Now showing items 501-520 of 2374

    • An efficient approach to detect melanoma skin cancer using a custom CNN model 

      Rahman, K.M Saidur; Amin, Tanjim Bin; Rahman, Mahdi Sakib; Sakib, G M Shadman Hossain (Brac University, 2022-09-28)
      Despite only making up 1% of all occurrences of skin cancer, melanoma is one of the most prevalent forms to cause fatalities in recent years. Melanoma has a survival rate of more than 50% from the early stages to the ...
    • Surrounding-aware screen-space-global-illumination using generative adversarial network 

      Mahmud, Abrar; Sifar, Alimus; Rahman, Moh. Absar; Mostafa, Fateen Yusuf; Tasnova, Lamia (Brac University, 2022-09-20)
      Global Illumination is a strategy in computer graphics to add certain degree of realism in case of 3D scene lighting, by trying to emulate how light rays work in real life. Several approaches exists to achieve such kind ...
    • Motion based gesture detection using frame composition LSTM 

      Islam, Ishraqul; Islam, Md. Saqif; Provat, Mahin Islam; Khandakar, Shaneen Shadman; Karim, Fardin Junayed (Brac University, 2022-09-28)
      Years of technological progress have made machines capable of identifying humans in images and videos. Moreover, machines like computers can also detect our hand gestures. Gesture recognition is the tool needed to ...
    • Interpretable Bangla fake news classification using BERT and traditional machine learning approaches 

      Anan, Ramisa; Modhu, Elizabeth Antora; Suter, Arjun; Sneha, Ifrit Jamal (Brac University, 2022-09-29)
      Fake news is a type of content that is inaccurate or misleading and it is usually published with the intention of damaging a person or organization’s reputation. It has recently grown significantly in the online forum ...
    • Real-time obscene scene nudity detection and blurring in a video clip 

      Rizwana, Jesima; Hasan, Md. Fahim; Hossain, Motakabbir; Zahangir, Kaniz Ferdous Binte; Prothoma, Humaira Mir (Brac University, 2022-09-22)
      Videos are widely consumed by people of all ages as a form of entertainment, information and education. However, not all videos are made for everyone. Many videos contain obscenities such as nudity, violence, blood, and ...
    • A hybrid FL-enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN 

      Chowdhury, Asif Hasan; Islam, Md. Fahim; Riad, M Ragib Anjum; Hashem, Faiyaz Bin (Brac University, 2022-09-28)
      The significant advancements in computational power create the vast opportunity for using Artificial Intelligence in different applications of healthcare and medical science. A hybrid FL-enabled ensemble approach for ...
    • Risk based hybrid security model for enhancing eHealth services of cloud system 

      Ullah, Azmat; Hasan, Md. Tasnimul; Hossain, Imam; Das, Tonmoy (Brac University, 2022-09-28)
      E-health is a relatively new healthcare innovation that incorporates electronic operations and communication. The Electronic Health Record (EHR) or Electronic Medical Record (EMR) in an e-health system contains all health ...
    • Preventing national identity forgery in Bangladesh using IGA based security controls 

      Meraj, Afsarul Islam; Samindra, Sadia Ferdous; Chhoan, Tasnim Fuyara; Kashpia, Afsana Sharmily; Ahmed, Tawhid (Brac University, 2022-09-28)
      The rapid diffusion of the internet coupled with the vision of ”Digital Bangladesh” has given rise to e-government services to improve the capability, accountability, and accessibility of different e-government services ...
    • A deep learning approach for pneumonia classification from chest X-Ray images with ensemble modelling and explainable AI 

      Akhter, Nasrin (Brac University, 2021-06-08)
      Pneumonia is one of those frightening diseases that has a high mortality rate among children and the elderly, with an estimated 2 million fatalities per year. Pneumonia affects the poorest people in Africa and Asia the most, ...
    • Performance analysis of machine learning algorithms for Malware classification 

      Bushra, Raisa Hasan; Alam, Md Taukir; Saha, Aniruddho; Fahim, Nazmus Sakib; Binty, Nabila Mourium (Brac University, 2022-09-29)
      Malware detection research has been popular over the years as the variations and complexity of malware attacks are increasing daily. Using variously Supervised and Unsupervised machine learning algorithms to detect, ...
    • Machine learning-based approach on predicting online shopping addiction using EEG signals 

