Browsing Bachelor Thesis - Industrial and Systems Engineering by Subject "Machine learning"
Now showing items 1-20 of 21
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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 ... -
An Application Of Advanced Big Data Analytics For Analyze Customer Transaction Behaviour: A Case Study Of Grab Express Vietnam
(2023-01)Big data analytics (BDA) is gaining increasing attention in supply chain management (SCM) due to its various applications, such as analyzing customer behavior, identifying trends, and predicting demand. For this, as a ... -
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 ... -
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 ... -
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 ... -
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. ... -
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. ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 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 ... -
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 ... -
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 ... -
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 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 ... -
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 ... -
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 ... -
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 ...