Browsing Department of Computer Science and Engineering (CSE) by Title

Now showing items 1256-1275 of 1456

    • Sentiment classification on Bengali food and restaurant reviews 

      Hossain, Abid; Sajin, Tanjim Hussain; Bhuiyan, Md Hasibuzzaman; Khan, Farhan Akbor; Anka, Sankalpa (Brac University, 2024-01)
      Sentiment analysis, a critical facet of Natural Language Processing (NLP), plays a pivotal role in decoding human emotions conveyed through text. Despite extensive research in sentiment analysis for widely spoken languages, ...

    • Sentimental analysis of customer product Reviews to understand customer needs using machine learning 

      Symum, Md Abdullah Al; Sheemu, Subarna Yeasmin; Asif, Abu Saleh Md.; Islam, Konika (Brac University, 2023-05)
      People are influencing aspects of the digital world through machines. As a result, it is crucial to upgrade and use this aspect to do so. In the past, people used written letters to provide feedback. However, people are ...

    • Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning 

      Sarkar, Ripa; Hassan, Md. Mehedi; Azad, Farin Beante; Hossin, Md. Nibras (Brac University, 2022-09)
      Internet-based applications like social media platforms and blogs have exploded in popularity, and with them have come reviews and commentary on people’s daily lives. Unfortunately, the vast majority of these evaluations ...

    • Sentimental analysis on political speeches 

      Atiq, Asif; Abeed, Abrar Shahriar; Efat, Azher Ahmed; Momin, Armanul (Brac University, 2022-01)
      Politics is an essential part of human society. From the start of human civilization, politics has controlled every human society. Political speeches have had one of the most influential roles in shaping the world. ...

    • Shadow rendering techniques: hard and soft 

      Rahman, Jamiur (BRAC University, 2007-05)
      Shadows are very important issues in three-dimensional computer graphics where interactive techniques are certainly needed to make the scene near about real life scene e.g. in virtual reality systems or games. Shadows ...

    • Share market forecasting with LSTM neural network and sentimental trend prediction 

      Rony, Ismail Hossain; Anik, Ahsan Ahmed; Asif, Abdullah Al; Muhammad, Sayeed (Brac University, 2019-09)
      Forecasting and predicting future trend is getting signi cant importance in stock market exponently as it is volatile in nature. Stock market is an extremely complicated , unstable and volatile place due to the fact that ...

    • Share market optimization : a web based system to predict share market using different kinds of economic factor 

      Rahat, MD. Maruf; Choudhury, Maher Mohammed Helal Uddin; Sarker, Abdur Rouf (BRAC University, 2008-05)
      We are going to develop a web based system which will work as share market assistance software. This software will determine which Share is to buy or hold and which one is to sell considering different kinds of social ...

    • Shield key: a deep learning process for the generation of public & private keys using hybrid architecture in blockchain 

      Joy, Tanvir Ahmed; Ahmed, Sultan Gias Uddin; Ahmed, Mir Abrar; Islam, Sazzad UL; Nima, Menuka Tasnim (Brac University, 2021-06)
      The fast-growing cryptocurrency system is changing the financial world with its ensured blockchain technology. It’s specific use in expounding cryptocurrencies is highly acknowledged in the modern world, although the ...

    • ShielDroid: a hybrid ML and DL approach for real-time malware detection system in Android 

      Ahmed, Md Faisal; Biash, Zarin Tasnim; Shakil, Abu Raihan; Ryen, Ahmed Ann Noor; Hossain, Arman (Brac University, 2021-09)
      Due to the rapid development of the advanced world of technology, there is a high increase in devices such as smartphones and tablets, which increase the number of applications used. Though an application has to pass the ...

    • Shohojogi: an automated Bengali voice chat system for the banking customer services 

      Arnab, Kabir Abdur Rahman; Hossain, Md Ashiqual; Nabi, Istihad; Shoyti, Sadia Afrin (Brac University, 2023-03)
      As the name refers, this research aims to develop an automated voice chat system in Bengali language for the banking system. The system enables clients to learn about detailed information such as account opening queries, ...

