Now showing items 1-20 of 40

    • 3D Brain image segmentation using 3D tiled convolution neural networks 

      Haque, Md Mahibul; Ria, Jobeda Khanam; Mannan, Fahad Al; Majumder, Sadman; Uddin, Md Reaz (Brac University, 2023-09)
      Gliomas are the primary brain tumors that are most commonly observed in adult patients and exhibit varying degrees of aggressiveness and prognosis. The accurate identification and diagnosis of Gliomas in surgical procedures ...
    • Aspect based opinion mining on restaurant reviews 

      Tonmoy, Sazid Hasan; Ahmed, Faiyaj Bin; Sarkar, Madhurjya; Bashar, Mehejabin Binta; Ahmed, Rafi (Brac University, 2023-09)
      The way businesses are operating have changed due to the explosion of the internet. Social media has an increasing number of reviews as people are keen to express their opinions based on their experiences. Online reviews ...
    • Automatic helmet-less biker detection using deep learning 

      Ratul, Md. Ibrahim; Mohon, Abdul Karim Ibne; Sarker, Md. Reduan (Brac University, 2023-09)
      When riders don’t wear a helmet while driving a motorcycle, they aren’t paying attention, leading to crashes and more deaths. The researchers utilized multiple deep-learning models to identify motorcyclists without ...
    • Automatic subtitle generation for Bengali multimedia using deep learning 

      Rhythm, Ehsanur Rahman; Arnob, Shafakat Sowroar; Shuvo, Rajvir Ahmed (Brac University, 2023-09)
      For audio or video material to be more inclusive and accessible, automatic subtitle generation is essential. Nevertheless, implementing this technology into Bengali presents significant challenges due to scarce resources ...
    • 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 ...
    • Blockchain based Secured Multipurpose Identity (SMID) management system for smart cities 

      Rahat, Abrarul Hassan; Joti, Tassnim Jaman; Akter, Tania; Tasnin, Humayra; Rumon, Mamunur Rashid (Brac University, 2021-09)
      Blockchain, the decentralized architecture and distributed public ledger technology that enables Bitcoin, has recently drawn a strong interest from governments, nancial institutions, and high-tech companies. In modern ...
    • BnClinical-Sum: benchmarking datasets for Bangla long & short clinical dialogue summarization 

      Adib, Quazi Adibur Rahman; Alam, Sanjana Binte (Brac University, 2024-01)
      Despite significant improvements in the general-purpose text summarization task in the past decade, clinical conversion summarization is going through a tough time due to a lack of initiative to provide open-source ...
    • Customer segmentation using K-means 

      Mahdee, Nafis; Shourav, Ishrak Rahman; Tabassum, Tasneem; Nur, Eman; Md Amir, Hamza Howlader (Brac University, 2022-05)
      Sales Maximization is a critical aspect of operating any business. Our thesis aims to help businesses to probe deep into their market reach as we group customers us ing the customer segmentation approach. Our dataset is ...
    • A deep learning approach for prediction of ADHD using brain structure 

      Siam, Shafin Ahad; Datta, Durjoy; Hossain, S.M.Kawsar; Nobel, MD.Nishat Ahmed; Ahamed, Ashik (Brac University, 2023-09)
      Attention deficit hyperactivity disorder (ADHD) is a complex condition affecting the brain’s neurodevelopmental processes. Prompt treatment and accurate diagnosis can alter neural connections and improve symptoms. This ...
    • Deep learning based crowd monitoring and person identification system 

      Haque, Mohammad Fahim; Sarkar, Dipto; Choudhury, Tawhid Al Muhaimin; Rafi, Samiul Hoque; Rahim, Md Shajidur (Brac University, 2023-09)
      In this paper, we propose a deep learning-based crowd monitoring and person identification system and a crowd-video dataset to address the challenges posed by the recent COVID-19 pandemic or future pandemics may occur, ...
    • Detecting Adverse Drug Reaction (ADR) with data mining and predicting its intensity with machine learning 

      Hussain, Nadib; Islam, Tanvir; Apu, Rafik Un Nabi (BRAC University, 2018-07)
      Adverse Drug Reaction (ADR) is one of the many uncertainties which are considered as a fatal threat in the field of pharmacy and medical diagnosis. Utmost care is taken to test a new drug thoroughly before it is introduced ...
    • Detecting tweet sentiment and sarcasm on online learning during covid-19 

      Das, Shishir Kumar; Nisa, Khairun; Kabir, Razit; Tonni, Israt Jahan (Brac University, 2023-01)
      COVID-19 pandemic has created a lot of challenges for student learning and educa tion across the globe. As a result of the global increase of the state of COVID-19, numerous educational institutions in the whole world ...
    • Detection of fake identities on twitter using supervised machine learning 

      Rahman, MD. Takiur; Likhon, Ataul Mim; Rahman, A. S. M Mus qur; Choudhury, Mihadul H. (BRAC University, 2019-05)
      Social media has changed the way people get their news. Once people used to buy newspapers to get their news but now everything is online. It has changed the dimension of how we receive news altogether. With a growing e ...
    • Detection of handwritten text using convolutional neural network 

      Jasim, Rabib Bin; Mahin, Rokeya Sultana (Brac University, 2019-04)
      Machine replication of human functions, like reading, is an ancient dream. However, over the last five decades, machine reading has grown from a dream to reality. We have tried to make it more obvious through a hand ...
    • Detection of skin diseases using deep learning 

      Shodoy, Masuk Ur Rahman (2023-09)
      As a topic of global health importance, skin diseases must be quickly identified and accurately diagnosed to allow for effective treatment. Specifically for the classification of skin diseases, the use of deep learning ...
    • Detection of violent activity in surveillance system using different deep learning techniques 

      Chakravorty, Tirthendu Prosad; Abeer, Mobashra; Baroi, Shaiane Prema; Roy, Sristy (Brac University, 2023-09)
      In the past decade, surveillance cameras have been a necessary integration for security measures in all types of localities. The omnipresence of these devices has substantially aided in tackling violent criminal activities. ...
    • An efficient deep learning approach to classify white blood cells 

      Turja, Afif Ibna Kadir Khan; Habib, Ahsan; Ehsani, Kefaiat Lamia; Shabab, Zahin; Tamanna, Anika Nower (Brac University, 2023-09)
      The human immune system’s white blood cells (WBCs) fight against infection and prevent the body from potentially harmful substances. They consist of neutrophils, eosinophils, basophils, monocytes, and lymphocytes, each ...
    • Emotion recognition from facial expression of autism spectrum disordered children using image processing and machine learning algorithms 

      Tasnim, Nishat; Khwaja, Atiya; Rashid, Humayra (BRAC University, 2018-12)
      Emotion recognition from facial expression is one of the most popular research sectors in Computer Science for last several years. As face recognition of different people is already established and become very common in ...
    • Enhancing eye disease classification through synergistic deep learning approaches 

      Rahaman, Asif; Mahamud, Shifat; Akter, Shanjida; Saha, Dipro; Fahad (Brac University, 2023-09)
      The number of people living with blindness is about 43 million people and 295 million people are living with moderate-to-severe visual impairment. The leading causes of most blindness are macular degeneration, diabetic ...
    • Evaluating CNN and Vvsion transformer models for mango leaf variety identification 

      Labiba, Zaima; Heram, Afrin A; Hossain, Md.Muhtasim; Alam, Sharia; Shakal, Binita Khan (Brac University, 2023-09)
      Mango, often referred to as the “King of fruits”, occupies a superior place in the global agricultural landscape due to its growing demand. Thus accurate identification and classification of mango tree varieties is ...