Now showing items 41-60 of 135

    • Digital transformation in supply chain management of Tiger IT Bangladesh Limited 

      Islam, MD Kamrul (Brac University, 2024)
      This report focuses on Total digitization of supply chain management of Tiger IT Bangladesh limited. Tiger IT Bangladesh Limited is a software product-based company. Tiger IT Mainly sales solution based technical hardware ...
    • Displaying Ad with Optimal Real-Time Bidding 

      Uddin, A F M Ahsan (Brac University, 2020-12)
      Real-time bidding is a new paradigm for displaying an ad. Through our research work, we have tried to find a bid optimization solution for displaying an ad in RTB. Advertisers are able to bid per impression through RTB ...
    • An effective infrastructure for pocket switch network 

      Majed, Mohammad Kaif Ul; Mariam, Anika; Noshin, Afia; Khan, Md. Jamiul Alam (BRAC University, 12/14/2017)
      In everyday life we are using Internet with fixed routing configurations such as Broadband, mobile data etc. Pocket Switch Networks (PSN) uses phones as the medium to connect with other people without a fixed cellular ...
    • Efficient Spatio-temporal feature extraction for human action recognition 

      Ghosh, Dipon Kumar (Brac University, 2021-11)
      Human actuation recognition (HAR) has been performed using current deep learning (DL) algorithms using a variety of input formats, including video footage, optical flow, and even skeleton points, which may be acquired ...
    • Embedded system based bangla intelligent social virtual robot with sentiment analysis 

      Hossain, Md. Ishan Arefin; Hossain, Ismail; Hossain, Md. Yousuf; Banik, Mridul (BRAC University, 2018-04)
      Bangla is the mother tongue of millions of people all over the world. Despite of being a very popular language, any social virtual robot that can intelligently communicate in Bangla is a fairytale till now. One of the main ...
    • An emergency based image filtering system 

      Dhar, Bishakha; Smita, Noushin Anzum (Brac University, 2018-12)
      With the invention of new technology day by day the rate of inhuman works is also getting increased as well which ,making our life easier but at the same time unsafe. The new advanced technologies are permitting us to ...
    • 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 ...
    • End to end Bangla handwritten and scene text detection using convolutional neural network 

      Mahal, Somania Nur; Abir, B M; Bakhtiar, Fahim (BRAC University, 8/21/2017)
      Handwritten text detection from a natural image has a large set of difficulties. A systematic approach that can automatically recognise text from handwriting, printed books, road signs and also classifies text and nontext ...
    • Enhanced energy detection using matched filter for spectrum sensing in cognitive radio networks 

      Sarker, Pramit Likhan; Salama, Umme (BRAC University, 2018-04)
      Cognitive Radio (CR) deals with the designing of intelligent wireless communication systems through the use of transceivers that are capable of automatically detecting and accessing vacant communication channels in the ...
    • Enhancing Monkeypox diagnosis: a machine learning approach for skin lession classification 

      Nazmee, Namirah; Mahmud, Sadia; Ali, Mashyat Samiha; Alam, Khusbo (Brac University, 2023-09)
      Virus which causes monkeypox is capable of infecting both humans and nonhuman primates. In order to effectively treat monkeypox and prevent the disease’s further spread, it is necessary to diagnose the skin lesions caused ...
    • Enhancing security in software defined Networking using machine learning and networking algorithm 

      Nawrin, Mashaba; Aurid, Md. Ehtesham-ur-Rahman; Saad, Ehsan Abdullah Khan; Shrestha, Mariea Anjuman (Brac University, 2024-05)
      In Software Defined Networking (SDN), control planes and data planes work simultaneously; which offers flexibility and programmability, and also comes with security vulnerabilities. As big networking systems are planning ...
    • Evaluating CNN and Vvsion transformer models for Mango Leaf variety identification 

      Labiba, Zaima; Heram, Afrin A; Hossain, Md.Muhtasim; Alam, Sharia; Shakal, Binita Khan (Brac University, 2023-09)
      Mango, often referred to as the “King of fruits”, occupies a superior place in the global agricultural landscape due to its growing demand. Thus accurate identification and classification of mango tree varieties is ...
    • An exploratory analysis of the industrial machine's data for predictive maintenance operations 

      Shovon, Faisal Ahmed; Fahim, Shahriar Raz; Alam, K.C. Zamiul; Mohajan, Sajib (Brac University, 2021-01)
      Modern industries nowadays heavily rely on hefty machineries which have lots of moving parts and contain sensor data. These sensor data are indexed in time order which are referred to as time series data. Industrial ...
    • Exploratory data analysis and success prediction of Google Play Store apps 

      Mueez, Abdul; Ahmed, Khushba; Islam, Tuba; Iqbal, Waqqas (BRAC University, 2018-12)
      Mobile app distribution platform such as Google play store gets flooded with several thousands of new apps everyday with many more thousands of developers working independently or in a team to make them successful. With ...
    • Fake news pattern recognition using linguistic analysis 

      Dey, Amitabha; Rafi, Rafsan Zani; Hasan, Shahriar; Kundu, Sauvik (BRAC University, 2018-04)
      The upsurge of fake news in social media calls attention to the erosion of long-standing institutional defense against misinformation in this Digital Age. In the wake of the 2016 Presidential Election in US, where social ...
    • Fault detection and predictive maintenance in IoT-based building management system using machine learning 

      Sabuj, Khaja Sheikh Imran; Chowdhury, Saifullah; Mehedi, Fahim Hasan; Chakraborty, Pritam; Arnob, Shafarse Simeon (Brac University, 2022-01)
      Infrastructures in the modern era are incorporating the Internet of Things (IoT) in everything from complex building automation systems (BAS) to individual small devices, emphasizing the importance of Predictive Maintenance. ...
    • A federated learning approach for detecting Parkinson’s disease through privacy preserving by blockchain 

      Dipro, Sumit Howlader; Islam, Mynul; Nahian, Md.Abdullah Al; Azad, Moonami Sharmita (Brac University, 2022-05)
      Parkinson’s disease is a degenerative ailment caused by the loss of nerve cells in the brain region known as the Substantia Nigra, which governs movement. These nerve cells die or deteriorate, rendering them unable to ...
    • Finding suitable locations for live campaigns using different machine learning techniques 

      Qudar, Mohiuddin Md. Abdul; Tazrin, Tahrat; Khanam, Kazi Zainab (BRAC University, 2018)
      For business booming, in recent years the idea of find an ideal location for reaching potential customers has been the focus of past research. Traditional approaches have faced many negative responses, now to make business ...
    • Flight fare prediction using machine learning 

      Noyon, Md. Shaim Hosan; Islam, Tanzidul; Islam, Solaiman; Reejon, Md. Refayet Islam (Brac University, 2022-01)
      This paper deals with the forecast of Flight Price of domestic airlines.Revenue management relies heavily on forecasting. Air passengers (buyers) frequently search for the ideal time to buy tickets in order to save as ...
    • Fog based service oriented IOT infrastructure 

      Heya, Tasnia Ashrafi; Arefin, Sayed Erfan; Joy, Kowshik Dipta Das; Hossain, Md. Arshad (BRAC University, 12/14/2016)
      The Internet of Things(IoT) can be defined as a network connectivity bridge between people, systems and physical world. With the increasing number of IoT devices and networks, dealing with enormous number of data efficiently ...