ...