Recent Submissions

  • Fault detection and predictive maintenance in IoT-based building management system using machine learning 

    Sabuj, Khaja Sheikh Imran; Chowdhury, Saifullah; Mehedi, Fahim Hasan; Chakraborty, Pritam; Arnob, Shafarse Simeon (Brac University, 2022-01)
    Infrastructures in the modern era are incorporating the Internet of Things (IoT) in everything from complex building automation systems (BAS) to individual small devices, emphasizing the importance of Predictive Maintenance. ...
  • Sentimental analysis on political speeches 

    Atiq, Asif; Abeed, Abrar Shahriar; Efat, Azher Ahmed; Momin, Armanul (Brac University, 2022-01)
    Politics is an essential part of human society. From the start of human civilization, politics has controlled every human society. Political speeches have had one of the most influential roles in shaping the world. ...
  • Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data 

    Mahbub, Riasat; Azim, Muhammad Anwarul; Reza, Khondaker Masfiq; Mahee, Md Nafiz Ishtiaque; MD. Zahidul Islam Sanjid (Brac University, 2021-09)
    Alzheimer’s Disease (AD) is a neurological condition where the decline of brain cells causes acute memory loss and severe loss in cognitive functionalities. Various Neuroimaging techniques have been developed to diagnose ...
  • Electroencephalography based brain controlled grasp and lift 

    Chakraborty, Pritam; Akter, Sanjida; Hasin, Bariyat; Ahmed, Syeda Faria (Brac University, 2021-09)
    The complexities and challenges of performing daily fundamental activities like getting dressed, answering a phone call, opening and closing the door, writing something down, or even consuming foods for patients who have ...
  • Sound classification using deep learning for hard of hearing and deaf people 

    Habib, Md.Adnan; Arefeen, Zarif Raiyan; Hussain, Arafat; Shahriyer, S.M.Rownak; Islam, Tanzid (Brac University, 2022-01)
    Our paper mainly focuses on developing an audio classification for people, who cannot hear properly, using Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN). One of the many prevalent complaints from ...
  • Multi-classification based Alzheimer's disease detection with comparative analysis from brain MRI scans using deep learning 

    Kabir, Azmain; Kabir, Farishta; Mahmud, Md. Abu Hasib; Sinthia, Sanzida Alam; Azam, S. M. Rakibul (Brac University, 2021-10)
    The neurodegenerative Alzheimer's Disease is the most widely recognized cause of `Dementia' and was allegedly the 7th highest cause of death globally. Nevertheless, there is still no conclusive test for distinguishing ...
  • Prostate cancer detection using deep learning neural network with transfer learning approach 

    Badhon, Ariful Islam Mahmud; Hasan, Md. Sadman; Haque, Md. Samiul; Pranto, Md. Shafayat Hossain; Ghosh, Saurav (Brac University, 2021-10)
    Prostate cancer is a ubiquitous form of cancer detected among men all over the world. It is currently the second leading cause of cancer death worldwide among men. Research shows that about 11% of men worldwide are ...
  • Automation requirements engineering using machine learning 

    Abid, Md.Mehedy Hasan; Tanna, Rubaya Neshat; Noyon, Mahbubur Rahman; Masud, Jahidul Hasan; Akter, Tahmina (Brac University, 2021-09)
    Machine learning algorithms help to automate the process in many di erent problem domains. In the eld of Software engineering. Requirement engineering is one of the rst stages of software development. This research ...
  • Computer-generated artificial life model: algorithm for hunters hunting preys 

    Haque, Md. Mahbub-Ul; Sur, Surid Imam Khan; Shahriar, Rehnuma Binta; Saha, Supti Rani (Brac University, 2021)
    This thesis simulates the behavior of predators and preys observed between a pack of wolves and a deer herd during a hunting scenario. We use the Boids flocking algorithm, an artificial life model developed by Craig ...
  • A deep face-mask detection model using DenseNet169 and image processing techniques 

    Bhowmik, Durjoy; Abdullah, Mohd.Rahat Bin; Islam, Mohammed Tanvirul (Brac University, 2022-01)
    The world stood still during the massive breakout of the Covid-19 worldwide. This massive outbreak of this contagious disease was occurred by being airborne. Not only COVID but also there are many other contagious disease ...
  • A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten basic to compound character recognition 

    Khan, Mohammad Meraj (Brac University, 2021-08)
    With the recent advancement in artificial intelligence, the demand for handwrit- ten character recognition increases day by day due to its widespread applications in diverse real-life situations. As Bangla is the world’s ...
  • Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh 

    Biswas, Sunanda; Sarkar, Spandan; Islam, MD. Manazir (Brac University, 2021-10)
    Nature and technology are two di erent subject matter with having much dissension between each. Only a few years back, technological growth looked like a threat to nature. However, the bene t of having huge computational ...
  • Multi-modal hate speech detection using machine learning 

    Shill, Ponkoj Chandra; Boishakhi, Fariha Tahosin (Brac University, 2021-01)
    Hate speech is a common problem that people face in any content based applications. With continuous growth of internet users and media contents, it is very hard to track down hateful speech in audio and video. Converting ...
  • Exploring Alzheimer's disease prediction with XAI in various neural network models 

    Rahman, Quazi Ashikur; Shad, Hamza Ahmed; Asad, Nashita Binte; Bakshi, Atif Zawad; Mursalin, S.M Faiaz (Brac University, 2021-10)
    Using a number of Neural Network Models, we attempt to explore and explain the prediction of Alzheimer's in patients in various stages of the disease, using MRI imaging data. Alzheimer's disease(AD) often described as ...
  • Towards solving perception based autonomous driving assistant system 

    Hossain, Md. Arafat; Rahman, Md. Sazidur; Islam, Md. Jisan Bin; Bhuiyan, Sazzad Alam (Brac University, 2021-09)
    This thesis scrutinizes the problem of perception in the self-driving car system. Selfdriving car is the face of the future and the decade’s research focus. Tech giants like Google, Uber, Tesla, Commai, Intel MobilEye ...
  • Implementation of real-time rickshaw hiring application 

    Haque, Md. Monzurul; Saquib, Ahmed; Baishnab, Monika; Hossain, Md Navid; Reza, Na s Bin (Brac University, 2021-06)
    Steps to eliminate the issue of rickshaw hiring are now a severe need. Furthermore, the best solutions to the problem are developing an algorithm and implementing a rickshaw app. Besides that, many people believe that ...
  • Automatic brain tumor segmentation using U-ResUNet chain model approach 

    Alam, Mohd Tanjeem; Nawal, Nafisa; Nishi, Nusrat Jahan; Sahan, MD Samiul; Islam, Mohammad Tanjil (Brac University, 2021-09)
    Identifying brain tumors precisely within the early stage is still a challenging problem for the medical sector consistent with recent research. In a previous research approved by Cancer. Net Editorial Board, it was ...
  • 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 ...
  • Automated online exam proctoring system using computer vision and hybrid ML classi er 

    Hossain, Zarin Tahia; Roy, Protyasha; Nasir, Rina; Nawsheen, Sumaiya (Brac University, 2021-10)
    The term online proctoring comes hand in hand with online education. There are not many exceptions between traditional education and the online education system except for the fact that online education, as well as online ...
  • Deep learning-based waste classification system for efficient waste management 

    Nakib, Abdullah Al; Talukder, Md. Nayem; Majumder, Chinmoy; Biswas, Soptorshi; Hassan, Jabid (Brac University, 2021-10)
    A smart waste management system plays a vital role in building cleanliness, hygienic, and healthier living for the inhabitants of a city. However, the inherent problems of the waste management system are still a matter ...

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