Brac University Institutional Repository: Recent submissions

Now showing items 1-20 of 16167

    • Detection of Deepfake using computer vision and deep learning 

      Rahman, Anisur; Uschash, Ehteshamul Islam; Rahman, Faria; Adiba, Shihaba Jamal Chowdhury; Labib, Tahmidul (Brac University, 2023-05)
      In this era of Metaverse and technological advancement, Deepfakes are one of the most alarming concepts. Deepfakes are mostly synthetically-generated manipulated photos or videos which is created swapping a face of a ...

    • Predicting obesity: a comparative analysis of machine learning models incorporating different features 

      Rahman, Md.Sakibur; Ahmed, Kaosar; Nafis, Tanvir Alam; Hossain, Md. Ridwan; Majumder, Swapnil (Brac University, 2023-05)
      Obesity, the excessive accumulation of body fat, is a significant health risk associated with various detrimental impacts, including the development of chronic diseases, metabolic abnormalities, joint problems, sleep ...

    • Stock price prediction 

      Das, Kaushik; Azad, Tahzib; Islam, Sadid; Chowdhury, Nuzhat; Ahmed, Nazia (Brac University, 2023-05)
      Accurately predicting the stock value enables investors to earn more money, reducing their uncertainty on whether to buy and sell. Again during the COVID-19 period, many companies have shown a different picture of the ...

    • Hand gesture recognition using ensemble method 

      Kowsar, Sahib; Chowdhury, Mahzabin; Mahmud, MD Safin; Haque, Shahbaj Shafin; Shifa, Asaka Akther (Brac University, 2023-05)
      Even though things have improved much more over the last century in terms of com- munication, there still is a glaring amount of communication gap between the hearing majority and the deaf community due to the lack of ...

    • An approach to detect smartphone addiction through activity recognition and app usage behaviour 

      Uz Zaman, Nur; Akther, Afroza; Tabassum, Nowshin; Samrat, Md. Khaliduzzaman Khan; Khan, Swad Mustasin (Brac University, 2023-05)
      The widespread use of smartphones has raised concerns about problematic smartphone use or addiction, which has become a significant issue in today’s society. Despite the recognition of this research area, detecting smartphone ...

    • Automated health monitoring system 

      Tanvir Fahim, Sheikh Farhan; Hasan Rudra, S.M. Mahmudul; Roy, Nirvik Guha; Al-Maruf, Abdullah; A-Zannat, Zahrun (Brac University, 2023-01)
      One of the most popular proverbs we have heard since we were little is that ”Health is wealth”. Ever since the beginning of time, people have been curious to learn and discover new techniques to maintain good health. ...

    • Rating detection by reviews using ML and NLP towards mobile phone recommendation 

      Sarker, Md Wafi; Al Nahian, Sheikh Sanzid; Khan, Anjumand Moshtari; Oraib, Abdullah; Islam, Sikder Mohidul (Brac University, 2023-01)
      Product recommendation is a type of marketing tool that has become increasingly important for businesses as well as in purchasing goods in the digital age. Prod uct recommendation is the process of suggesting items to ...

    • Blockchain-based traffic surveillance footage authenticity detection system 

      Bin Moshiur, Tasnimul; Ullah, Mohammad Zafar; Nawar, Nahian; Tazwar, Tawsif Muhammed; Nanjiba, Rifah (Brac University, 2023-01)
      With the advancement in technology, fraudulent videos are becoming harder to de tect and easier to produce. Surveillance footage can serve as circumstantial evidence when dealing with crimes, however when this footage is ...

    • Application of CNN based architectures in detection of distracted drivers 

      Arafin, Irfana; Islam, Md Mahirul; Tazwar, Syed Ittisaf; Das, Nilay Shuvra; Anika, Sabrina Tabassum (Brac University, 2022-08)
      Distracted driving is known to be one of the most significant reasons behind the occurrence of traffic accidents. Moreover, the phenomenon of the occurrence of road accidents due to distracted driving has been increasing ...

    • Exploring attacks in the NFT gaming industry: A study of risks and mitigation strategies 

      Mohima, Zarin Rahman; Bin Bashar, Syed Ziaul; Muktadir, Rawnak; Hossain, Amirah; Mahmud, Shafin (Brac University, 2023-01-23)
      Exploring the decentralized concept of NFT games implemented on blockchain to demonstrate possession of specific game elements, has enabled the integration of blockchain features technology where the developer enables a ...

