Browsing by Subject "ResNet50"

Now showing items 1-20 of 27

    • Analyzing students’ concentration in online courses through Webcam 

      Asif, Md.; Hossain, Md. Imtiaj; Sharkar, Fouzia; Islam, Md. Mohaimenul (Brac University, 2024-01)
      Online learning is growing in popularity these days. As a result, students typically contribute millions of course-related responses to discussion forums and exchange some learning experiences. This study focuses on ...

    • Approaching transfer learning to identify correctly worn facial masks 

      Sadid, Tausif; Hossain, Md Sadik; Sengupta, Sudip Kumar; Khondaker, Serazam Munira (Brac University, 2021-06)
      Climate change has made the outbreak of diseases, especially airborne and contagious diseases much more extreme. Therefore, wearing masks has become essential in protecting ourselves not only from very common airborne ...

    • Automatic motor vehicle number plate recognition 

      Saha, Krishno; Ishrak, Parvez; Shovon, Jahid Hossian; Abir, Alinur Rahman (Brac University, 2024-01)
      The purpose of this initiative is to develop automatic motor vehicle number plate recognition (Bangla) using machine learning, identifying and taking out the numbers of license plates from photos. By using this system ...

    • Bone age comparison using convolutional neural network 

      Nawaz, Fariha; Akib, Md. Samiul; Imtiaz, Asif; Ahmad, Sakib Uddin (BRAC University, 2019-04)
      In the last few years,Machine Learning has taken the world by storm. From predictive web browsing to the email and text classi cation,from the autonomous car to facial recognition, machine learning is the main core of ...

    • Brain tumor segmentation from MRI images using convolutional neural networks 

      Khan, Mushfiqur Rahman (Brac University, 2022)
      Brain tumors result from the accumulation of abnormal cells inside the brain. The process of brain tumor segmentation plays a vital role in detecting early-stage brain tumors. There are several challenges in the tumor ...

    • 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 ...

    • Classification of potato and corn leaf diseases using deep learning 

      Mahbub, Sheikh Alima; Siddique, Mayisha; Hasan, Tasmia; Tasmeem, Nazia; Proma, Rubaba Aziz (Brac University, 2024-06)
      One of the major hindrances to sustainable agriculture and an imminent threat to food security is plant disease. Constantly monitoring a plant’s health and spotting the problems in it is quite painstaking because it ...

    • Covid-19 infected lung detection using machine learning 

      Islam, Md. Muntaha; Afiat, Mashfurah; Biswas, Adrita; Syffullah, Md Khalid; Rishan, Asadur Rahman (Brac University, 2021-01)
      In every 100 years, there has been a pandemic all around the world. The globe faced Plague, Cholera, and Spanish Flu in the years 1720, 1820, and 1920, respectively. Coronavirus, commonly known as Covid-19, is currently ...

    • Criminal activity detection using deep learning algorithms 

      Tasnim, Zarin; Shahid, Syeda Sanjana; Quayum, Sofana; Barsha, Umme Habiba (Brac University, 2021-01)
      Criminal activities using guns and knives occur very frequently. The quick and accurate detection of a criminal activity is paramount to securing a place where people usually gather every day. More and more security ...

    • A deep learning approach for pneumonia classification from chest X-Ray images with ensemble modelling and explainable AI 

      Akhter, Nasrin (Brac University, 2021-06-08)
      Pneumonia is one of those frightening diseases that has a high mortality rate among children and the elderly, with an estimated 2 million fatalities per year. Pneumonia affects the poorest people in Africa and Asia the most, ...

    • Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network 

      Choudhury, Prionto Kumar; Anika, Asma Akter; Ramisa, Sumaiya Rahman; Zaman, Arsi; Chowdhury, Rizvee Rifat (Brac University, 2024-01)
      Ocular toxoplasmosis (OT) is often diagnosed by a specialist by the examination of fundus images of the eye. While deep learning is commonly used to process and identify diseases in medical images, ocular toxoplasmosis ...

    • Detecting brain tumor using deep neural networks from MRI images 

      Imamuzzaman, A.S.M.; Sakline, Redwan Islam; Junaed, Sayed Rafi; Hossain, Mohammad Iqbal; Das, Dipto (Brac University, 2021-06)
      A brain tumor is a collection of abnormal cells growth in brain. It is a neurological disease which causes great damage and affects other healthy cells of brain. It can be cancerous or non-cancerous. Nowadays, people are ...

    • 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 ...

    • 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 ...

    • EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence 

      Mim, Ankhi Akter; Ashakin, Kazi Habibul; Hossain, Sadat; Orchi, Nabiha Tasnim; Him, Al Shahriar (Brac University, 2024-01)
      Advances between medical imaging and artificial intelligence (AI) have led to improvements in cancer diagnosis and classification. This paper provides a new framework called Explainable AI for cancer categorization ...

    • An efficient deep learning approach to detect retinal disease using optical coherence tomographic images 

      Khan, Farhan Sakib; Ferdaus, Nowshin; Hossain, Tamim; Islam, Quazi Sabrina; Islam, Md. Iftakharul (Brac University, 2022-05)
      Optical Coherence Tomography (OCT) is an effective approach for diagnosing retinal problems that can be used in combination with traditional diagnostic testing methods. We developed and implemented a deep Convolutional ...

    • An efficient face recognition model using multiple angular images and deep neural network architecture 

      Subah, Silma; Nath, Arpita; Armisha, Mitheela das; Binte Sakhawat, Sumaiya; Alam Parbo, Md Nuhas (Brac University, 2023-01)
      Face surface information in three dimensions is one of the promising biometric modality that can improve the identification and increase the accuracy of verification of face recognition systems in challenging situations.This ...

    • 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 ...

    • Identifying brain abnormalities using image processing and CNN models 

      Talukder, Ismat Shehrin; Ninty, Rifa Tasmim; Saimon, Md. Galib Hamza; Akbar, Shafkat Asif (Brac University, 2021-06)
      In a developing country like Bangladesh, it is tough to detect a brain abnormality, i.e., Pituitary tumor, Glioma, Meningioma, etc., in an early stage and treat them accordingly. In our proposed system, ML(Machine Learning) ...

    • Interpretable COVID-19 classification leveraging ensemble neural network and explainable AI 

      Dipto, Shakib Mahmud; Afifa, Irfana; Kabir, Sumya (Brac University, 2021-06)
      COVID-19 which is also none as Corona Virus Disease is rst discovered in a city of China named Wuhan at December 2019 and it has been announced as a global pandemic at the middle of 2020. SARS-CoV-2 virus COVID-19 and ...