Now showing items 621-640 of 1497

    • An efficient deep learning approach to detect skin Cancer 

      Islam, Ashfaqul; Khan, Daiyan; Chowdhury, Rakeen Ashraf (Brac University, 2021-09)
      Each year, millions of people around the world are affected by cancer. Research shows that the early and accurate diagnosis of cancerous growths can have a major effect on improving mortality rates from cancer. As human ...
    • Detection of intracranial hemorrhage on CT scan images using convolutional neural network 

      Rahman, Afridi Ibn; Bhuiyan, Subhi; Reza, Ziad Hasan; Zaheen, Jasarat; Khan, Tasin Al Nahian (Brac University, 2021-09)
      Intracranial hemorrhage is an acute bleeding within the skull which can damage the brain tissue and can eventually lead to disability or even death. It is a serious medical condition that occurs when blood is built up ...
    • Predicting regional accents of Bengali language using deep learning 

      Ibrahim, Md. Abu; Nayeem, Md. Nawaz-S-Salekeen; Al Arabi, Sadaf (Brac University, 2021-09)
      Accent is a huge challenge in communication for all languages. Different people who speak the same language might pronounce the same word differently. In a conversation, if two people are from different regions and they ...
    • One voice is all you need: a one-shot approach to recognize you 

      Dipto, Shahriar Rumi; Nowshin, Priata; Ahmed, Intesur; Chowdhury, Deboraj; Noor, Galib Abdun (Brac University, 2021-09)
      Human knowledge can quickly learn any unfamiliar concepts based on what they have previously learned. Keeping this in mind, researchers tested training models with limited training data in machine learning classification ...
    • Early detection of diabetic retinopathy using deep learning techniques 

      Gomes, Veronica Jessica; Alavee, Kazi Ahnaf; Sarda, Anirudh; Akhand, Zebel-E-Noor (Brac University, 2021-10)
      We, humans, are the bearer of diseases. While most of them have a thoroughly researched and contemplated solution set, some of them do not. Diabetes is one of those common diseases that do not have a clear solution but ...
    • A deep learning approach towards soft biometrics attributes prediction using CNN 

      Kibria, Maharab; Tabassum, Ilmi; Ahmed, Fardin; Habib, Nahian (Brac University, 2021-09)
      Any physical, behavioural or adhered human characteristics that we can observe from a person is known as Soft Biometric.The most common physical soft biometric attributes are height, age, ethnicity, facial hairs, gender, ...
    • Homeland - a project by Aveneur Solutions 

      Rahman, Ashiqur (Brac University, 2021-09)
      Aveneur Solutions is an aesthetic-first web design, digital content, and software development company - serving businesses both large and small. It is a creative IT company that provides a diverse set of services tailored ...
    • IoT based parking system: prospects, challenges, and beyond 

      Quader, Shafquat Mahmud; Nova, Salma Hani; Talukdar, Saumitra Das; Sayeed, Md.Shaba; Sadab, Mubtasimur Rahman (Brac University, 2021-09)
      The world is getting populated over time and with that number of cars per space is increasing. Parking gets complicated for people over time. Over the development of the Internet of Things (IoT), many parking systems get ...
    • Finding ideal geographical location for businesses using machine learning technique 

      Mahmud, Mir Ibtid; Chowdhury, Onez; Alvee, Yashwant; Sadman, Tawsif; Shaon, Imrul Haque (Brac University, 2021-09)
      The world has become a place where the economy is at the epicenter of it all. World economic growth has paved the way for people to enrich their lives with all sorts of blessings. A major chunk of this shift in the world's ...
    • Sentiment analysis using Natural Language Processing (NLP) & deep learning 

      Islam, Kazi Minhazul; Reza, Md. Safkat; Yeaser, MD. Samin (Brac University, 2021-09)
      It is an age of the Web and electronic media, and social media stages are one of the foremost frequently used communication mediums these days. But a few individuals utilize these platforms for a noxious reason and among ...
    • Credit card fraud detection using machine learning techniques 