      Nawer, Nafisa; Jahan, Nazia; Fuwad, Md. Mubtasim; Bhuiyan, Mehedi Hasan; Kabir, Imtiaz (Brac University, 2022-05-24)
      According to experts, shopping addiction is often a coping mechanism for those who are experiencing mental pain. As a result, to research online shopping addiction, researchers must look at changes in brain activity during ...
    • Decipherable classification of glaucoma using deep neural network leveraging XAI 

      Chayan, Touhidul Islam; Islam, Anita; Tonny, Anika Rahman; Rahman, Eftykhar (Brac University, 2022-01-18)
      Glaucoma is the second driving reason for partial or complete blindness among all the visual deficiencies which mainly occurs because of excessive pressure in the eye due to anxiety or depression which damages the optic ...
    • A novel approach to reduce air pollution through machine learning based PM2.5 prediction 

      Alif, Omar Farhad; Monsaif, Tarik Monwar; Amarth, Swakshar Das; Kabir, Md. Nafiu; Sadman, Tahmid Asif (Brac University, 2022-05-24)
      AI (Artificial Intelligence) is one of the most fascinating subjects for computer scientists in this century. It is a technology that helps a machine to do tasks by itself which needs human intelligence. This technology ...
    • Football offside tracking 

      Mitu, Ishrat Jahan; Chowdhury, Mohammad Hafiz-Ul-Islam; Rahman, Alif; Bhuiyan, Sabbir Rahman (Brac University, 2022-09-29)
      cutting-edge technology to help referees make accurate calls. Modern football tries to use VAR (Video Assistant Referee) technology to correct wrong calls like offside, but this is being delayed because the equipment ...
    • Social media trend analysis to predict the success of products using deep learning technique 

      Khan, Farden Ehsan; Ruhan, Ahmed Mahir; Shamsuddin, Rifat (Brac University, 2022-09-29)
      In recent times, social media usage has reached such heights that it has become a powerhouse in producing trends, bringing such topics that would have remained outside of popular consciousness. Our goal is to analyze how ...
    • Use of machine learning and IoT for monitoring and tracking of livestock 

      Aunindita, Rudaba Farhin; Misbah, Muhammed Shiam; Joy, Sibbir Bin; Rahman, Md. Ashikur; Mahabub, Sad Ibn (Brac University, 2022-09-29)
      Given the present era’s expanding population and rising necessity of dairy products, livestock supervision is one of the issues that is becoming progressively more of a priority. Moreover, periodic cattle health monitoring ...
    • Detecting fake news on Covid-19 using machine learning algorithms 

      Hossain, Farhan; Hasan, Md Zahid; Hasan, Sourov; Alam, Mobassherul; Shahana, Afrin (Brac University, 2022-05-29)
      The expansion of the Internet and swift adoption of social media platforms such as Facebook, Twitter, Instagram, Reddit, etc., has seen news and information publicized in such a way that has never been perceived in human ...
    • Recognising license plate from image data using deep learning 

      Golder, Rupam; Rahman, Sadman; Shams, MD. Isteak; Hasan, Jawad; Bakhtiar, Fahim Muhammad (Brac University, 2022-09-29)
      Maintaining surveillance and security on the roads has become a significant challenge, which is why it has become necessary to conduct proper methods to control this problem. To ensure security and safety on the roads, ...
    • Key process to use information system in Bangladesh hospitality industry 

      Rifat, A.K.M. Azimul Haque; Khan, Ahnaf Rahman; Fairoz, Faiza; Tanzim, Sarah (Brac University, 2022-05-29)
      Technology has helped humankind replace expensive human labor with technological labor. This helps reduce labor costs but also helps avoid customer service issues. It’s currently utilized to help people handle data more ...
    • Ensure security in supply chain with blockchain technology 

      Tarannum, Fairuz; Nafiz, Nazibun; Khanam, Sumaya; Tabassum, Wasy; Kamor, Rudaba Adnin (Brac University, 2022-09-29)
      Supply chain essentially means the network between the suppliers and distributors to produce and distribute products to the final consumers which comprises various activities, entities, databases and responsibilities. ...