    • Short term load forecasting based on Internet of Things (IoT) 

      Uz Zaman, Mahdi; Islam, Anisul; Sultana, Nahid (BRAC University, 2018-04)
      In the era of internet every device is getting connected to the internet. In this paper, we have assumed that IoT devices can share their power consumption history. Based on data points collected from real world environment ...

    • Sign language conversion and training by machine learning with an IOT approach 

      Nazib, Rezoan Ahmed; Ahmed, Tanvir; Siddique, Niloy; Tusher, Jahid Hasan (BRAC Univeristy, 8/21/2017)
      For the people, who are living without sound due to disabilities, sign language can be a handy tool to make their life easy and comfortable. Sign language is actually a medium of communication for the people who are either ...

    • Silent voice: harnessing deep learning for lip-reading in Bangla 

      Shaheen, Munia; Ifti, Akib Zabed; Hassan, Ariful; Hossain, Junaed (Brac University, 2024-01)
      Understanding speech just through lip movement is known as lipreading. It is a crucial component of interpersonal interactions. The majority of the previous initiatives attempted to address the English lipreading issue. ...

    • Similarity search for Bangla 

      Morshed, Mahbub; Shahed, Md. Shahid (BRAC University, 2011-04)
      Due to typos and misspelling search engines cannot provide users with proper information. Large search engines like Google provides suggestion tab "did you mean". But such options are not included in most of the open ...

    • A simple tele-robotic lunar excavator 

      Rhaman, Md. Khalilur; Hasan, Shiblee Imtiaz; Hossain, Md. Jonayet; Anik, Kazi Mohammad Razin; Oyon, Mahmudul Hasan; Bhuian, Belal Hossain; Rahman, Md. Mosaddequr (© 2012 IEEE, 2013)
      An excavation tele-robotic system is developed to excavate and collect lunar regolith. The excavator has been developed by the team BRACU ChondroBot consisting students from BRAC University for NASA's 2nd Annual Lunabotics ...

    • Simulating the transformation of plane triangulation using edge flip algorithms 

      Anushka, A fia Hossain; Hossain, Md. Arman; Kibria, Mukit (Brac University, 2021)
      In Computational Geometry edge flipping of triangulation is a well-studied topic . Also in computer graphics, triangulations are used to form any kind of shape of an object. Although many algorithms have been introduced ...

    • Simulation and analysis of battery performance of a solar car using a model implemented in simulink 

      Al Maliniud, Abdullah; Zaman, Asif; Jafar, Imran Bin (© 2015 Institute of Electrical and Electronics Engineers Inc., 2015-12)
      Battery performance of a proposed solar car has been investigated under different road conditions while the car makes a nip in one of the longest routes in Dhaka city, using a model developed in Matlab Simulink. A significant ...

    • Skin cancer detection and classification using multiple optimized deep convolutional neural network 

      Sakir, Adnan; Chowdhury, Mustakim Anwar; Rahman, Maksura; Mostafiz, K. M Shefat (Brac University, 2022-05)
      This work tries to detect skin cancer and classify its type using datasets containing labeled images and classes, using pre-trained CNN models and merged pre-trained CNN models. Skin cancer is an abnormal growth of skin ...

    • Skin disease detection and classification using deep learning 

      Shuvon, Mehedi Hasan; Sadia, Rowshanara; Shormi, Shanjida Habib; Arafin, Umma Tania; Chowdhury, Md. Rawha Mikdad (Brac University, 2022-01)
      Skin Diseases have been the primary focus of this study, as they are one of the most lethal diseases if not diagnosed and treated early. The research will enable the fields of Medical Science and Computer Science to ...

    • Skin lesion classification using different CNN models 

      Oli, Md. Yahea Sultan (Brac University, 2023-05)
      The field of dermatoscopic image classification has gained significant attention as there is a growing demand for early diagnosis of specific diseases. The use of deep learning is increasingly significant in the quest ...