Now showing items 331-350 of 1416

    • Cosmic super string detection using dilated convolutional neural network with focal loss 

      Ishrak, Mohammed Hasin (BRAC University, 2018)
      Cosmic string are objects of great importance and investigation for cosmic string has been done from last 20 years. There are a lot of models to detect cosmic string.But a very few are to detect the location of cosmic ...
    • A counseling system to predict the study path for freshmen 

      Usha, Rowshni Tasneem; Parvez, Shiny Raisa; Sejuti, Fariha Sazid; Hossain, Maisha (BRAC University, 2019-04)
      Now a days, dilemma related to one's career has been considered as a serious issue, specially among fresh graduates. Starting at the age of 18, the students usually fail to grasp the idea of which career path to pursue ...
    • Covid-19 infected lung detection using machine learning 

      Islam, Md. Muntaha; Afiat, Mashfurah; Biswas, Adrita; Syffullah, Md Khalid; Rishan, Asadur Rahman (Brac University, 2021-01)
      In every 100 years, there has been a pandemic all around the world. The globe faced Plague, Cholera, and Spanish Flu in the years 1720, 1820, and 1920, respectively. Coronavirus, commonly known as Covid-19, is currently ...
    • COVID-19 related fake news detection model 

      Shondhy, Sumaiya Islam; Khan, Forhad Ahmed; Ibrahim, Syed Shoaib; Barua, Shuvajit (Brac University, 2021-01)
      In this era of developed information and technology, any sort of information runs faster than air. The reliability of the information can be tricky at times. Some news publishing sources can publish news that are actually ...
    • Creating a new Cryptographic algorithm using Collatz Conjecture 

      Rasheed, Shoumya Shuprabho; Remon, Rakibul Hasan; Labib, Monwar (Brac University, 2022-09)
      Owing to the increasing need for the security of information and data access, due to the steep increase in the rate at which there are more methods of breaking the existing algorithms, which primarily rely on a prime ...
    • A credible, automated e-voting system in the context of Bangladesh 

      Sharif, Fairouz; Al Faiyaz, Abdulla (BRAC University, 2018)
      Elections are believed to be the best possible way to live in democratic era and voting is one of the electoral processes that ensures the alignment of democracy in our society. In this thesis, we propose an electronic ...
    • Credit card fraud detection using machine learning techniques 

      Kabir, Tasmia; Nishat, Tahnin; Tory, Saria Bulbul (Brac University, 2021-09)
      The extensive use of the internet is perpetually drifting businesses to incorporate their administrations in the online environment. As a result of the development of e-commerce websites, people and monetary corporations ...
    • Crime mapping through digital data analysis from intermediate repository by crowd sourcing 

      Aunamika, Sabiha Islam; TIthi, Samrin Sultana; Dev, Prema (BRAC University, 2016-12)
      Crowed-sourcing operationalizes swarm insight, and it is an instrument for utilizing the aggregate knowledge of online clients toward beneficial finishes. Crime map is an instrument that visualizes crime information based ...
    • Crime scene prediction by detecting threatening objects using convolutional neural network 

      Nakib, Mohammad; Khan, Rozin Tanvir; Hasan, Md. Sakibul (BRAC University, 4/13/2017)
      Crime scene prediction without human intervention can have outstanding impact on computer vision. In this paper, we present CNN in the use of detect knife, blood and gun in order to reach a prediction whether a crime has ...
    • Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning 

      Datta, Pranab; Islam, Saniul; Das, Retuparna; Zabir, Mihiran Uddin (Brac University, 2021-01)
      Retinal disease diagnosis by machine learning can be achieved using Deep Neural Network based predictors. Use of Explainable Artificial Intelligence (XAI) has the potential to explain the black box of those neural network ...
    • Crop monitoring system using image processing and environmental data 

      Rabbi, Shadman; Shabik, Ahnaf (BRAC University, 2018)
      We propose advanced crop monitoring system using image processing from environmental data for faster and better yield of agriculture. In the system, we have used colour segmentation and binary masking to analyse and ...
    • Crop prediction based on geographical and climatic data using machine learning and deep learning 

      Alif, Al Amin; Shukanya, Israt Farhana; Afee, Tasnia Nobi (BRAC University, 2018-12)
      Agriculture is the basic source of food supply in all the countries of the world—whether underdeveloped, developing or developed. Besides providing food, this sector has contributions to almost every other sector of a ...
    • Cross-cultural comparison of food appetite and restaurant features 

      Islam, Md Sami Ul; Abib, Md. Shariful Huq (Brac University, 2019-04)
      Food business has expanded drastically over the years. It’s safe to say that you never have to make a loss for a restaurant business today onwards. People have become food lovers and they are always in search of new dishes ...
    • Cross-layer design and implementation of cognitve radio system 

      Mohiuddin, Ibrahim Bin; Anis, Nawshin; Ahmed, Saraf Wamia; Anan, Zaki (BRAC University, 2016-03)
      Demand of ever-present wireless services requires the use of more spectrum resources. However, present wireless networks are segmented by a fixed spectrum allocation policy. This fixed allocation of spectrum has lead to ...
    • Crowd source based traffic analysis using machine learning algorithm 

      Orthy, Marzia Khan; Sharmin, Suraiya; Reshad, Ashraful Islam (BRAC Univeristy, 8/21/2017)
      One of the most detrimental effects to our economy currently is most certainly Traffic jam. Be it in a public vehicle or private, valuable work hours (around 3.2 million per day) is wasted everyday while waiting in the ...
    • Crowdmapping on the mitigation of sexual harassment 

      Hasan, Rezwana; Noor, Ramisa Farhat; Noor, Nabiha (Brac University, 2022-01)
      Sexual harassment is a gruesome act of violence that almost 84% of women in Bangladesh, according to Sajida Foundation [21], from the age of three to sixty, have endured it. With the use of crowdsourcing technology, our ...
    • Crowed source based traffic analysis using machine learning algorithm 

      Orthy, Marzia Khan; Sharmin, Suraiya; Reshad, Ashraful Islam (BRAC University, 8/21/2017)
      One of the most detrimental effects to our economy currently is most certainly Traffic jam. Be it in a public vehicle or private, valuable work hours (around 3.2 million per day) is wasted everyday while waiting in the ...
    • Cryptocurrency price prediction and forecasting using machine learning algorithm and long- short term memory mapping 

      Zaman, Md. Sayeed Ibne; Kamal, Mir Ishraq; Ishan, Samiu Mostafa; Khan, Shafayat Zamil; Hossain, Samiha (Brac University, 2021-01)
      Cryptocurrency has been a fascinating topic of many over the past few years, as many people are starting to trade these currencies for big cash-outs. It is a decentralized digital currency. It is a cryptocurrency that ...
    • Cryptocurrency price prediction using Social Media Data Mining and Epidemic Modeling 

      Safa, Bushra; Eva, Sanjida Noushin; Hossain, Sania; Salauddin, A.K.M; Upoma, Lubaba Fakruddin (Brac University, 2021-10)
      With the introduction of blockchain technology in recent years, there has been a mas sive increase in the use of Cryptocurrencies. In any event, due of the market’s un predictable behavior and excessive cost volatility, ...
    • Cultivation of exotic crops using greenhouse automation 

      Zohra, Fatema Tous; Islam, Fariha Jabin; Das, Tilottama; Ami, Kazi Umme Salma (BRAC Univeristy, 12/24/2017)
      In the current world the system of automation is the era defining technology, the vision of our future and will cause the next manufacturing revolution. The automation systems are taking over the tedious work load to ease ...