Browsing by Author "Alam, Md. Ashraful"

Now showing items 61-71 of 71

    • Prediction of diabetes induced complications using different machine learning algorithms 

      Rahman, Tahsinur; Farzana, Sheikh Mastura; Khanom, Aniqa Zaida (BRAC University, 2018-08)
      Machine Learning is an ever expanding field of Artificial Intelligence which uses huge amount of data to develop algorithms that can detect patterns and systems. One such application of Machine Learning is developing ...

    • Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network 

      Ismail, Sayem Mohammad; Hossain, Md. Sajjad; Sobhan, Irina (Brac University, 2020-06)
      Transfer learning techniques in deep learning is nowadays a raising and promising field of research and a tool for Artificial Intelligence with a lot of prospects. Our goal is to predict Glaucoma from fundus images to help ...

    • Real time dynamic facial recognition of subject at motion using angular image 

      Tasneem, Sharah; Rahman, Ramisa Yashfi; Mansur, Ayman; Nowshad, MD. Meherab Hossain (Brac University, 2024-01)
      In the developing world keeping track of violations or implementing a secured environment has become crucial. In order to address such issues dynamic facial recognition could be developed in such a way that it can ...

    • Real time online multiplayer gaming framework using kinect sensors 

      Ahmed, Imtiaz; Shabab, Khondokar Sadman; Hossain, MD. Shahadat; Akand, MD.Tashauf; Majumder, Shovon (BRAC University, 2018-04)
      A real-time online multiplayer game framework is proposed and demonstrated. The proposed model is composed of multiple Microsoft Kinect sensors and Unity 3D game development tool. The motive is to make a real time multiplayer ...

    • Road sign detection and translation in Bangla using image processing and machine learning 

      Islam, Khalid Amirul; Mubin, Nadia Farha; Zaman, Saima (Brac University, 2019-08)
      For the drivers while driving, road signs play very important role but it is really challenging for the drivers' if they are not at home with the meanings of the signs. Driving is a process which is complex, continuous, ...

    • Solving university course scheduling problem using genetic algorithm and analyzing results with other algorithms 

      Alam, Md. Ashraful; Islam, Toushika; Joseph, Duke (BRAC University, 2015)
      A study on course timetabling problem which is a combinatorial optimization NP-hard problem. The aim of this thesis is to find optimal or near optimal solution of course scheduling for Computer Science and Engineering ...

    • Start up business solution using machine learning 

      Sohan, Saad Ahmed; Nakib, Ayman; Ahmed, Tanvir (BRAC University, 2018-04)
      In the present time data science and artificial intelligence is taking charge of every aspect in our life to make our lives more easy and comfortable. Machine learning is an approach to achieve artificial intelligence and ...

    • Text mining of news articles to detect violation of human rights 

      Mahmud, A M Saif; Ahmed, Talha; Hakim, Azrin; Sultana, Tanjida (BRAC University, 2018-12)
      Violation of people’s basic rights is a crime in almost every country in the world. However, many incidents in the real world gets passed unnoticed of legal attention. In this paper, we attempted to propose a model to ...

    • Traffic congestion detection and optimizing traffic flow using object detection, optical flow and fluid dynamics 

      Hossain, Md. Shahriyar; Bhuiyan, Md. Imtiaz; Dulali, Marjahan Akther (Brac University, 2022-01)
      Bangladesh has been suffering a severe traffic congestion issue ever since it has been on a high paced development roadmap. Researches regarding solving such traffic issue has been in the talks but has never reached a ...

    • Using deep learning algorithms to detect violent activities 

      Ammar, S.M. Rojin; Anjum, Md. Tanvir Rounak; Islam, Md. Touhidul Islam (BRAC University, 2019-05)
      It is of extensive importance to develop a technique for automatic surveillance video analysis to recognize the presence of violence. In this work, to identify violent videos, we put forward a deep neural network. For ...

    • Virtual reality simulation for motion sickness 

      Hossain, Maruf (Brac University, 2019-09)
      Motion sickness, sea sickness and flight sickness are some of the common phenomena are faced by many. However this type of sickness can be treated through regular encounters of different situations which trigger such ...