School of Data and Sciences (SDS): Recent submissions

Now showing items 421-440 of 2374

    • Securing ownership management and transfer of consumer IoT devices with blockchain-based Self Sovereign Identity (SSI) 

      Sakib, Nazmus; Mumu, Marzia Islam; Momo, Nuran Mubashshira (Brac University, 2023-06)
      With the power of automation and connectivity, the use of IoT devices is increasing over the last 10-12 years consistently. IoT devices are taking place in our homes beside industries with the capability of collecting datas ...

    • Real-time crime detection using convolutional LSTM and YOLOv7 

      Sakiba, Cyrus; Tarannum, Syeda Maisha; Nur, Farzana; Arpan, Fahad Faisal; Anzum, Ahnaf Ahmed (Brac University, 2023-05)
      The principal goal of this study is to create a crime detection system in real-time that can effectively handle closed-circuit television (CCTV) video feeds and evaluate them for possible criminal occurrences. The system’s ...

    • Homomorphic encryption on deep learning in accurate prediction of brain tumour 

      Sarwar, Arafat; Hossain, Shakhawat; Bhuiyan, Risum Ahmed; Mahmud, Tanun (Brac University, 2023-01)
      The brain is the most complicated organ that manages every bodily function as well including intellect, memory, emotion, taste, motor skills, vision, respiration, temperature, and appetite. Any type of disease or damage ...

    • Deep learning based arrhythmia classification on low-cost and low-compute MCU 

      Zishan, Md Abu Obaida; Shihab, H M; Rahman, Gazi Mashrur; Islam, Sabik Sadman; Riya, Maliha Alam (Brac University, 2023-01)
      According to WHO, cardiovascular disease (CVD) is the leading cause of death glob ally. Unfortunately, these diseases are difficult to diagnose without proper equip ment which is not cheap. One of the reasons for such a ...

    • A comparative study of traffic detection using Google map (GPS) and IoV 

      Alam, Mohd. Touhedul; Al Nayeem, Harun (Brac University, 2021-06)
      Everyone knows that time is money and nowadays people spend quite a large amount of time on the roads in their daily life. The reason behind this is nothing but ‘Traffic’. Traffic detection and navigation has gone through ...

    • Comparative performance analysis of SDN vs traditional networks using SDN controller 

      Shahriar, Md. Sakib; Sabit, Jahid Hossain; Ahmed, Akib; Amiruzzaman (Brac University, 2023-01)
      New difficulties have been presented to the future of the Internet by emerging devel opments in information and communication technology (ICT) and numerous Inter net services, with high priority given to dynamic maintenance ...

    • Automated image caption generator in Bangla using multimodal learning 

      Rodoshi, Mashiat Hasin; Ahmed, Moin Uddin; Ashraf, Md. Sobhan; Mim, Md. Galib Hasan; Khanam, Ashfia (Brac University, 2023-01)
      Experiencing an image on-screen is a privilege that we often seem not to care about. A visually impaired person does not have that luxury. A system that can automatically produce closed captions of an image can thus help ...

    • Detection of pneumonia from chest X-ray images using machine learning 

      Priya, Afsana Rahman; Sarkar, Kashmira; Khan, Tania Rahman; Turna, Sohani Fatehin; Mubashshira, Sadia (Brac University, 2023-05)
      A bacterial infection is the cause of the lung condition known as pneumonia. An essential component of a successful treatment procedure is early diagnosis. Without early diagnosis, pneumonia can be severe or even can cause ...

    • LRFMVD : a customer segmentation model 

      Sagor, Kawsar Mahmud; Sadhin, Masrur Arefin; Jahan, Ishrat; Prottay, Rezwanul Karim (Brac University, 2023-05)
      Customer segmentation is a big part of the superstore industry. Traditionally, the RFM model has been used to segment customers to maximize profit. This work proposes a new customer segmentation named LRFMVD based on ...

    • Comparative analysis of machine learning models for stock price analysis across different dataset sizes 

      Srabon, Abir Alam; Abrar, Mahmudul Hasan; Rahman, Nimur; Ahmed, Washif Uddin; Hridy, Salamat Sajid (Brac University, 2023-05)
      The nature of the stock market has always been ambiguous as it constantly fluctuates for various factors. The regular fluctuations have always made it difficult for investors to invest. This paper compares six different ...

