Now showing items 69-88 of 1474

    • Analyzing Schizophrenic-prone text from social media content: a novel approach through ML and NLP 

      Rodela, Raisa Rahman; Efty, Farhan Tanvir; Rahman, Mubashira; Wajiha, Shaira (Brac University, 2024-01)
      Schizophrenia is one of the destructive personality disorders where people have unusual interpretations of reality and are lured to develop harmful actions if not diagnosed promptly. This study focuses on identifying ...
    • Analyzing students’ concentration in online courses through Webcam 

      Asif, Md.; Hossain, Md. Imtiaj; Sharkar, Fouzia; Islam, Md. Mohaimenul (Brac University, 2024-01)
      Online learning is growing in popularity these days. As a result, students typically contribute millions of course-related responses to discussion forums and exchange some learning experiences. This study focuses on ...
    • Analyzing the different mobile packages and other parameters and formalization of country policy for BTRC on mobile telephony 

      Hasan, Zeaul (BRAC University, 2006-05)
      Bangladesh is a developing country. Like all other TELECOMMUNICATION sector is also weak compare to other countries telecommunication. Our goals are to search the better policy for the telecommunication companies ...
    • Analyzing the differnt mobile packages and other parameters and formalization of country policy for BTRC 

      Rahman, Mushfiqur (BRAC University, 2006-05)
      In spite of being a developing country Bangladesh has made significant progress in the telecommunication sector. Though the telecom sector has flourished rapidly and there are five fully established companies are operating ...
    • Analyzing the security of e-Health data based on a hybrid federated learning model 

      Shafin, Md. Mehtabul Islam; Akhter, Sabrin; Hasan, Mohammad Shafkat; Nasimuzzaman, Md.; Prithul, Tamzeedur Rahman (Brac University, 2023-01)
      This research aims to provide an approach for analyzing the security of the e-health care system through the use of federated learning and the pre-processing of distinct deep learning models. The infrastructure for ...
    • Analyzing two platforms: NET and Java for deveroping a search engine 

      Bhuiyan, Shoman (BRAC University, 2008-05)
      There are several platforms available for developing a search engine. we can create search engine with php, visual Basic, c#, J#, Java, DotNet and with other platforms as well. Among those, DotNet and Java are chosen for ...
    • Analyzing user data privacy in android mobile OS 

      Miah, Abdul Momen; Ashik, MD. Akhtaruzzaman; Chakma, Pranab; Baidya, Shoumya Dipta; Zaman, Musharrat (Brac University, 2023-01)
      Uses of smartphones are increasing rapidly more than anything, and so are the chances of risking our personal information. We constantly install various apps on our mobile phones for different purposes. Data privacy is ...
    • Analyzing users’ sentiment towards video games based on reviews from microblog 

      Roy, Abhijeet; Khan, Mobtasim Hasan; Chakraborty, Shandro (BRAC University, 4/25/2018)
      This project proposes a new model of sentiment analysis for video game’s reviews. In these days people tend to check reviews and ratings of video games before spending money and time for a game. In the proposed model, ...
    • An android and web based application ‘Urban Healthcare Service’ to improve the health care system of bangladesh 

      Islam, Shah Md. Monirul; Khan, Faria Hoque; Swaqeeb, Md. Najmus (BRAC University, 2018-04)
      Traditional healthcare systems are facing challenges like lack of ubiquity, use of backdated techniques, lacks of tracking, observing and reporting status of hospitals. Nowadays, smartphones have achieved each hand and ...
    • Android platform to find blood donors and predicting most suitable donors 

      Ahmed, Nakib; Rashid, Safoan Bin; Moury, Sharmin Sultana; Nahar, Ankur (BRAC University, 2018-03)
      The need for blood is constant in the medical field in order to save lives, as a number of medical procedures, including most surgical interventions require blood transfusion, but despite all medical and technological ...
    • Android-based smart voting system 

      Mahmood, Tawseef; Zoha, Shamah Mahbub; Das, Ashis Kumar (BRAC University, 8/17/2016)
      The process of efficient voting is a vital component in the proper functioning of our increasinglymodernized society. The traditional way of conducting a voting process is not only timeconsuming, but also prone to security ...
    • Anesthesia monitoring device development 

      Rahman, Tasneem; Suchi, Khadija Akhter (Computer Science and Engineering, BRAC University, 2009-08)
      This thesis explores the problems of anesthesia during any surgical operation for the patients. There are few aspects of this work: determine the specified problems for proper anesthesia and necessity to monitor the depth ...
    • Anomalous behavior detection using Spatio temporal Feature and 3D CNN model for Surveillance 

      Nahar, Jannatun; Promi, Zarin Tasnim; Ferdous, Jannatul; Ishrak, Fatin; Khurshid, Ridah (Brac University, 2022-01)
      Anomalous and violent action detection has become an increasingly relevant topic and active research domain of computer vision and video processing, within the past few years. It has many proposed solutions by the ...
    • Anomaly detection In IoT using machine learning algorithms 

      Arko, Aritro Roy; Khan, Saadat Hasan; Preety, A a Anjum; Biswas, Mehrab Hossain (Brac University, 2019-08)
      Internet of Things (IoT) is growing as one of the fastest developing technologies around the world. With IPv6 settling down, people have a lot of addressing spaces left that even allows sensors to communicate with each ...
    • Anti-aliasing for real-time applications in 3D using deep convolutional neural network 

      Siam, F. M. Jamius; Prince, Zahidul Islam; Bari, Ahmed Na sul (Brac University, 2020-04)
      In this paper we present a convolutional neural network model for solving the long- standing aliasing problem in the real time 3D graphics industry. Aliasing refers to the problem of having hard jagged edges in the ...
    • An application based improved round robin CPU scheduling for real time operating system 

      Mahmud, Nasif; Afrin, Sadiya; Rahman, Fwzana; Monirujjaman, Md. (Brac University, 2017-04)
      CPU scheduling is the primary and very important part of any operating system. CPU scheduling criteria is based on multi programming operating system. CPU executes one process at a time and other process is in waiting ...
    • Application of augmented reality: Mobile camera based bangla text detection and translation 

      S.Mahbub-Uz-Zaman; Islam, Tanjina (BRAC University, 12/12/2012)
      In this paper, we demonstrate an Augmented Reality based Bangla text detection and translation application on Android-platform (2.2). This application recognizes the text that is captured by a mobile phone camera and ...
    • Application of CNN based architectures in detection of distracted drivers 

      Arafin, Irfana; Islam, Md Mahirul; Tazwar, Syed Ittisaf; Das, Nilay Shuvra; Anika, Sabrina Tabassum (Brac University, 2022-08)
      Distracted driving is known to be one of the most significant reasons behind the occurrence of traffic accidents. Moreover, the phenomenon of the occurrence of road accidents due to distracted driving has been increasing ...
    • Application of data mining identifying topics at the document level 

      Reza, Marifa Farzin; Matin, Rizwana (BRAC University, 4/12/2012)
      Data mining techniques are very popular in modern days and are used in NLP (Natural Language Processing). One of the techniques like clustering items to groups has been used way back. This technique is applied to find different ...
    • Application of deep convolutional neural network in breast cancer prediction using Digital Mammograms 

      Al Mamun, Rafsan; Rafin, Gazi Abu; Alam, Adnan; Sefat, MD. Al Imran (Brac University, 2022-01)
      Cancer, a diagnosis so dreaded and scary, that its fear alone can strike even the strongest of souls. The disease is often thought of as untreatable and unbearably painful, with usually, no cure available. Among all the ...