Now showing items 1-20 of 76

    • 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 ...
    • Artificial intelligence in HR Management 

      Lamia, Ridwana Islam (Brac University, 2020-06)
      Banglalink is known to be the third largest telecommunications company in Bangladesh after Grameenphone and Robi. In September 2004, Sheba Telecom (Pvt.) Limited sold 100% of its shares to Orascom Telecom Holdings, which ...
    • Automatic attendance system using facial recognition 

      Sikdar, Tushar; Binte Amin, Nafia; Shupti, Ayesha Akter; Ferdous, A.K.M Zubaer; Dashgupta, Amit (Brac University, 2022-01)
      Artificial Intelligence has brought revolutionary change all around the world prov ing its effectiveness almost in every aspect. AI is not only a science-fiction dream anymore, but also a constant part of our everyday ...
    • Bank loan prediction using machine learning 

      Mahottam, Parthosarothi; Anika, Antara Raida; Jahan, Dilshad; Lazika, Tanzina Afrin (Brac University, 2023-05)
      The Banking sector is a core foundation of the global economy as it facilitates the financial transactions while providing fundings in various purposes. One key aspect in the banking industry is the ability to accurately ...
    • 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. ...
    • Biometric retina identification using artificial approach 

      Imam, Syed Abrar; Huda, Sheikh Samiul; Alam, Talha Bin; Ahsan, Anika (Brac University, 2022-05)
      In this paper, we considered recognizing 2D retina pictures with a Convolutional Neural Network (CNN) for greater accuracy since retina-based identification is the most secure way of establishing identity and identifying ...
    • Cardiovascular disease prediction model using Machine Learning Algorithm 

      Arefin Mirdha, MD Shamsul (Brac University, 2022-09)
      This research uses machine learning to anticipate and detect the symptoms of specific diseases after examining some of the important elements of these diseases in order to better understand them and develop new and better ...
    • 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 ...
    • Comparative analysis and implementation of AI algorithms and NN model in process scheduling algorithm 

      Niloy, Maharshi; Moni, Md. Moynul Asik; Khan, Farah Jasmin; Chowdhury, Aquibul Haq; Juboraj, Md. Fahmid-Ul-Alam (Brac University, 2022-09-28)
      Process scheduling is an integral part of operating systems. The most widely used scheduling algorithm in operating systems is round-robin (RR), but the average waiting time in RR is often quite long. The purpose of this ...
    • Comparative analysis of machine learning models for stock price analysis across different dataset sizes 

      Srabon, Abir Alam; Abrar, Mahmudul Hasan; Rahman, Nimur; Ahmed, Washif Uddin; Hridy, Salamat Sajid (Brac University, 2023-05)
      The nature of the stock market has always been ambiguous as it constantly fluctuates for various factors. The regular fluctuations have always made it difficult for investors to invest. This paper compares six different ...
    • 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 ...
    • Conversational AI for companionship 

      Khan, Zakaria; Akash, Salauddin Md; Jamima, Afia Mobassira; Ishan, Isfar Hasan (Brac University, 2022-05)
      The conversational style of a human is estimated by humor, personality, voice tone, etc. These characteristics are necessary for virtual assistants that are artificially intelligent for conversation. This research ...
    • 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 decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI 

      Mubin, Kazi Ehsanul; Arthi, Noshin Tabassum; Rahman, Junayed; Rafi, G. M.; Sheja, Tahsina Tanzim (Brac University, 2022-05)
      Convolutional Neural Networks (CNN)-based automated approaches are vastly utilised to anticipate and diagnose cancer, saving time and reducing mistakes. Deep Learning (DL) CNN methods use a variety of probabilistic and ...
    • A deep learning approach for pneumonia classification from chest X-Ray images with ensemble modelling and explainable AI 

      Akhter, Nasrin (Brac University, 2021-06-08)
      Pneumonia is one of those frightening diseases that has a high mortality rate among children and the elderly, with an estimated 2 million fatalities per year. Pneumonia affects the poorest people in Africa and Asia the most, ...
    • 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 ...
    • Demystify the blackbox model of automated detection of lung and kidney diseases from X-ray and CT radiographs 

      Islam, Md. Nazmul (Brac University, 2021-12)
      Radiology imaging, such as magnetic resonance imaging (MRI), computed tomography (CT-scan), X-ray imaging (X-ray), and ultrasound imaging (US), is used to diagnose a variety of disorders, including brain disease, whole-body ...