Abstract:
Machine learning is a subfield of Artificial Intelligence (AI). Its goal is to make sense of a particular group of data and convert them into models that can be utilized by machine and man. The important aspect of Machine Learning is this: given that it is properly executed, a system aided by machine learning will be able to re-define its parameters of consideration and update its mode of action with minimal human interaction with continued accumulation of case data. This aspect of it makes it very suitable for optimization projects, including those related to Mechanical Engineering. In this thesis, an investigation was carried out to assess the prospects of utilizing Machine Learning applications as a comprehensive analytical tool in the research activities by the Islamic University of Technology’s Mechanical and Chemical Department (IUT-MCE). It aimed to do so by conducting a project using Machine Learning and assessing the progress of said report to determine the possibilities of inducting the practice of utilizing Machine Learning applications in IUT-MCE and provide a possible route in order to make such an induction possible.
The results of the thesis show that while Machine Learning applications do have a potential to enhance the research capabilities of IUT-MCE, there is a need for extensive investment in the avenue with an expected delay of useful outcome by 5-6 years depending on the specific area of research. Nevertheless, the writers feel confident that utilizing Machine Learning applications will be worth the investment considering the benefits it is likely to bring.
