Browsing by Subject "Neural Network"

Now showing items 1-16 of 16

    • Assistive Guideline of Categorization for Competitive Programming Problems 

      Dhrubo, Najmus Sakib; Islam, Md Samiul (Brac University, 2021-06)
      Programming is a very useful skill nowadays. Programming contests give people the opportunity to increase their programming skills. By solving programming contest problems contestants can increase not only their programming ...

    • Deep 3D convolutional neural network in early detection of Lung cancer 

      Hossain, Khandoker Jobayer; Rana, Md. Jewel; Ajghar, Abdullah Ali; Alam, Nur-a-taj (BRAC University, 7/22/2018)
      Early detection of lung cancer is essential for the survival of patients. Lung Cancer remains the deadliest cancer in the world. Lung cancer diagnosis is still a time consuming and long awaiting process. The oncologist is ...

    • Deep learning in Malaria and Covid19 detection 

      Islam, Nahid; Sadat, Omar; Shaer, Tazwar Prodhan; Islam, Md. Adnan (Brac University, 2021-01)
      Recent days deep learning is a promising field of research which has been used in biological applications. It is deep learning which is used in biological image detection along with the transformation of analysis data ...

    • 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 detection from frontal facial image 

      Hussain, Sakib (BRAC University, 2013-10)
      Emotion recognition from facial images is a very active re-search topic in human computer interaction (HCI). In order to detect Emotion from an image I have used frontal view facial images. If computers can understand more ...

    • Fruit and vegetable freshness detection using deep learning 

      Haque, Md. Mahidul; Ahmed, Rehanul; Saha, Somak; Saha, Chamak; Dutta, Mayurakshmi (Brac University, 2022-09)
      Bangladesh’s economy depends on agriculture, which contributes significantly to GDP. It’s time to automate agriculture for increased productivity, efficiency, and sustainability. Computer Vision can assist in ensuring ...

    • Handwritten character recognition using neural network 

      Hussain, Shoumin Rafsun; Nelema, Mahima Noor; Kabir, Fahim M; Patwary, Mohammad Rasheduzzaman (Brac University, 2020-04)
      Handwritten character recognition is a process of a system to access handwritten material from various sources such as paper records, photographs, touch screen apps, etc. The identification of handwritten and electronic ...

    • High frequency rainfall prediction using machine learning approach to numerical weather modelling 

      Borna, Afsana Afrin; Ani, Ashfak Ahmed; Ashhab, Mahir; Saleh, Shahriar (Brac University, 2021-06)
      The weather has an impact on almost every aspect of our daily lives. Life would be much easier if we could control the weather. Until then, we will have to settle for trying to predict weather but weather prediction is ...

    • 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 ...

    • Human activity recognition and authentication system 

      ALam, Md. Zubaer (Brac University, 2023-05)
      Automated surveillance motion detection and video data analysis are now crucial jobs for many industries. Understanding human behavior from security video data is crucial, especially in places like banks, hospitals, ...

    • Mobile sensors based human activity recognition using machine learning with explainable ML 

      Rahman, Raihan; Osdi, Shafin Jami; Till, Sadia Sidran (Brac University, 2021)
      Based on the data collected from the sensors of smartphone a region that has garnered a lot of interest has a consequence of the growing popularity in the numerous variety for pertaining to applications(i.e. Real world ...

    • Performance analysis of stacking neural network and machine learning model for detecting fraudulent transaction 

      Chowdhury, Ahnaf Shahriyar; Abdullah, Nayeem; Mamun, Hasan Al (Brac University, 2020-04)
      Transaction fraud has become a fast growing issue in the world of modern technology which has become a serious threat to the financial sectors. Although these fraudulent actions have several categories or type but online ...

    • Predicting suicidal intent from social media text post using machine learning 

      Chowdhury, Md. Mubin Ul Islam; Hasan, Mehadi; Nayem, A.K.M Muhibullah; Meem, Humaira Tasnim (Brac University, 2022-05)
      We are living in an age of modern science where cutting-edge technology has made the world so small. We can now easily connect with people worldwide via the internet and using social media. Social media has become a popular ...

    • Prediction of acute lymphoid leukemia using Privacy Preserving Neural Network 

      Khilji, Ishfaque Qamar; Saha, Kamonashish; Shonon, Jushan Amin; Israq, Ragib (BRAC University, 2019-12)
      In today’s world, machine learning has become a big factor. It not only needs to be helpful, but also accurate and precise prediction is required. Machine learning is now becoming a widely used mechanism and applying it ...

    • RansomListener: Ransom call sound investigation using LSTM and CNN Architectures 

      Rahman, Rafeed; Rahman, Mehfuz A; Hossain, Shahriar; Hossain, Sajid (Brac University, 2020-12)
      Getting calls for ransoms are common phenomena in kidnapping and abduction related incidents where the life of the victim remains extremely vulnerable. These phone calls are often analyzed in real-time by law enforcement ...

    • Research on generative sign language using neural networks 

      Selim, Bushra Binte; Iqbal, Maliha; Shahriar, Asif; Faria, Fauzia; Mostafa, Rafid (Brac University, 2021)
      Sign gesture, which is one type of non-audible specialized strategy is the medium to correspond with individuals having auditory and talking incompetency. There are numerous computerized methods of creating gesture-based ...