    • A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer 

      Nawrin, Ishrat Nur; Trina, Tonusree Talukder (Brac University, 2023-05)
      Skin cancer is one of the most lethal and increasingly prevalent cancers in the world. Skin cancer develops when the epidermal (top layer of skin) cells divide abnormally, causing it to spread to other regions of the human ...

    • License plate recognition 

      Chowdhury, Mohammed Abrar Ahasan; Rozaik, Soyelim Al; Shanto, Mahedi Hasan (Brac University, 2023-05)
      In today’s ever-growing technological society, Automatic License plate Recognition, ALPR, has many implications for solving traffic-related applications and transporta- tion planning. Identifying cars in pursuit or stolen ...

    • Tomato leaf disease detection using convolutional neural network 

      Hasan, Md. Riazul; Hossain, Md. Shajib; Islam, Md. Minhajul; Rahman Apu, Md. Rejoanur; Moli, Farzana Akter (Brac University, 2023-01)
      The fertile soil and easy access to water make agriculture more suitable and valu able for Bangladesh. Most people are directly or indirectly dependent on agricultural products for their livelihood. Agriculture plays an ...

    • Automated feedback test generation and functionality testing for UI development with self-guided recommendation 

      Hasan, Md.Tanvir; Durjoy, S.M. Hazzaz; Hasan, Jahidul; Binte Zafar, Mahazabin (Brac University, 2023-01)
      UI development is the most integral part of the Software Development Life Cycle and testing the functionality of the UI is also as much important during the Software Testing Life Cycle of any software project. Without ...

    • A machine learning-based approach for data analysis to ascertain suicidal individuals from Social media users 

      Nahar, Fatiha Binte Kamrun; Afsana, Umme Halima; Chowdhury, Azizul Muktadir; Hasnaen, Maha; Jahan, Sumaya (Brac University, 2023-01)
      In this research, we propose a hybrid model for predicting suicide risk from text data that incorporates BERT, VADER, and a Random Forest classifier for sentiment analysis. This model aims to identify individuals who may ...

    • Finding location-specific aggregated air quality index with smartphone images using deep convolutional neural network 

      Mondal, Joyanta Jyoti; Rhidi, Nowsin Kabir (Brac University, 2023-01)
      Although smartphones have already become the de facto tool for environmental health research for their ubiquity and portability, utilizing them in finding location specific aggregated air quality index based on PM2.5 ...

    • Bank loan prediction using machine learning 

      Mahottam, Parthosarothi; Anika, Antara Raida; Jahan, Dilshad; Lazika, Tanzina Afrin (Brac University, 2023-05)
      The Banking sector is a core foundation of the global economy as it facilitates the financial transactions while providing fundings in various purposes. One key aspect in the banking industry is the ability to accurately ...

    • Revolutionizing microfinance: a blockchain-driven decentralized finance (DeFi) model for collateral-free loans 

      Tasin, Md. Ishmam; Hossain, Md. Rabib; Chowdhury, Nahin; Alam, S.M. Azwad-Ul- (Brac University, 2023)
      Microfinance, providing essential banking services to low-income and unbanked individuals, faces numerous challenges such as high-interest rates, cumbersome intermediary processes, and lack of transparency. Decentralized ...

    • Sentimental analysis of customer product Reviews to understand customer needs using machine learning 

      Symum, Md Abdullah Al; Sheemu, Subarna Yeasmin; Asif, Abu Saleh Md.; Islam, Konika (Brac University, 2023-05)
      People are influencing aspects of the digital world through machines. As a result, it is crucial to upgrade and use this aspect to do so. In the past, people used written letters to provide feedback. However, people are ...

    • Characterization of acinetobacter baumannii from hospital-adjacent waterbodies in Dhaka city 

      Saiyan, Zwad Al; Jahan, Afia (Brac University, 2023-06)
      Acinetobacter baumannii has become a significant pathogen over the last few decades. It is naturally found in food, soil, and surface water but in clinical settings, it has demonstrated increasing health problems and ...