Browsing by Subject "Deep Neural Network"

Now showing items 1-8 of 8

    • 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 ...

    • Autonomous fault diagnosis of commercially available PV modules using high-end deep learning frameworks 

      Tasawar, Ihtyaz Kader; Tanzeem, Abyaz Kader; Ahmed, Tahmid; Zarin, Shah Faiza (Brac University, 2021-06)
      Conventional methods of fault diagnosis for PV Systems are quite challenging and inefficient, particularly with regards to large-scale PV arrays. Early and effective diagnosis of system faults is also imperative in order ...

    • A color vision approach considering weather conditions based on auto encoder techniques using deep neural networks 

      Raj, Mohammad Mainuddin; Tasdid, Samaul Haque; Nidra, Maliha Ahmed; Noor, Jobaer; Ria, Sanjana Amin (Brac University, 2021-01)
      Color vision approach is a riveting field of technology crucial in pioneering innovations like autonomous vehicles, autonomous drone deliveries, automated stores, robots, infrastructure and surveillance monitoring programs ...

    • Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models 

      Islam, Tahsin; Absar, Shahriar; Nasif, S.M. Ali Ijtihad; Mridul, Sadman Sakib (Brac University, 2021-10)
      The world is going through a severe viral pandemic which is caused by COVID- 19. People infected with this virus, experience severe respiratory illness. The virus spreads through particles of saliva or droplets from an ...

    • Emotion detection using EEG signals 

      Hossain, Mohammad Adnan (Brac University, 2021-06)
      Emotions play a vital role in how people feel, think and act which makes it worthwhile for analyzing human behavior. As the patterns of emotions and their reflections differ from person to person, their study needs to be ...

    • 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 ...

    • Quantum error correction using quantum convolutional neural network 

      Mishu, Niloy Deb Roy; Meem, Fatema Islam; Ridwan, A. E. M; Rahman, Mohammad Mushfiqur; Mary, Mekhala Mariam (Brac University, 2021-06)
      Quantum computing with its powerful attributes - entanglement and superposition, is revolutionizing modern computation. Moreover, quantum computation can be applied to a wide range of real-world applications, including ...

    • Real time action recognition from video footage 

      Apon, Tasnim Sakib; Chowdhury, Mushfiqul Islam; Reza, MD Zubair; Datta, Arpita; Hasan, Syeda Tanjina (Brac University, 2021)
      Crime rate is increasing proportionally with the increasing rate of the population. The most prominent approach was to introduce Closed-Circuit Television (CCTV) camera-based surveillance to tackle the issue. Video ...