Now showing items 1-10 of 10

    • An analysis of word sense disambiguation in Bangla and English using supervised learning and a deep neural network classifier 

      Pasha, Maroof Ur Rahman (BRAC University, 2015-08)
      Word sense disambiguation is a significant task in natural language processing and addresses an old problem in the field of computational linguistics. Word sense disambiguation facilitates tasks like machine translation, ...
    • Bangla text classification using machine learning and deep learning techniques 

      Salehin, Kamrus; Ahmed, Fahim; Nabi, Md. Ashifun; Alam, M. Kaosar (Brac University, 2021-09)
      At present, we have seen everything is getting digitized where technology almost takes full control over our life. As a result, a massive number of textual documents are generated on online platforms and news articles ...
    • Brain image fMRI data classification and graphical representation of visual object 

      Tasneem, Nazifa Afroza; Tithi, Indrani Datta; Shuchi, Ummay Sadia Khanum (Brac University, 2018-12)
      Analyzing neuroimaging data has become a research of interest these days because of their several applications starting from analysis of brain region connectivity to analysis of ventral streams and visual stimuli. In ...
    • Cassava leaf disease classification using deep learning and convolutional neural network ensemble 

      Shahriar, Hasan; Shuvo, Protick Sarker; Fahim, Md. Saidul Haque; Sordar, Md Sobuj; Haque, Md Esadul (Brac University, 2022-01)
      Cassava is a high-protein and nutrient-dense plant, notably inside the leaves. Cassava is often used as a rice alternative. Pests, viruses, bacteria, and fungus may cause a variety of illnesses on cassava leaves. This ...
    • 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 ...
    • Deepfake detection using neural networks 

      Sakib, Sadman; Abid, Mir Tarid Al; Tiana, Nures Saba; Asha, Wajida Anwar; Huq, Syed Mahbubul (Brac University, 2021-09)
      Deepfake is a sort of arti cial intelligence that forge original image or video and create persuading images, audio and video hoaxes by utilizing two contending AI algorithms-the generator and discriminator that form a ...
    • A machine learning approach to detect DeepFake videos 

      Hassan, Md. Mahedi; Nawrin, Na sha (Brac University, 2021-06)
      DeepFake detection is important as the internet is a big part of our lives. DeepFake photos and videos can easily mislead us into thinking something that probably did not happen. It can also reduce trust in the media. ...
    • Performance analysis of machine learning classi ers for detecting PE malware 

      Azmee, ABM.Adnan; Choudhury, Pranto Protim; Alam, Md.Aosaful; Dutta, Orko (Brac University, 2019-12)
      In this modern era of technology, securing and protecting one's data has been a major concern and needs to be focused on. Malware is a program that is designed to cause harm and malware analysis is one of the paramount ...
    • 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 ...
    • Predicting regional accents of Bengali language using deep learning 

      Ibrahim, Md. Abu; Nayeem, Md. Nawaz-S-Salekeen; Al Arabi, Sadaf (Brac University, 2021-09)
      Accent is a huge challenge in communication for all languages. Different people who speak the same language might pronounce the same word differently. In a conversation, if two people are from different regions and they ...