Now showing items 1-20 of 32

    • Advanced artificial intelligence self balanced robot for home security 

      Shourove, MD. Niaz Sharif; Mahmud, Khaled; Rahman, Mafruda; Rahman, Tanzim (BRAC University, 2017-12)
      Artificial Intelligence brings intelligent behavior in the field of Robotics. It enables robot to provide services for human in this modernized and changing world and assuredly it can work faster and better at every sector ...
    • Advanced electronic security and safety system using artificial intelligence 

      Jalal, S. M. Shuharto; Mahamud, Md. Sajid (BRAC University, 2016)
      Beholding the current situation of our country, lack of security and safety is a major issue with increasing crime rapidly where miscreants take advantage of the traditional vulnerable security system. This system can ...
    • Bengali hand sign language recognition using convolutional neural networks 

      Rumi, Roisul Islam; Hossain, Syed Moazzim; Shahriar, Ahmed; Islam, Ekhwan (BRAC University, 2019-04)
      Throughout the world the number of deaf and mute population is rising ever so increasingly. In particular Bangladesh has around 2.6 million individuals who aren't able to communicate with society using spoken language. ...
    • 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 ...
    • Computer-generated artificial life model: algorithm for hunters hunting preys 

      Haque, Md. Mahbub-Ul; Sur, Surid Imam Khan; Shahriar, Rehnuma Binta; Saha, Supti Rani (Brac University, 2021)
      This thesis simulates the behavior of predators and preys observed between a pack of wolves and a deer herd during a hunting scenario. We use the Boids flocking algorithm, an artificial life model developed by Craig ...
    • A decentralized employee performance appraisal framework for recruitment, performance prediction and ranking using permissioned Blockchain and ensemble learning 

      Anjum, Afra Antara; Islam, Sadaath; Majumder, Shaikat (Brac University, 2022-01)
      Recruitment is a crucial task for Human Resource Management (HRM) and determines the creation of a competent workforce that eventually brings tangible and intangible benefits for companies. Employees are key elements in ...
    • A deep learning based autonomous electric vehicle on unstructured road conditions 

      Adnan, Ashik; Rahman, G M Mahbubur; Hossain, Md. Mahafuj; Mim, Mahfuza Sultana (Brac University, 2021-09)
      Autonomous driving vehicles are too known as driver-less cars which is one of the foremost astounding advances of the twenty-first century, anticipated to be driverless, effective, and crash dodging ideal urban cars of ...
    • Deep learning-based waste classification system for efficient waste management 

      Nakib, Abdullah Al; Talukder, Md. Nayem; Majumder, Chinmoy; Biswas, Soptorshi; Hassan, Jabid (Brac University, 2021-10)
      A smart waste management system plays a vital role in building cleanliness, hygienic, and healthier living for the inhabitants of a city. However, the inherent problems of the waste management system are still a matter ...
    • Deepfake detection using neural networks 

      Sakib, Sadman; Abid, Mir Tarid Al; Tiana, Nures Saba; Asha, Wajida Anwar; Huq, Syed Mahbubul (Brac University, 2021-09)
      Deepfake is a sort of arti cial intelligence that forge original image or video and create persuading images, audio and video hoaxes by utilizing two contending AI algorithms-the generator and discriminator that form a ...
    • Designing an IoT based stabilizer for home appliances 

      Ahmed, Hasnain; Jahan, Tanvir; Adittya, Tareq Islam; Sadique, Sadman (Brac University, 2021-09)
      A voltage stabilizer is a device that detects and corrects abnormal voltage levels in order to create a sufficiently steady output where the load is attached. The goal of this project is to build and construct an automated ...
    • Detecting Deepfake images using deep convolutional neural network 

      Dhar, Arpita; Acharjee, Prima; Biswas, Likhan; Ahmed, Shemonti; Sultana, Abida (Brac University, 2021-09)
      In recent years, advancement in the realm of machine learning has introduced a feature known as Deepfake pictures, which allows users to substitute a genuine face with a fake one that seems real. As a result, distinguishing ...
    • Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images 

      Hossain, Mainul; Haque, Shataddru Shyan; Ahmed, Humayun; Mahdi, Hossain Al; Aich, Ankan (Brac University, 2022-01)
      Colon cancer is one the most prominent and daunting life threatening illnesses in the world. Histopathological diagnosis is one of the most important factors in determining cancer type. The current study aims to create ...
    • An efficient facial expression recognition method using mean And standard deviation 

      Laboni, Pragna; Zaman, Nusrat (BRAC University, 8/21/2017)
      Facial Expression gives vital information about emotion of human being. It is really a speedily growing and an ever green research field in the sector of computer vision, artificial intelligence and automation. If we talk ...
    • Emotion recognition using EEG signal and deep learning approach 

      Islam, Sayedi Hassan Bin; Mehdi, Md. Quamar; Rohan, Bhuiyan Yash; Mahmood, Syed Atif Imtiaz (Brac University, 2019-08)
      Emotion is a mental state, which originates in the brain and is closely related to the nervous system. Emotion can be defined as a feeling expressed through, or detectable by voice intonation, facial expression body ...
    • Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet 

      Ishrak, Gazi Hasin; Mahmud, Zalish; Farabe, Md. Zami Al Zunaed; Tinni, Tahera Khanom (Brac University, 2022-01)
      The term ‘Deepfake’ comes from the deep learning technology. Deepfake technology can easily and smoothly stitch anyone into any digital media where they never took part in reality. The key components of deepfake are ...
    • Exploring Alzheimer's disease prediction with XAI in various neural network models 

      Rahman, Quazi Ashikur; Shad, Hamza Ahmed; Asad, Nashita Binte; Bakshi, Atif Zawad; Mursalin, S.M Faiaz (Brac University, 2021-10)
      Using a number of Neural Network Models, we attempt to explore and explain the prediction of Alzheimer's in patients in various stages of the disease, using MRI imaging data. Alzheimer's disease(AD) often described as ...
    • Flood prediction using machine learning models 

      Syeed, Miah Mohammad Asif; Farzana, Maisha; Namir, Ishadie; Ishrar, Ipshita; Nushra, Meherin Hossain (Brac University, 2022-01)
      Floods are one of nature’s most catastrophic calamities which cause irreversible and immense damage to human life, agriculture, infrastructure and socio-economic system. Floods are one of Bangladesh’s most common natural ...
    • Forecasting market movement in Dhaka Stock Exchange: LSTM vs. ARIMA 

      Chakraborty, Pranjal (Brac University, 2019-04)
      This paper creates and examines the performance of LSTM models against ARIMA models, using Dhaka Stock Exchange data from beginning of 2000 to the beginning of 2019. An algorithm has been designed to simultaneously train ...
    • Generation of realistic images from human drawn sketches using deep learning 

      Mahbub, Mohammed Julfikar Ali; Rahmatullah, S. Afsan; Rahman, G M Sohanur; Zillanee, Abu Hasnayen; Akib, Aknur Kamal (Brac University, 2022-01)
      Processing sketches to produce realistic images is an intriguing idea in the world of emerging Artificial Intelligence. We present a Generative Adversarial Network (GAN) based methodology that creates satisfactory images ...
    • Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture 

      Sharma, Tanmoyee; Tabassum, Zaharat; Banik, Ritu; Rahman, S.M.Arifur (Brac University, 2021)
      Image segmentation is a fundamental section of the current healthcare system to segment and detect diseases such as disease of the lung (pneumothorax), cancer, diabetic retinopathy, dengue, malaria, heart disease, ...