Browsing by Subject "Classification"

Now showing items 1-14 of 14

    • Classifying insect pests from image data using deep learning 

      Mohsin, Md. Raiyan Bin; Ramisa, Sadia Afrin; Saad, Mohammad; Rabbani, Shahreen Husne; Tamkin, Salwa (Brac University, 2022-01)
      The fact that insecticidal pests impair significant agricultural productivity has become one of the main challenges in agriculture. There are, nevertheless, several requirements for a high-performing automated system ...

    • Comparison of different CNN architectures for brain tumor detection using fMRI 

      Mashiat, Afsara; Akhlaque, Reza Rifat; Fariha, Fahmeda Hasan; Patwary, Md Shawkat Hossain (Brac University, 2020-04)
      Brain is the most vital organ of human body which controls the entire nervous system of human body. In that case, if anything goes wrong inside our brain the entire nervous system gets collapsed. The brain tumors are the ...

    • A computer vision based approach for stalking detection using CNN-LSTM hybrid model 

      Iqbal, Shahriar; Hasan, Murad; Faisal, Md Billal Hossain; Neloy, Md.Musnad Hossin; Kabir, Md. Tonmoy (Brac University, 2022-05)
      The next level of revolution toward a better world could involve combining human security with machine intelligence. In recent years, stalking in public areas has become a pervasive issue, and women are disproportionately ...

    • Deep convolutional GAN-based data augmentation for medical image classification 

      Datta, Joy; Durdana, Bedria; Rafi, Salwa (Brac University, 2022-01)
      The field of medical imaging is rapidly growing with the help of machine learning, yet the problem of scarcity in labeled medical imaging still remains. Therefore training a machine learning model for medical image ...

    • Deep Learning based Bangla Voice to Braille Character Conversion System 

      Iqbal, Syed Bayes; Rifat, Riazul Islam; Hussain, Md Akif; Biswas, Simon (Brac University, 2022-05)
      From the very beginning of the 20th century, there has been a significant devel opment in the education system using modern technology. However, this rapid development has very little scope to facilitate the education ...

    • Detection and classification of speed limit traffic signs 

      Biswas, Rubel; Fleyeh, Hasan; Mostakim, Moin (© 2014 Institute of Electrical and Electronics Engineers Inc., 2014-10)
      This paper presents a novel traffic sign recognition system which can aid in the development of Intelligent Speed Adaptation. This system is based on extracting the speed limit sign from the traffic scene by Circular Hough ...

    • DWT based transformed domain feature extraction approach for epileptic seizure detection 

      Mostafa, Mahajabin; Samin, Mohtasim Abrar; Hassan, Nabila Bintey; Nibras, Saiara Zerin; Rahman, Samir (Brac University, 2021-09)
      Epileptic seizure is a neurological disorder that is prevalent in both males and females of all age ranges. Detection of epileptic seizure serves as an important role for epileptic patients as it allows the initiation ...

    • Federated GAN based biomedical image augmentation and classification for Alzheimer’s disease 

      Roy, Aditya; Rahman, Md. Mahbubur; Ahmed, Shafi (Brac University, 2022-09)
      Federated Learning (FL) is a distributed machine learning approach that can de velop a global or customized model from scattered datasets on edge devices using federated datasets. ‘Federated GAN Based Biomedical Image ...

    • Gene classification and pattern analysis using data mining and machine learning techniques 

      Ramisa, Aiman Jabeen; Hossain, Ananna; Islam, Sk Md Injamul; Swadesh, Ponuel Mollah; Islam, Md. Toushif (Brac University, 2021-06)
      Gene classification and pattern extraction from gene sequence data is essential in understanding different gene sequence features. The field of gene expression data analysis has grown in the past few years from being ...

    • Heartbeat sound feature extraction and classification 

      Bibrity, Fariha Chowdhury; Jahan, Farhana; Khan, Md. Shahriar (Brac University, 2019-12)
      Heart diseases has ranked top as the cause of death globally. The harsh truth is, in this time it is hard to get proper medical treatment in proper time and still it is costly. Now the only light of hope is coming from ...

    • 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 ...

    • Machine learning based data processing and latency reduction in the internet of things for agriculture 

      Rahman, Sajeed Ur; Dip, Leonard Michael Gomes; Shuddho, Manan Moin; Maheen, Kishwar (BRAC University, 2018-12)
      The Internet of Things is best stated as a network of “things” that have the ability to generate and share information between themselves and interact with the environment according to the percepts from this environment. ...

    • Music genre classification with convolutional neural network 

      Chowdhury, Masud; Tilok, Ibnul Islam; Das, Prodipta; Chowdhury, Avoy; Anas, MD. Abdullah Al Masum (Brac University, 2022-01)
      Today, Music is one of the effective forms of entertainment. Everyday new Music is being composed, and the quantity of Music is increasing day by day. So, it is essential to classify or categorize Music into different ...

    • Segmentation based Kidney Tumor Classification using Deep Neural Network 

      Mehedi, Md Humaion Kabir; Haque, Ehteshamul; Radin, Sameen Yasir; Ur Rahman, Md. Abrar (Brac University, 2022-01)
      Kidney disease is one of many severe chronic disease that a person can have. Early detection of this disease can be pivotal for proper treatment. Different neural net works have proven to be useful in disease prediction ...