    • Multimodal approach to human detection in unconstrained environments using YOLOV7 for conventional, infrared & thermal cameras 

      Rukaiya, Maymuna; Khan Soumik, Md. Muhtadee Faiaz; Sakib, Sazzad Hossan; Islam, Md. Ashikul; Ishrak, Mohammad Farhan (Brac University, 2023-01)
      Search and rescue operations in disaster-stricken areas are often hindered by chal lenging environmental conditions, such as poor visibility, limited lighting, and high levels of noise and clutter. These conditions can ...

    • Enhancing email management and filtering through naive bayes based spam detection : a proposed email application solution 

      Rahman, Muhammad Farhan; Enam, Maisha; Shahreyar, Shadman; Mithylin, Valentina (Brac University, 2023-05)
      Spam emails make up almost half of the global mail traffic. These emails take up a large amount of space in the user’s inbox. However, a lot of time malware and viruses are embedded in these emails in the form of attachments ...

    • Extracting information from social media platform for early detection of depression among individuals 

      Noman, Mirza Abdullah Al; Khan, Waleed Bin Habib; Chowdhuruy, Pratick Roy (Brac University, 2023-05)
      In our world, 3.8% of the total population is suffering from depression and it is the fourth major cause of death in 15-29 year olds. It is estimated that more than 75% of people suffering from it in low and middle income ...

    • Tokenized property renting and trading using blockchain 

      Hossain, Md. Miraj; Ahmed, Kazi Sazid; Saha, Senjuti; Eshan, Kazi Tasmima; Akand, Tasmia (Brac University, 2022-09)
      It is challenging for any authoritative figure to keep track of and oversee the house rental market because of the large number of landlords, arbitrary fees, misleading rental information and other issues. On the basis ...

    • Lung cancer detection and classification using machine learning 

      Arefin, Mahbubul; Hekim, Md. Lokman; Farjana, Afia; Bala, Nisarga (Brac University, 2023-05)
      Lung cancer is a term known to all nowadays. This disease grows in the lung tissues and starts to spread with time. The cells responsible for air passage are corrupted by it. It can happen because of air pollution. When ...

    • Analyzing user data privacy in android mobile OS 

      Miah, Abdul Momen; Ashik, MD. Akhtaruzzaman; Chakma, Pranab; Baidya, Shoumya Dipta; Zaman, Musharrat (Brac University, 2023-01)
      Uses of smartphones are increasing rapidly more than anything, and so are the chances of risking our personal information. We constantly install various apps on our mobile phones for different purposes. Data privacy is ...

    • Implementation of digital voting system using blockchain 

      Sabbir, Naimul Hasan; Islam Chowdhury, Md. Amirul; Das, Rishikesh; Mukit, K.A. (Brac University, 2023-01)
      Electronic voting has evolved over time as a viable alternative to traditional paper based voting in order to decrease redundancies and anomalies. Traditional voting has not pleased the public or government officials in ...

    • Driver’s reputation management system using blockchain for smart city 

      Siam, Md.Ammar Hossain; Mostafa, Raufar; Maisha, Maliha Jahan; Jahan, Shifath; Muhammad, Nafisa (Brac University, 2023-05)
      The driving system, in all its disorganized scale has long thrown a shadow of unpredictability and fluctuation making it concerning for public safety. A blockchain based driver reputation management system for smart city ...

    • A secured federated learning system leveraging confidence score to identify retinal disease 

      Eshan, M Sakib Osman; Nafi, Md. Naimul Huda; Sakib, Nazmus; Maruf, Md. Ahnaf Morshed; Emon, Mehedi Hasan (Brac University, 2023-05)
      Federated learning is a distributed machine learning paradigm that enables multiple clients to collaboratively train a global model without sharing their local data. How- ever, federated learning is vulnerable to adversarial ...

    • An advanced hospital rating system using machine learning and natural language processing 

      Tamjid, Ali Asgar; Galpo, Gaurab Paul; Urmi, Khadija Begum; Chitto, Fatema Sadeque; Annafi, Sadia (Brac University, 2023-05)
      Bangladesh is the host of 255 public and 4,452 private hospitals. Unfortunately, there is no reliable metric or resource available online to determine which hospital is better. Patients and their peers often find it ...