      Kabir, Tasmia; Nishat, Tahnin; Tory, Saria Bulbul (Brac University, 2021-09)
      The extensive use of the internet is perpetually drifting businesses to incorporate their administrations in the online environment. As a result of the development of e-commerce websites, people and monetary corporations ...
    • A texture based industrial fault diagnosis model using Gammatone Filter Bank and transfer learning 

      Morshed, Atique; Siraj, Farhan Md.; Munim, Abu Sadat MD.; Ayon, Tasnimul Karim; Goni, Saad Rafsan (Brac University, 2021-09)
      Rapid industrial growth has increased the vulnerability of systems to malfunction and permanent damage. Fault detection systems have been installed to prevent such occurrences. In order to eliminate potential life-threatening ...
    • Recognition of Bangladeshi sign language from 2D videos using openpose and LSTM based RNN 

      Dewanjee, Tanmoy; Nuder, Azibun; Malek, Md. Imtiaz; Nanjiba, Refah; Rahman, Atia Anjum (Brac University, 2021-02)
      Sign-language recognition is an essential part of computer vision to solve a communication obstacle between the deaf-mute and the common. Bangladeshi Sign Language (BdSL) is the medium of communication of the deaf and dumb ...
    • Data security model using deep learning and edge computing for Internet of Things (IoT) in smart city 

      Aziz, Md. Yasin; Kabbo, Tanjid Alam; Tahsin, Tasnuva; Zumme, Nadia Haque; Tahsin, Mohammad Sadman (Brac University, 2021-09)
      In the current ongoing world of the IoT (Internet of Things) devices, it is absolutely vital to have a safe, secure and reliable cyberspace. A cyberspace or network where it is free from all sorts of unethical activities ...
    • A machine learning approach to detect DeepFake videos 

      Hassan, Md. Mahedi; Nawrin, Na sha (Brac University, 2021-06)
      DeepFake detection is important as the internet is a big part of our lives. DeepFake photos and videos can easily mislead us into thinking something that probably did not happen. It can also reduce trust in the media. ...
    • An efficient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling 

      Sagor, Mostofa Kamal; Jahan, Ishrat; Chowdhury, Susmita; Ansary, Rubayet (Brac University, 2021-01)
      Among the most convenient bacteriological assessments for the diagnosis and treatment with several health complications is the chest X-Ray. The World Health Organization (WHO) estimates, for instance, that pneumonic plague ...
    • Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning 

      Datta, Pranab; Islam, Saniul; Das, Retuparna; Zabir, Mihiran Uddin (Brac University, 2021-01)
      Retinal disease diagnosis by machine learning can be achieved using Deep Neural Network based predictors. Use of Explainable Artificial Intelligence (XAI) has the potential to explain the black box of those neural network ...
    • Analyzing area-wise air pollution level using machine learning for a better future 

      Sihan, Sk. Atik Tajwar; Rabbani, Maisha; Agarwala, Manish; Maliha, Sanjida Alam (Brac University, 2021-09)
      Environment consists of nature and surroundings where all living beings co-exist. Harming the environment will in turn harm all living and non-living things alike. One of the major concerns of environment pollution is ...
    • A blockchain-driven framework designed for pharmaceutical community to secure and trace the trail of drug supply chain 

      Rahman, Samiha; Aquib, Arif Awasaf; Jyoty, Watry Biswas; Rahman, Moshiur; Dewan, Tamanna (Brac University, 2021-09)
      Our quality of life relies heavily on health products, which marks our dependence on the pharmaceutical industry. Drug safety is very important to ensure that our life-savers do not turn out to be the cause of our death. ...
    • Detection of multiple sclerosis using deep learning 

      Jannat, Sabila Al; Hoque, Tanjina; Supti, Nafisa Alam (Brac University, 2021-01)
      Accurate detection of white matter lesions in 3D Magnetic Resonance Images (MRIs) of patients with Multiple Sclerosis is essential for diagnosis and treatment evaluation of MS. It is strenuous for the optimal treatment of ...