Now showing items 1-18 of 18

    • Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet 

      Al-imran; Shams, Baniamin; Nasim, Faysal Islam (Brac University, 2019-08)
      Despite signi cant recent achievements in the eld of face recognition, implementing proper face recognition system by training enough data is still a problem because not everyone has enough photos that we can use to ...
    • Anti-aliasing for real-time applications in 3D using deep convolutional neural network 

      Siam, F. M. Jamius; Prince, Zahidul Islam; Bari, Ahmed Na sul (Brac University, 2020-04)
      In this paper we present a convolutional neural network model for solving the long- standing aliasing problem in the real time 3D graphics industry. Aliasing refers to the problem of having hard jagged edges in the ...
    • 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 ...
    • Bangla sign language recognition and sentence building using deep learning 

      Shurid, Safayet Anowar; Amin, Khandaker Habibul; Mirbahar, Md. Shahnawaz; Karmaker, Dolan (Brac University, 2020-04)
      Modern age being the era of Information technology, it would not have come this far without the piled up data or information. Whereas communication is the basis of collecting or gathering data or information, almost 5% ...
    • 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 ...
    • Classi cation of magnetic configurations using machine learning algorithms 

      Bokul, Saffat; Abdus Shukur, Samiha Sabrin Md; Ahmed, Saquib (Brac University, 2019-08)
      Machine learning is used to carry out e cient studies and analyses in the eld of condensed matter physics. We propose comprehensive machine learning approaches that would classify between magnetic structures. We propose ...
    • Classification of damaged vegetation areas using convolutional neural network over satellite images 

      Haque, Samiha; Rahman, Nazibur (Brac University, 2021-01)
      Forests and wild vegetation have always been highly significant natural resources throughout history and play a crucial role in keeping the climate and ecosystems well balanced. Over the years, there has been a growing ...
    • Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning 

      Niloy, Ahashan Habib; Shiba, Shammi Akhter; Fahim, S.M. Farah Al; Faria, Faizun Nahar; Rahman, Md. Jamilur (Brac University, 2015-08)
      Coronavirus 2019 (in short, COVID-19), originated in the Wuhan province of China in December 2019, has been declared a global pandemic by WHO in March 2020. Since its inception, it’s rapid spread among nations had initially ...
    • A Comparative study on Bengali handwritten character recognition and prediction using CNN 

      Abrar, Muntaqa; Kadir, Md Nazial; Faruk, Tabassum (Brac University, 2021-01)
      The transcription Bengali text to digital text is neither very efficient nor accurate. This proves to be a problem because most official work in Bangladesh is traditionally done in Bengali, on pen and paper hardcopy documents, ...
    • Efficient image processing and machine learning approach for predicting retinal diseases 

      Hasib, Mehadi Hasan; Sultana, Tasnim; Chowdhury, Chandrika (Brac University, 2020-04)
      As the computational technology and hadrware system improved over time, the use of neural network in image processing has become more and more prominent. Soon deep learning also caught the attention of the medical sector ...
    • Emotion recognition from facial expression of autism spectrum disordered children using image processing and machine learning algorithms 

      Tasnim, Nishat; Khwaja, Atiya; Rashid, Humayra (BRAC University, 2018-12)
      Emotion recognition from facial expression is one of the most popular research sectors in Computer Science for last several years. As face recognition of different people is already established and become very common in ...
    • Human Activity Recognition using wearable body sensor by machine learning approach 

      Promi, Sadia Tangim; Rahman, Md. Zahidur; Mostafa, Moumita; Harun, Sarah Bintay (Brac University, 2019-12)
      The prevalence of electronics devices and the increase in computer resources, like networking, storage, accessibility and sensor capacity, have significantly improved the lives of humans. Now a days most smart devices ...
    • Leaf classification by feature extraction using CNN 

      Bhuiyan, Md. Mazharul Islam; Nowshin, Jakia; Jaheen, Atkiya (Brac University, 2019-12)
      Plants are an integral part of our nature. The identification and classification of plant leaves has always been a matter of interest for the botanists as well as the laymen. Classification of plant leaves will enable ...
    • Malware detection in blockchain using CNN 

      Alam, Afreen; Islam, Humaira; Wamim, Sadman Arif; Ahmed, Md. Tanjim; Siddiqi, Hasnat (Brac University, 2021-01)
      The inherent decentralized nature and peer-to-peer system of the blockchain’s popularity has been on the rise in recent times and is being adopted in various innovative applications. This technology claims to be one of ...
    • Malware Detection Using Neural Network 

      Kayum, Syed Irfan; Hossain, Humaira; Tasnim, Nafisa; Paul, Arja; Rohan, Alim Aldin (Brac University, 2021-01)
      One of the great and major issues facing the Internet today is a large amount of data and files that need to be analyzed for possible malicious purposes. Malicious software also referred to as an attacker’s malware is ...
    • Multi-modal emotion recognition for determining employee satisfaction 

      Hussain, Saadat; Zaman, Farhan Uz; Zaman, Maisha Tasnia; Kabir, Nahian (Brac University, 2020-04)
      Emotion Detection has been very popular in the field of research for a couple of years. In the past, emotion recognition has been studied and applied in order to detect the overall emotional state of a person using ...
    • Plant disease detection using convolutional neural network 

      Hossain, Mohammad Shifat; Noor, Fatin Ishraq; Ali, Mir Ayman; Alam, Ra ul (Brac University, 2020-04)
      Rice is a staple crop of Bangladesh and many metric tons of it are being destroyed every year due to diseases. If the diseases can be efficiently and accurately classified ed and recognized at early stage, the farmers ...
    • X-Ray classification to detect COVID-19 using ensemble model 

      Solaiman, Ishmam Ahmed; Sanjana, Tasnim Islam; Sobhan, Samila; Maria, Tanzila Sultana (Brac University, 2021-06)
      Diagnosis with X-Rays and other forms of medical images has soared to new heights as an alternative visual Covid infection detector. Radiographic images, primarily CT scans and X-Rays images play massive roles in assisting ...