Now showing items 1-9 of 9

    • Analysis of financial data on the time series using data from the stock market 

      Shachcha, Ifad Bhuiyan; Siam, Muhammad Ziaus (Brac University, 2022-05)
      Predicting financial data is really important for investors Often times investors do not have a proper tool to properly assess the market and forecast their predictions. Furthermore, not only investors in modern day ...
    • Automatic detection of defective rail anchors 

      Khan, Rubayat Ahmed; Islam, Samiul; Biswas, Rubel (2014-11)
      Rail line anchors/fasteners are the metallic components that attach each line with the sleepers. These are essential rail components as absence of these often result in derailments. Therefore in order to prevent dangerous ...
    • Automatic measurement of rail line expansion joint gaps 

      Islam, Samiul; Khan, Rubayat Ahmed; Biswas, Rubel (© 2014 Institute of Electrical and Electronics Engineers Inc., 2015-03)
      Expansion joint gaps are the gaps which are deliberately left between the rail ends to allow for expansion of the rails in hot weather. Over gapping of these end to end gaps often result in derailments. Therefore in order ...
    • Clustering and detection of good and bad rail line anchors from images 

      Islam, Samiul; Khan, Rubayat Ahmed (© 2015 Institute of Electrical and Electronics Engineers Inc., 2016-06)
      Absence of railway anchors/fasteners is a serious concern as it might lead to severe consequences such as train derailments. Hence regular inspection is an obligation to ensure safety. The third world countries choose the ...
    • Comparative analysis of machine learning techniques in optimal site selection 

      Aurnab, Aukik; Choudhury, Shaktiman; Ruhan, Shoubhick Roy; Rifaiya Abrar, Shikh Muhammad; Hossain Rabbi, S.M. Riyadh (Brac University, 2023-01)
      Site selection is a crucial aspect of many businesses, as a company’s location can sig nificantly impact its success. In recent years, machine learning techniques have been increasingly used to assist with optimal site ...
    • A descriptive study on development of a transfer learning based fault detection model using 2D CNN for air compressors 

      Hasan, Moenul; Uddin, A.K.M. Faiyaz; Ghosh, Anoup (Brac University, 2021-06)
      Fault Detection is essential for the safe and efficient operation of industrial manufacturing. Successful detection of fault features allows us to maintain a stableproduc- tion line. Therefore, establishing a reliable and ...
    • Implementation of reinforcement learning architecture to augment an AI that can self-learn to play video games 

      Mahmud, Aqil; Khan, Aswat Karim; Hasan Rafi, Mohammad Mehdi; Fahim, Kazi Rayhan (Brac University, 2023-01)
      This paper is intended to be a practical guide in terms of getting up and running with reinforcement learning. Ideally, it aims to bridge the gap between practi cal implementation and the theories available for RL. The ...
    • Predicting crime using deep learning 

      Shihab, Muhammad Nafees; Chowdhury, Anupam; Mahmood, SK. Belayet (Brac University, 2017-12-24)
      Criminal activities are available in every region of the world influencing social life and financial improvement. As such, it is a major concern of numerous legislatures who are utilizing distinctive advanced innovation ...
    • Real-time fire detection based on feature analysis using enhanced color segmentation and novel foreground extraction 

      Khan, Rubayat Ahmed (Brac University, 2017-07)
      This research proposes two effective real time fire detection techniques, based on video processing. The former technique is restricted to indoor conditions only while the later does not have such constraints. Both the ...