Now showing items 1-7 of 7

    • An approach to detect epileptic seizure using XAI and machine learning 

      Bijoy, Emam Hasan; Rahman, Md. Hasibur; Ahmed, Sabbir; Laskor, Md. Shifat (Brac University, 2022-05)
      One of the most common neurological disorder in health sector is Epileptic Seizure (ES) which is occurred by sudden repeated seizures. Hitherto more than 50 million people in the whole world are suffering from Epileptic ...
    • Bangla sign language recognition using leap motion sensor 

      Tan, Tamkin Mahmud; Mondol, Anna Mary; Nawal, Noshin; Ahmed, Sabbir (Brac University, 2019-08)
      Sign language is used by hearing and speech impaired people to transmit their messages to other people but it is difficult for a regular people to understand this gesture based language. Instantaneous responses on sign ...
    • Consumer perception about Western Brands in Bangladesh 

      Ahmed, Sabbir (BRAC University, 2014-09-20)
      Over the years, brand promotional strategies and advertising techniques have changed radically; mostly to cope with the changes in how consumers view and perceive things and to stand out in the clutter of today’s advertising ...
    • Isolated bangla handwritten character & digit recognition using convolutional neural network 

      Alif, Mujadded Al Rabbani; Ahmed, Sabbir; Aninda, Aleo; Das, Tanoy Kumar (BRAC University, 2017)
      This paper proposes a mechanism of Handwritten Letter and Digit Recognition (HLDR) to decipher images of Bangla handwritten characters into electronically editable format, which holds an important role in augmenting and ...
    • Literature survey of automatic face recognition system and eigenface based implementation 

      Ferdous, Shariful Islam; Ahmed, Sabbir (BRAC University, 2008-08)
      There are three fundamental grounds for me to write this survey paper: the first is to provide an uptodate review of the existing literature, and the second is to reveal some technical term that how a Computer can ...
    • Outdoor performance analysis and prediction of photovoltaic modules using machine learning algorithm 

      Islam, Md. Kamrul; Shawon, Md. Mehedi Hasan; Akter, Sumaiya; Ahmed, Sabbir (Brac University, 2020-06)
      The objective of this study is to inspect the performance of the photovoltaic (PV) modules in different environmental conditions and to apply a machine learning algorithm for prediction analysis. Photovoltaic modules are ...
    • Visual object recognition using deep convolutional neural network 

      Ahmed, Sabbir (BRAC University, 2017)
      Visual object recognition has been lying at the convergence point between machine learning, computer vision and AI since the very beginning. From robotics to information retrieval, many desired applications demand the ...