Now showing items 541-560 of 1497

    • An Efficient deep learning approach to detect Brain Tumor using MRI images 

      Islam, Annur Tasnim; Apu, Sakib Mashra; Sarker, Sudipta; Hasan, Inzamam M.; Shuvo, Syeed Alam (Brac University, 2021-10)
      A brain tumor is the development of mutated cells in the human brain. Many di er- ent types of brain tumors exist nowadays. According to researchers and physicians, some brain tumors are non-cancerous while some are ...
    • Deep convolutional GAN-based data augmentation for medical image classification 

      Datta, Joy; Durdana, Bedria; Rafi, Salwa (Brac University, 2022-01)
      The field of medical imaging is rapidly growing with the help of machine learning, yet the problem of scarcity in labeled medical imaging still remains. Therefore training a machine learning model for medical image ...
    • Simulating the transformation of plane triangulation using edge flip algorithms 

      Anushka, A fia Hossain; Hossain, Md. Arman; Kibria, Mukit (Brac University, 2021)
      In Computational Geometry edge flipping of triangulation is a well-studied topic . Also in computer graphics, triangulations are used to form any kind of shape of an object. Although many algorithms have been introduced ...
    • Application of deep convolutional neural network in breast cancer prediction using Digital Mammograms 

      Al Mamun, Rafsan; Rafin, Gazi Abu; Alam, Adnan; Sefat, MD. Al Imran (Brac University, 2022-01)
      Cancer, a diagnosis so dreaded and scary, that its fear alone can strike even the strongest of souls. The disease is often thought of as untreatable and unbearably painful, with usually, no cure available. Among all the ...
    • A comparative study of object detection models for Real Time Application in Surveillance Systems 

      Alam, Saimun; Ahmed, Mahim Uddin; Hasan, Mehedi; Islam, Md. Morshedul; Arnob, Shahed Mehrab (Brac University, 2022-01)
      In this paper, we attempted to give an overview based on thorough research and test ing of the latest object detection methods with an aim to help developers to build a Real Time Responsive CCTV Camera Model. As we welcome ...
    • Lossless segmentation of Brain Tumors from MRI images using 3D U-Net 

      Farha, Ramisa; Nuha, Nigar Sultana; Sakib, Syed Nazmus; Rafi, Sowat Hossain; Khan, Md Sabbir (Brac University, 2022-01)
      2D computer vision and activities related to medical image analysis are remarkably guided with the help of Convolutional Neural networks (CNNs) in recent years. Since a chief portion in the available clinical imaging ...
    • Analysis on the performance comparison between a relational database and a non-relational database for big data application 

      Hasan, Md. Ahsanul; Ahmed, Fardin; Chowdhury, Abul Hossain; Leion, Md. Kamruzzaman; Prince, Md. Rafsan Ferdous (Brac University, 2022-01)
      Database plays a vital role in modern life of technology. Large scale applications such as social media, E-commerce platforms generate a really big amount of data that needs to be stored and worked with properly. And it ...
    • Predicting climate induced floods using machine learning 

      Saleh, Chowdhury Nafis; Alam, Farhan; Khan, Md. Jawad (Brac University, 2022-01)
      Climate change has been causing devastation on the economy of the country and the world as a whole. The study aims to determine how climate change would impact the frequency and severity of one of the major natural ...
    • Voice recognition using machine learning and central database to enhance security system 

      Nur, Mir Md. Taosif; Dola, Sumaiya Sultana; Banik, Apurba Kishore; Akhter, Tanzeem; Hossain, Nafees (Brac University, 2022-01)
      Voice recognition refers to the purpose of interpreting voice or identifying any individual voice. In modern days of technological advancement voice recognition has been playing an integral part behind many machine ...
    • Fighting depression: psychological approaches among Bangladeshi university students 

      Sen, Sanjib Kumar; Apurba, Md. Shifatul Ahsan (Brac University, 2022-05)
      In recent years, mental health deterioration cases have increased exponentially indicates that this issue needs our attention. Stressful situations of our daily life such as excessive study load, relationship predicaments, ...
    • An enhanced CNN model for classifying skin cancer 

      Haider, Kazi MD Minhajul; Dhar, Mondira; Akter, Fahima; Islam, Sadia; Shariar, Syed Ragib (Brac University, 2022-01)
      Unrepaired deoxyribonucleic acid in skin cells causes skin cancer by generating genetic abnormalities or mutations, rising day by day. Detecting and diagnosing skin cancer in its early stages is expensive and challenging, ...
    • Mitigating DDoS attacks using a resource sharing network 

      Khan, Farabi Fardin; Hossain, Nafis Mohaimin; Mahmud, Toushif; Anwar, Sad Bin; Islam, Sirajul (Brac University, 2021-10)
      Cloud computing is crucial to the internet just as air is crucial to breathing. Most users do not even come to think how the cloud architecture is one of the giant pillars on which the entire internet and all its related ...
    • BanglaBait: using transformers, neural networks & statistical classifiers to detect clickbaits in New Bangla Clickbait Dataset 

      Mahtab, Motahar; Haque, Monirul; Hasan, Mehedi (Brac University, 2022-01)
      The art of luring us to click on certain content by exploiting our curiosity is recognized as clickbait. Clickbait might be aggravating at times because it is misleading. Several studies have worked on the detection of ...
    • Pest detection system using machine learning techniques 

      Prithvi, Protyusha Barua; Zahin, Fabliha; Anny, Sanjida Sultana (Brac University, 2022-01)
      Countries like Bangladesh yield a significant portion of their economy from their agricultural sector. Agricultural pests, on the other hand, have a significant impact on both agricultural production and crop storage. ...
    • 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 ...
    • A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks 

      Mahmud, Shakib Izaz; Shovon, Sartaz Islam; Hasnat, Md. Abrar; Na s, Md. Fahim (Brac University, 2021-09)
      Color vision approach using auto encoded technique is an effective way to detect objects. This approach considers various factors like movement detection, size and shape detection, color detection etc. Here we have ...
    • Segmentation based Kidney Tumor Classification using Deep Neural Network 

      Mehedi, Md Humaion Kabir; Haque, Ehteshamul; Radin, Sameen Yasir; Ur Rahman, Md. Abrar (Brac University, 2022-01)
      Kidney disease is one of many severe chronic disease that a person can have. Early detection of this disease can be pivotal for proper treatment. Different neural net works have proven to be useful in disease prediction ...
    • AVCL: Audio Video clustering for learning Conversation labeling using Neural Network and NLP 

      Chowdhury, Salman Mostafiz; Rohid, Ali Ahammed; Hussain, Rizwan; Mostafa, Chowdhury Sujana (Brac University, 2022-01)
      Audiovisual data is the most extensively used and abundantly distributed type of data on the internet in today’s information and communication age. However, the necessary audiovisual data is challenging to retrieve because ...
    • Privacy focused classification of prostate cancer using federated learning 

      Salma, Syeda Umme; Sakib, MD. Sadman; Alvee, Mohammed Moinul Morshed; Yasaar, Nahiyan (Brac University, 2022-01)
      The prostate gland is a small gland located in the lower abdomen of a man. Prostate cancer occurs when a tumor, or abnormal, malignant growth of cells, forms in the prostate. Prostate cancer is a slow-growing cancer that ...
    • Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks 

      Chakraborty, Dhruba; Rabbi, Mahima; Hossain, Maisha; Khaled, Saraf Noor; Oishi, Maria Khanom (Brac University, 2022-01)
      Content centric network is a state-of-the-art networking architecture for content distribution and content caching. However, it is inefficient to cache every content in each network device. The modern edge computing ...