Browsing by Subject "ResNet"

Now showing items 1-8 of 8

    • Comparative analysis of machine learning techniques in optimal site selection 

      Aurnab, Aukik; Choudhury, Shaktiman; Ruhan, Shoubhick Roy; Rifaiya Abrar, Shikh Muhammad; Hossain Rabbi, S.M. Riyadh (Brac University, 2023-01)
      Site selection is a crucial aspect of many businesses, as a company’s location can sig nificantly impact its success. In recent years, machine learning techniques have been increasingly used to assist with optimal site ...

    • 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 ...

    • Detection of coronary artery blockage at an early stage using effective deep learning technique 

      Promit, Tahmid Ashrafee; Khan, Md. Akibur Rahman; Arnob, Nahian; Rashid, Rabbi Nur; Reza, Afif (Brac University, 2022-09-28)
      A coronary artery blockage is a form of coronary artery disease also known as CAD. It is the most common and frequent disease affecting the human body over the age of 65. CAD is a type of cardiovascular disease that ...

    • Early detection of cervical cancer using deep neural networks 

      Akhund, Atoshi; Ahmad, Saad; Taki, Sarwar Siddiqui (Brac University, 2022-05)
      Cervical cancer is a disease that is mostly preventable, but it is one of the major causes of cancer fatality in women worldwide. Several studies say that annually 2,60,000 women die because of cervical cancer. Chronic ...

    • An Efficient deep learning approach to detect Brain Tumor using MRI images 

      Islam, Annur Tasnim; Apu, Sakib Mashra; Sarker, Sudipta; Hasan, Inzamam M.; Shuvo, Syeed Alam (Brac University, 2021-10)
      A brain tumor is the development of mutated cells in the human brain. Many di er- ent types of brain tumors exist nowadays. According to researchers and physicians, some brain tumors are non-cancerous while some are ...

    • FoodieCal: a convolutional neural network based food detection and calorie estimation system 

      Mashraf, Chowdhury Zerif; Ayon, Shahriar Ahmed; Yousuf, Abir Bin; Hossain, Fahad (Brac University, 2021-01)
      According to recent studies across the world, we can see that a healthy diet is the key to having a sound health and body. People nowadays are more concerned with their diets than ever before. With the advancement of ...

    • 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 ...

    • Leveraging robust CNN architectures for real-time object recognition from conveyor belt 

      Moon, Nowrin Tasnim; Siddiqua, Sabiha Afrin; Parvin, Shahana; Muntaha, Sidratul; Hassan, K.M. Mehedi (Brac University, 2023-01)
      In the innovative era, the problem of recognizing undesirable objects and individuals on conveyor belts is addressed by various architectural or algorithmic approaches. Conveyor belts are those by which things go in a ...