Browsing Thesis & Report, BSc (Computer Science and Engineering) by Author "Uddin, Jia"

Now showing items 21-40 of 52

    • Drone detection by neural network using SURF feature and GLCM method 

      Ahmed, Tanzia; Roy, Bir Ballav; Rahman, Tanvir (BRAC University, 2018-04)
      This presents a drone detection method using image processing. In the proposed model, a hybrid feature extraction method using SURF and GLCM is utilized. As a machine learning tool, we use a neural network for pattern ...

    • Early fire detection using enhanced optical flow analysis technique 

      Khondaker, Arnisha; Khandaker, Arman (BRAC University, 2018-04)
      This paper proposes a multi-stage fire detection model that consists of chromatic segmentation, shape analysis and differential optical flow estimation. At the initial phase, color segmentation is carried out which takes ...

    • An efficient way to convert 1D signal to 2D digital image using energy values 

      Azad, Muntasir; Khaled, Faiyaz; Rumman, Md. Rakib Hasan (BRAC University, 2018-04)
      Image processing and feature extraction techniques are mandatory for any image based application. Basically, major goals of texture research in computer vision are to understand, model and process texture and ultimately ...

    • Emotion recognition using brian signals based on time-frequency analysis and supervised learning algorithm 

      Hossain, Prommy Sultana Ferdawoos; Shaikat, Istiaque Mannafee; George, Fabian Parsia (BRAC University, 2018-04)
      Over the years many groundbreaking research involving Brain Computer Interface (BCI), has been conducted in order to study emotions of human beings, to build better-quality human-machine interaction systems. On the other ...

    • Extractive text summarization using Fuzzy-c-means clustering 

      Gani, Shafiul (BRAC University, 2018-12)
      Keeping track of the precise information from a large volume of text is an arduous task for human. Test summarization process has become one of the significant research areas for years owing to cope up with the astounding ...

    • Handwritten character recognition and prediction of age, gender and handedness using machine learning 

      Al Emran, Md.; Naief, S. M.; Hossain, Md. Shimul (BRAC University, 2018)
      Handwritten character recognition and prediction of age, gender & handedness from handwritten documents offers an interesting research problem for researchers as few research carried out on this field. The aim of this ...

    • Handwritten character recognition using neural network 

      Hussain, Shoumin Rafsun; Nelema, Mahima Noor; Kabir, Fahim M; Patwary, Mohammad Rasheduzzaman (Brac University, 2020-04)
      Handwritten character recognition is a process of a system to access handwritten material from various sources such as paper records, photographs, touch screen apps, etc. The identification of handwritten and electronic ...

    • Heartbeat sound feature extraction and classification 

      Bibrity, Fariha Chowdhury; Jahan, Farhana; Khan, Md. Shahriar (Brac University, 2019-12)
      Heart diseases has ranked top as the cause of death globally. The harsh truth is, in this time it is hard to get proper medical treatment in proper time and still it is costly. Now the only light of hope is coming from ...

    • A hybrid fake banknote detection model using OCR, face recognition and hough features 

      Zarin, Adiba; Tasnim, Ummay; Jahan, Israt (BRAC University, 2018-08)
      Currency duplication is now a common occurrence due to the advancement of printing and scanning technology. Many note detection systems are present in banks but they are very costly. In this paper, we are proposing an ...

    • Improve computational complexity of sobel edge detection using parallel contract anytime algorithm 

      Hossain, Md. Kamal; Ibtehaz, Md. Asif; Ashique, Md. Assaduzzaman (BRAC University, 2016-04)
      Edge detection is a considerably important factor in image or video processing. Detecting the edges of an image play a significant role in image segmentation, data compression, well matching, and image reconstruction. There ...

    • An intelligent hexapod rescue robot 

      Khandaker, Shaker Mahmud; Acharjee, Ratul (BRAC University, 2018-04)
      This report proposes a survivor robot model inspired by the physique of a spider which can be used in the cases of search and rescue operations. Multiple walking algorithms have been tested on the robot and have been ...

    • Monitoring of endangered fish using image processing and AI tools 

      Hossain, Naheen; Habib, Ahsan; Plabon, Tasharif Mehedi (Brac University, 2018-12)
      Marine life constitutes half of earth’s total biodiversity. But preservation and monitoring of them efficiently face setbacks largely due to technological limitations and economic reasons. Technological challenges include ...

    • Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet 

      Promita, Samanta Tabassum; Biswas, Simon Abhijet; Mozumder, Nisat Islam; Taharat, Mamur (Brac University, 2022-01)
      Due to our unhealthy diets and the consumption of enhanced cholesterol in our daily lives, our health has become vulnerable and at risk of different types of cardiac diseases. The most common of them is Myocardial ...

    • A new pattern recognition method for abnormal event detection in crowded scenarios 

      Mostafa, Tahjid Ashfaque (BRAC University, 4/18/2017)
      We propose an autonomous video surveillance system which analyzes surveillance footages of extremely crowded scenes and detects abnormal events. For any particular scenario, any event that diverts from the usual pattern ...

    • A novel approach to forecast traffic congestion using CMTF and machine learning 

      Chowdhury, Md. Mohiuddin; Hasan, Mahmudul; Safait, Saimoom (BRAC University, 2018-04)
      Traffic congestion severely affects many cities around the world causing various problems like fuel wastage, increased stress levels, delayed deliveries and monetary losses. Therefore, it is urgent to make an accurate ...

    • A novel parallel feature extraction method using HGAPSO and GLCO based SFTA 

      Hasan, Md. Junayed; Khan, Nazmul Kabir; Hridi, Navila Alam; Ontora, Fariha Tahsin (BRAC University, 2016-04)
      Content based visual information retrieval system (CBVIR) is an important system to know the information of the images. Image is much more powerful than a document because it can say a lot more than a document itself. ...

    • Personal information from Bangla speech signal using MFCC and GMM 

      Hridy, Maisha Munawara; Hasan, Md. Hasib; Emon, Mahfuz Al (Brac University, 2019-08)
      Our system extracts personal information from bangla speech. Dataset that was used consists real-life voice inputs from di erent age and gender groups. A set of Bengali speech samples from YouTube were used as input ...

    • Plant disease diagnosis using deep transfer learning architectures- VGG19, MobileNetV2 and Inception-V3 

      Kobra, Khadija-Tul; Suham, Rahmatul Rashid; Fairooz, Maisha (Brac University, 2022-05)
      The importance of a tree’s involvement in human life and the environment cannot be overstated. Plants, like humans and animals, are susceptible to disease. Many vegetation diseases might impair a plant’s healthy development. ...

    • Predicting criminal activities analyzing video signal using machine learning 

      Sadman, Syed Md.; Kabir, Tabassum; Mostafa, Nairita; Chowdhury, Ahmed Ashik (Brac University, 2020-04)
      Criminology is a method that is used to perceive wrongdoing and criminal qualities. The crooks and the wrongdoing occasion likelihood can be overviewed with the help of criminology frameworks. Video analysis and machine ...

    • Preserving heritage sites of Dhaka City using 3D modeling and virtual reality technology 

      Islam, Raisa; Ahmed, Salsabil; Himalay, Sadman Shawmik (BRAC University, 2018-07)
      This thesis presents a model that is aimed at preserving heritage sites of Dhaka by implementing 3D modeling and Virtual Reality technologies. The proposed model consists of reconstructed 3D models of historical establishments, ...