Now showing items 1-20 of 26

    • Automated farming prediction 

      Siddique, Talha; Barua, Dipro; Ferdous, Zannatul (BRAC University, 12/14/2016)
      Farming in Bangladesh is mostly done manually. The automated way of farming here is still not introduced. This research is trying to apply a fundamental approach to inaugurate the automated process in farming in our country. ...
    • 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 ...
    • Cervical Cancer Detection from Cervix Image Using Pap smear Imaging through CNN 

      Bhuiyan, Mazedul Haque; Tabassum, Fariba; Bushra, Umme; Shwon, Md.Mahbub Rahman (Brac University, 2020-04)
      Uterine cervical cancer is the second most regular gynecological harm around the world. The appraisal of the degree of sickness is fundamental for arranging ideal treatment. Imaging procedures are progressively utilized ...
    • Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children 

      Alhossen, Md.; Himi, Rafika Zannat; Hasan, Zahid (Brac University, 2021-05)
      The world is changing with the pace of information technology revolution and now a-days anybody can access to the internet including the children. Since birth These 21st century children are able to access to the di erent ...
    • 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 ...
    • 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 ...
    • Data analysis on the Bangladesh share market using Machine-Learning 

      Sadman, Syed Hassan; Rahat, Hasib Al; Hamim, Atikur Rahman; Al Kafi, Sultan Gias Uddin; Khan, Nasik Ali (Brac University, 2021-06)
      The stock market plays an important role in the growth of industries by supplying funding. Thousands of Bangladeshis use the stock market as a means of employment. The stock markets in Bangladesh have been declining ...
    • A deep learning approach towards soft biometrics attributes prediction using CNN 

      Kibria, Maharab; Tabassum, Ilmi; Ahmed, Fardin; Habib, Nahian (Brac University, 2021-09)
      Any physical, behavioural or adhered human characteristics that we can observe from a person is known as Soft Biometric.The most common physical soft biometric attributes are height, age, ethnicity, facial hairs, gender, ...
    • Deep learning in Malaria and Covid19 detection 

      Islam, Nahid; Sadat, Omar; Shaer, Tazwar Prodhan; Islam, Md. Adnan (Brac University, 2021-01)
      Recent days deep learning is a promising field of research which has been used in biological applications. It is deep learning which is used in biological image detection along with the transformation of analysis data ...
    • Detecting online recruitment fraud by using machine learning 

      Ghosh, Gitanjali; Tabassum, Hridita; Atika, Afra; Kutubuddi, Zainab (Brac University, 2021-01)
      Online Recruitment fraud (ORF) is becoming an important issue in the cyber-crime region. Companies find it easier to hire people with the help of the internet rather than the old traditional way. But it has greatly ...
    • 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. ...
    • Emotion analysis using machine learning model and deep learning model on DEAP dataset 

      Hasan, Anita; Abrar, Fahim; Sabur, Eshaan Tanzim; Muntasir, Iftehaj; Na sha, Sumaia Sadia (Brac University, 2021-10)
      Emotion has a signi cant in uence on how you think and interact with others. It serves as a link between how you feel and the actions you take, or you could say it in uences your life decisions on occasion. Since the ...
    • Epileptic seizure prediction using bandpass filtering and convolutional neural network 

      Rahman, Tasnia; Mustaqeem, Nabiha; Priyo, Jannatul Ferdous Binta Kalam; Shahariar, Ahnaf; Sharmin, Shaila (Brac University, 2022-01)
      Epilepsy, a chronic neurological disorder, causes seizure- a fast, uncontrollable electrical disturbance in the brain. Seizures that last for a long time might result in memory loss, weariness, photo sensitivity, paralysis, ...
    • Forecasting stock market prices using advanced tools of machine learning 

      Anwar, Md. Tawhid; Rahman, Saidur (BRAC University, 2019-04)
      Stock market, a very unpredictable sector of nance, involves a large number of investors,buyers and sellers. Stock market prediction is the act of attempting to see the long run price of an organization stock or di erent ...
    • High frequency rainfall prediction using machine learning approach to numerical weather modelling 

      Borna, Afsana Afrin; Ani, Ashfak Ahmed; Ashhab, Mahir; Saleh, Shahriar (Brac University, 2021-06)
      The weather has an impact on almost every aspect of our daily lives. Life would be much easier if we could control the weather. Until then, we will have to settle for trying to predict weather but weather prediction is ...
    • An in depth analysis of neural network with application in finance 

      Tasnim, Noshin; Yasmeen, Farhana (BRAC University, 2019-04)
      Arti cial neural network model is inspired from how the nervous system of brain works. If it is designed properly it can process large amount of data or information and can give proper output for di erent application ...
    • Intelligent assisted living in pregnancy 

      Zaman, S. M. Tanveer; Tasneem, Rafia; Shakerin, Tasmia (Brac University, 2022-01)
      Pregnancy period has always been the most sensitive and tenacious phase for the mothers to go through. Despite living in this modern world, it is still difficult to fight with the distress and complications of pregnancy, ...
    • Modelling and forecasting energy demand of Bangladesh using AI based algorithms 

      Mahmud, Booshra Nazifa; Ferdoush, Zannatul; Mim, Lamia Tasnim (Brac University, 2019-04)
      Bangladesh being one of the ve fastest growing economies in the world with its enormous 164.7 million population is facing a huge challenge of adapting to the surging demand of electricity rising throughout the country ...
    • Plant disease detection using convolutional neural network 

      Hossain, Mohammad Shifat; Noor, Fatin Ishraq; Ali, Mir Ayman; Alam, Ra ul (Brac University, 2020-04)
      Rice is a staple crop of Bangladesh and many metric tons of it are being destroyed every year due to diseases. If the diseases can be efficiently and accurately classified ed and recognized at early stage, the farmers ...
    • Predicting COVID-19 disease outcome and post-recovery conditions using machine learning 

      Sajid, Abul Kasem; Kabir, Fahim; Rahman, Hasibur; Kundu, Indronil; Zaman, Sheersho (Brac University, 2021-06)
      With COVID-19 still running rampant across the world, accurate diagnosis of pa tients and proper management of medical resources is paramount in order to deliver proper care to those that need it most. In order to do this, ...