Now showing items 21-40 of 71

    • Construct a customer database from PDF bank statements using Python programming and Microsoft SQL 

      Nandi, Bikash Kumar (Brac University, 2021-06)
      This report proposes a model of extracting customers' transactions information from pdf Bank Account Statement and stores result-set into a customer Microsoft SQL (MsSQL) database for further automated analysis. In ...
    • A deep face-mask detection model using DenseNet169 and image processing techniques 

      Bhowmik, Durjoy; Abdullah, Mohd.Rahat Bin; Islam, Mohammed Tanvirul (Brac University, 2022-01)
      The world stood still during the massive breakout of the Covid-19 worldwide. This massive outbreak of this contagious disease was occurred by being airborne. Not only COVID but also there are many other contagious disease ...
    • Deep learning-based real-time pothole detection for avoiding road accident 

      Basher, Rafsan; Ayon, Asif Raihan; Gharamy, Avijit; Zayed, Abdullah Al; Zaman, Md Samin Yeasar Ibna (Brac University, 2022-01)
      Bangladesh is a fast-developing country, and the number of roads increasing with it is immense. With the ever-growing amount of road comes the age-old problem of a pothole. This paper represents a model of deep learning-based, ...
    • 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 ...
    • Detection and recognition of Bangladeshi fishes using surf features and CNN classifier 

      Shuhin, Syed Adiba; Tajrin, Jannatul; Akhter, Afrin; Israth, Chowdhury (Brac University, 2018-07)
      This thesis proposes the detection and recognition of Bangladeshi local fishes using image processing. In the proposed model, we have successfully detected fishes using grass-fire algorithm along with other methods like ...
    • Detection of skin cancer using Convolutional neural network 

      Ahsan, Abu Sa-adat Mohamed Moon-Im Al; Alif, Shadman Monsur; Kibria, Junaid Bin; Gomes, Prince Elvis (Brac University, 2019-10)
      One of the most common and fatal cancer in the universe is skin cancer which arise from skin of epidermis, the topmost layer of the skin, it can happen anywhere in the body. We can find out the cancer by early detection. ...
    • 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 ...
    • FIR filter design using modified lanczos window function 

      Samad, Md. Abdus; Uddin, Jia; Ahmed, Md. Razu (© 2012 Advanced Materials Research, 2012)
      Attenuated side lobe peak in the range of around ~-45dB is required in many applications of signal processing and measurements. However, the problem is usual window based FIR filter design lies in its side lobes amplitudes ...
    • Geographic routing protocol in mobile ad-hoc networks for reliable FTP traffic communication 

      Uddin, Jia; Kim, Jongmyon (© 2014 International Information Institute Ltd., 2014)
      This paper investigates the performance of the Geographic Routing Protocol (GRP) in Mobile Ad-hoc Networks (MANETs) with respect to network configuration in terms of number of nodes and network area. We employ the File ...
    • 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 ...
    • High performance computing for large graphs of internet applications using GPU 

      Uddin, Jia; Oyekanlu, Emmanuuel; Kim, Cheol-Hong; Kim, Jong-Myon (© 2014 Science and Engineering Research Support Society, 2014)
      The high speed CPU based routers currently in use could not handle the massive data required for real-time multimedia communication. Graphics processing units (GPUs) offer an appreciable alternative due to high computation ...
    • 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 ...