Now showing items 581-600 of 1497

    • Heart disease prediction system 

      Amit, Tayab Al Azad; Fullkoli, Raida Nawar; Palit, Niloy; Nafisa, Farhana Khan; Binoy, MD Muntakim Ahmed (Brac University, 2022-01)
      [1]According to the World Health Organization (WHO), 17.9 million people die each year due to cardiovascular diseases (CVDs), almost 31% of all deaths worldwide. This single piece of evidence is strong enough to describe ...
    • Blockchain-based micropayment system for secured cashless small payments 

      Siam, Morshed; Mandal, Shovon; Keya, Mahmuda Akter; Dhar, Swarojani; Tahsin, H.M. Irfan (Brac University, 2021-09)
      The Internet of Things (IoT) is driving a tremendous digitization tsunami right now. IoT devices create huge amounts of data in the internet of everything era. Many IoT data services use distributed ledger technology ...
    • Generation of realistic images from human drawn sketches using deep learning 

      Mahbub, Mohammed Julfikar Ali; Rahmatullah, S. Afsan; Rahman, G M Sohanur; Zillanee, Abu Hasnayen; Akib, Aknur Kamal (Brac University, 2022-01)
      Processing sketches to produce realistic images is an intriguing idea in the world of emerging Artificial Intelligence. We present a Generative Adversarial Network (GAN) based methodology that creates satisfactory images ...
    • Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet 

      Promita, Samanta Tabassum; Biswas, Simon Abhijet; Mozumder, Nisat Islam; Taharat, Mamur (Brac University, 2022-01)
      Due to our unhealthy diets and the consumption of enhanced cholesterol in our daily lives, our health has become vulnerable and at risk of different types of cardiac diseases. The most common of them is Myocardial ...
    • Diabetic retinopathy detection and classification by using deep learning 

      Hossain, Shahriar; Evan, Md. Nurusshafi; Farhin, Fariya Zakir; Nabil, Mashrur Karim; Sadman, Sameen (Brac University, 2022-01)
      Eyes are the most sensitive part of a human being and it is one of the most challenging tasks for a computer-aided system to classify its diseases. Many visionthreatening diseases such as, Glaucoma and Diabetic Retinopathy ...
    • Novel approach to detect hate speech and profanity on online platforms 

      Pritha, Barha Meherun; Islam, Samin; Alam, Tabassum (Brac University, 2021-09)
      Hate speech is becoming more prominent and dominant in the virtual world, with the popularity of social media increasing day by day. People nowadays have various online platforms where they can express their hatred and ...
    • Reconstruction of images with RPCA and augmenting 3D model 

      Tahiti, Tasnia Jasim; Yusuf, Talha; Shakhawat, Chowdhury Abrar (Brac University, 2022-01)
      Crime scene photography is one of the most essential parts of documentation for all physical crime scenes in the field of forensic science. It is an organized and structured operation, having a goal of helping the ...
    • Voice impersonation detection using LSTM based RNN and explainable AI 

      Barua, Kawshik; Rahim, Abdur; Parizat, Prantozit Saha; Noor, Md.Asad Uzzaman; Jannah, Miftahul (Brac University, 2021-10)
      The advancing eld of arti cial synthetic media introduced deepfakes which made it easier to synthesize a person's voice, identical to their original voice mechanically to use it for negative means. People's voices are ...
    • An efficient deep learning approach to detect COVID-19 infected lungs using image data 

      Kabir, Asif Rezwan; Roy, Shutirtha; Zerin, Nusrat; Afrin, Sheikh Sharia; Choudhury, Anika Jahan (Brac University, 2022-01)
      The beginning of 2020 will always be a dreadful chapter in human history. Even with all the recent advancements in the medical sector, the COVID-19 virus proved to be a major challenge for doctors all over the world. The ...
    • Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques 

