Now showing items 228-247 of 1465

    • Cancer classification using deep learning from medical image data 

      Monir, Raiyan Janik; Shaon, Shoeb Islam; Noman, Syed Mohammad; Iqbal, Sahariar (Brac University, 2022-01)
      Cancer is a disease in which some of the body’s cells grow uncontrollably and spread to other parts of the body. Cancer can start almost anywhere in the human body, which is made up of trillions of cells. There is usually ...
    • Cancer detection using image processing techniques based on cell counting, cell area measurement and clump detection 

      Pavel, Monirul Islam; Sadique, Ashique Mohammad; Ritul, Rifat Ahmed; Khan, Synthia; Nath, Snigdha (BRAC Univeristy, 8/21/2017)
      We proposed cancer cell detection using image processing techniques based on cancer cell counting, cell area measurement and clump detection. The proposed system autonomously detects traits of cancer in microscopy images ...
    • CancerCare: A reliable and secured self-supervising and interactive system using deep learning 

      Khisa, Pushpakali; Hossain, Arisha; Raihana, Anika; Khan, Alisha; Tonu, Tamanna Sultana (Brac University, 2023-01)
      Cancer is the ultimate global health issue in the 21st century, as its burden is in creasing day by day. In the year 2020 [36], 18.1 million cancer cases were estimated, where 9.3 million were men and 8.8 million were ...
    • Cardiovascular disease prediction model using Machine Learning Algorithm 

      Arefin Mirdha, MD Shamsul (Brac University, 2022-09)
      This research uses machine learning to anticipate and detect the symptoms of specific diseases after examining some of the important elements of these diseases in order to better understand them and develop new and better ...
    • Cartographer 

      Rahman, Taufiq Abdur; Saleque, Auninda Rumy; Salahuddin, Hasan Ameen (BRAC University, 2010-12)
      Cartography comes from the combination of two Greek words: Chartismeaning map and graphinemeaning to write. Cartography is the study and practice of making maps, and hence a cartographer is an entity- human or machine - ...
    • 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 ...
    • Categorization of human monkey-pox from skin lesion images based on transformer and ensemble learning using GRADCAM 

      Hassan, Ibne; Tahsin, Raida Mobashshira; Toma, Sadia Shara; Utchhash, Tausif Tazwar Quadria (Brac University, 2023-01)
      As the world keeps healing from the worldwide outbreak of COVID-19, the MPOX virus poses a new risk. The Mpox virus is not as deadly or contagious as COVID-19, but new patient cases are recorded every day from a wide ...
    • CattleSavior: towards implementing an advanced external disease detection system through deep learning 

      Das, Rantu; Sinha, Yousuf; Sahid, Sohidul Haque; Kar, Dipta Dipayan; Shaheen, Shahidul Haque (Brac University, 2023-08)
      "Lumpy Skin Disease (LSD), Foot and mouth (FMD), and Infectious Bovine Keratoconjunctivitis (IBK) are some of the most common external diseases of cattle in Bangladesh. Besides, these diseases are highly contagious. Thus, ...
    • Centralized medical practice management software system 

      Ali, Khaled Mohammad; Salehin, Mohammad Ashikus; Hassan, Tahmid; Khan, Omar Hassan (BRAC University, 2015-08)
      The purpose of this project was to construct a centralized patient management system that would serve as a consolidated platform to provide an effective and efficient mechanism for patient management and means for availing ...
    • Centralized school management system using distributed database 

      Samayel, Sabid; Chowdhury, Ashikul Alam; Alam, Md. Shahidul (BRAC University, 2017)
      Focusing on the digitalization of different sectors by Bangladesh government, it came in accordance that education system of the country is lagging behind on the track. Considering an individual’s educational information, ...
    • 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 ...
    • CHAAR: location based product offer advertisement app 

      Sunnat, S. M. Mohi-Us (BRAC University, 4/18/2016)
      Shopping is a major part of this modern era for both Men and Women. CHAAR App dynamically helps the users to find out their desire and favorite products. Besides it will give the notification about the shops which will ...
    • Chaos in Quantum Mechanics 

      Rahman, Md. Mahfujur; Pandey, Sovers Tonmoy (Brac University, 2023-01)
      This thesis provides a detailed view of Out-of-time-order correlators in quantum mechanics. And how we can use OTOC to calculate chaos in quantum mechanics. We present precise OTOC calculations for a circle billiard, a ...
    • Character animation using reinforcement learning and imitation learning algorithms 

      Tahmid, Tokey; Lobabah, Mohammad Abu; Ahsan, Muntasir; Zarin, Raisa; Anis, Sabah Shahnoor (2021-06)
      Real-time character animation for gaming and film industries is challenging and achieving production-ready quality is the hardest part. Managing time and resources also plays a vital role here. Animation through marker-based ...
    • 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 ...
    • Choosing two technologies that best suite for making voter ID card 

      Aftab, Afzal; Abdullah, Md. Tareq (BRAC University, 2008-05)
      Voting is an important national issue for every country and the whole voting process should be flawless and secured. To ensure free and fair election, Bangladesh needs a voting system where people can vote without any ...
    • Chronic kidney disease detection using ensemble classi ers and feature set reduction 

      Shawan, Naveed Rahman; Mehrab, Syed Samiul Alam; Ahmed, Fardeen; Hasmi, Mohammad Sharatul (BRAC University, 2019)
      Chronic kidney disease (CKD) is the gradual loss of kidney function over a duration of months or years. One in ten people are affected by it at some stage. Some ethnicities such as African Americans and South Asians are ...
    • Citrus leaf disease detection by image processing 

      Chowdhury, Mahir Faisal; Nondi, Amit; Zaman, Fardin; Akhter, Sium Ibn; Pathan, Tanjina Bilma (Brac University, 2024-01)
      Citrus leaf diseases bring a danger to the earnings of citrus estates. When it comes to recovering from illness, early detection and accurate diagnosis are very necessary. In the last several decades, there have been ...
    • Classi cation of magnetic configurations using machine learning algorithms 

      Bokul, Saffat; Abdus Shukur, Samiha Sabrin Md; Ahmed, Saquib (Brac University, 2019-08)
      Machine learning is used to carry out e cient studies and analyses in the eld of condensed matter physics. We propose comprehensive machine learning approaches that would classify between magnetic structures. We propose ...
    • Classi fication of motor imagery tasks based on BCI paradigm 

      Hossain, Nahid; Hasan, Bhuiyan Itmam; Mohona, Mahfuza Humayra; Noshin, Kantat Rehnuma (Brac University, 2019-09)
      Motor imagery tasks are mental processes by which individual practices a set of actions in their mind without actually performing the physical movements. Research in the motor imagery tasks allow us to acquire critical ...