Now showing items 161-180 of 1402

    • Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning 

      Sarkar, Ripa; Hassan, Md. Mehedi; Azad, Farin Beante; Hossin, Md. Nibras (Brac University, 2022-09)
      Internet-based applications like social media platforms and blogs have exploded in popularity, and with them have come reviews and commentary on people’s daily lives. Unfortunately, the vast majority of these evaluations ...
    • Demystifying second hand car market in Bangladesh using multimodal machine learning techniques 

      Islam, Roman; Rahman, Arman; Rahman, Asifur; Ferdous, Wasiq; Arman, Sk.MD.Golam (Brac University, 2023-01)
      When a person plans to buy or sell a car in an overly-crowded second-hand market, it is often difficult to estimate accurate prices. People are frequently duped by scalpers into purchasing cars that are not worth the base ...
    • Detecting sarcasm in Bengali comments using NLP 

      Chowdhury, Md. Jamiur Rahman (Brac University, 2023-01)
      Natural Language Processing (NLP) is a subset of Machine Learning which resides at the intersection of Linguistics and Computer Science. It deals with the capability of computers to learn and work with human languages. ...
    • Classification of peripheral blood cell images using deep learning 

      Aadi, Oyshik Ahmed; Akash, Md.Meghdad Hossain; Ishraq, Fahim; Hossain, Asif; Al Fahim, Abdullah (Brac University, 2023-01)
      Diagnosis and Identification of cells and disease infected cells are and important part of in medical science that bears huge significance even today. There are health implications can often be identified my observing ...
    • Introducing AI in garment fault detection using YOLOv5 to reduce bottleneck 

      Sanjana, Jasia; Al Muhit, Abdullah; Zia, Asma (Brac University, 2023-08)
      In order to reduce manpower and bottleneck in the inspection system of industrial garments, we explored the application of the YOLOv5 model using our very own dataset of defective clothing pieces. The economy of Bangladesh ...
    • Content based image search in openstack swift 

      Ali Uday, Mir Rownak; Islam Sakif, Md. Sadiqul (Brac University, 2021-09)
      The OpenStack Object Store, also known as Swift, is a cloud storage software. Swift is optimized for durability, availability; also concurrency across the entire data set. However, Swift does not have a proper technique ...
    • CancerCare: A reliable and secured self-supervising and interactive system using deep learning 

      Khisa, Pushpakali; Hossain, Arisha; Raihana, Anika; Khan, Alisha; Tonu, Tamanna Sultana (Brac University, 2023-01)
      Cancer is the ultimate global health issue in the 21st century, as its burden is in creasing day by day. In the year 2020 [36], 18.1 million cancer cases were estimated, where 9.3 million were men and 8.8 million were ...
    • Mental health analysis of cancer-diagnosed patients with the lowest survival rate and their caregivers 

      Orchi, Irin Hoque; Prarthona, Sabrina Tajrin; Tabassum, Nafisa; Hossain, Jaeemul; Ishti, Iftekhar Alam (Brac University, 2023-05)
      Throughout the world, millions of people and their families are impacted by the serious illness of cancer. The total number of new cancer cases worldwide in 2020 was predicted to reach 18.1 million. Serious emotional ...
    • A comparative analysis of the different CNN-LSTM model caption generation of medical images 

      Amin, Mahzabin Yasmin Binte; Shammo, Weney Hasan; Sayed, Jawad Bin; Hossain, MD Junaied (Brac University, 2023-05)
      The intent of this paper is to make the process of interpreting and understanding information within ultrasound pictures simpler and quicker by addressing the lack of techniques for automatically deciphering medical ...
    • Categorization of human monkey-pox from skin lesion images based on transformer and ensemble learning using GRADCAM 

      Hassan, Ibne; Tahsin, Raida Mobashshira; Toma, Sadia Shara; Utchhash, Tausif Tazwar Quadria (Brac University, 2023-01)
      As the world keeps healing from the worldwide outbreak of COVID-19, the MPOX virus poses a new risk. The Mpox virus is not as deadly or contagious as COVID-19, but new patient cases are recorded every day from a wide ...
    • Identifying Bangla deceptive news using machine learning and deep learning algorithms 

      Piyal, Anindya Roy; Iqbal, Shams; Rohan, Anupom Ray; Zaman, Nowshin; Meheja, Nowshin (Brac University, 2023-05)
      Internet-based resources are utilized by the vast majority of individuals today. The news published on websites and shared on social media platforms are examples of such resources. Due to the increasing number of content ...
    • 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 ...