      Ahasan, Md. Mubtasim; Fahim, Mohammad; Mazumder, Himadri; Fatema, Nur E; Rahman, Sheikh Mustafizur (Brac University, 2022-01)
      Infectious and non-infectious respiratory diseases are among the major reasons for deaths, financial and social crises around the world. However, medical personnel still find it very difficult to detect the diseases using ...
    • Visual object classification from fMRI data 

      Newaz, Syed Mishar; Taseeb, Taslim Ahmed; Haque, Abdullah Nurul (Brac University, 2022-01)
      Computing devices were once limited in just calculating arithmetic. Whereas, in modern computing, complex task like object classi cation or recognition has become so popular that even our smart devices cannot be thought ...
    • Emotion analysis using machine learning model and deep learning model on DEAP dataset 

      Hasan, Anita; Abrar, Fahim; Sabur, Eshaan Tanzim; Muntasir, Iftehaj; Na sha, Sumaia Sadia (Brac University, 2021-10)
      Emotion has a signi cant in uence on how you think and interact with others. It serves as a link between how you feel and the actions you take, or you could say it in uences your life decisions on occasion. Since the ...
    • Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images 

      Hossain, Mainul; Haque, Shataddru Shyan; Ahmed, Humayun; Mahdi, Hossain Al; Aich, Ankan (Brac University, 2022-01)
      Colon cancer is one the most prominent and daunting life threatening illnesses in the world. Histopathological diagnosis is one of the most important factors in determining cancer type. The current study aims to create ...
    • A study on author ranking 

      Haq, Md. Adnanul; Islam, Md. Noushin; Jeba, Labiba Tasfiya; Prome, Iffat Afsara; Roy, Palash Ranjan (Brac University, 2021-09)
      In this research we have studied the problem of ranking papers and authors based upon their citations by other authors. Simple count of number of authors citing a particular paper or author may not be very representative ...
    • Traffic congestion detection and optimizing traffic flow using object detection, optical flow and fluid dynamics 

      Hossain, Md. Shahriyar; Bhuiyan, Md. Imtiaz; Dulali, Marjahan Akther (Brac University, 2022-01)
      Bangladesh has been suffering a severe traffic congestion issue ever since it has been on a high paced development roadmap. Researches regarding solving such traffic issue has been in the talks but has never reached a ...
    • A generic framework of three factor authentication with optional bio-metric or graphical password 

      Hossain, Mohammad Naveed; Zaman, Sheikh Fahim Uz; Khan, Tazria Zerin; Katha, Sumaiya Azad (Brac University, 2022-01)
      We live in a technological era where technology controls our lives in a good way or in a bad way. In today’s digital world we cannot imagine a single day without technology and for security for purposes we mostly rely ...
    • Flood prediction using machine learning models 

      Syeed, Miah Mohammad Asif; Farzana, Maisha; Namir, Ishadie; Ishrar, Ipshita; Nushra, Meherin Hossain (Brac University, 2022-01)
      Floods are one of nature’s most catastrophic calamities which cause irreversible and immense damage to human life, agriculture, infrastructure and socio-economic system. Floods are one of Bangladesh’s most common natural ...
    • Market demand analysis using NLP in Bangla language 

      Hossain, Md Sabbir; Nayla, Nishat (Brac University, 2021-09)
      Product market demand analysis plays a significant role for originating business strategies due to its noticeable impact on the competitive business field. Furthermore, there are roughly 228 million native Bengali speakers, ...
    • Cassava leaf disease classification using deep learning and convolutional neural network ensemble 

      Shahriar, Hasan; Shuvo, Protick Sarker; Fahim, Md. Saidul Haque; Sordar, Md Sobuj; Haque, Md Esadul (Brac University, 2022-01)
      Cassava is a high-protein and nutrient-dense plant, notably inside the leaves. Cassava is often used as a rice alternative. Pests, viruses, bacteria, and fungus may cause a variety of illnesses on cassava leaves. This ...
    • 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. ...