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

Now showing items 1193-1212 of 1407

    • Security analysis in cognitive radio network 

      Nasnin, Fahia; Islam, Najia (BRAC University, 4/18/2017)
      In wireless communication system Cognitive Radio(CR) is a structure that can gives an intelligent privileges to communicate over internet. Cognitive Radio(CR) intel- ligently allows user to use free spectrum. It is dynamically ...

    • Segmentation based Kidney Tumor Classification using Deep Neural Network 

      Mehedi, Md Humaion Kabir; Haque, Ehteshamul; Radin, Sameen Yasir; Ur Rahman, Md. Abrar (Brac University, 2022-01)
      Kidney disease is one of many severe chronic disease that a person can have. Early detection of this disease can be pivotal for proper treatment. Different neural net works have proven to be useful in disease prediction ...

    • Segmentation of Bangla handwritten text 

      Sadik, Sabbir; Sarwar, Md. Numan (BRAC University, 8/13/2012)
      Segmentation of handwritten text is the pre-process of recognition of handwritten text. Because of skewed lines, touching characters and different writing styles, segmentation of handwritten text is difficult than printed ...

    • Self-driving car: a step to the future of mobility 

      Islam, Mohammad Zahirul; Hannan, Mohammad Abdul; Waliuzzaman, A K M; Ahsan, Ali (BRAC University, 2018-10)
      Self-driving car also known as a driverless car is one of the most surprising technologies of twenty first century. In coming years, autonomous car would definitely take a large market in the developed countries and it ...

    • Self-learning game bot using deep reinforcement learning 

      Ananto, Azizul Haque (BRAC University, 2017-12)
      We present a deep learning model for playing games with high level input (image/raw pixel) using reinforcement learning. The games are action limited (like snakes, catcher, air-raider etc.). The model consists of convolution ...

    • Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder 

      Farzana, Maisha; Any, Md. Jahid Hossain (Brac University, 2020-03)
      Automated semantic segmentation of brain tumors from 3D MRI images plays a significant role in medical image processing. Early detection of these brain tumors is highly requisite for the treatment, screening, diagnosis ...

    • Semantic segmentation with attention dense U-net for lung extraction from X-ray images 

      Auvy, Akib Al Mahmud; Sharif, Shezhan; Chowdhury, Aseer Iqtider; Elahi, Mahbub-E; Mahmud, Washik Al (Brac University, 2023-03)
      "In the diverse field of computer science, deep learning and digital image processing plays a vital role in medical image research. With a deep knowledge on hand, we can make a machine understand any medical documentation, ...

    • Semantic text extraction from CAPTCHA using Neural Networking 

      Chowdhury, Iftekhar Kabir; Jarif, Md. Nahiyan; Showmik, Sadman; Oishi, Farah Farhin; Bin Jinnat, Afif (Brac University, 2022-05)
      CAPTCHA stands for Completely Automated Public Turing Test to distinguish Computers and Humans Apart. CAPTCHA is used for a variety of reasons, includ ing internet security. There are various CAPTCHA methods available ...

    • Semi-automatic building of wordnet for Bangla 

      Roy, Mritunjoy Chandra Saha; Muqtadir, Maruf (BRAC University, 2008-01)
      This paper presents a method for creating a Bangla wordnet, semi-automatically from other source wordnets and Bilingual Dictionaries. The method requires an extensive involvement of Bangla Linguists to make the effort ...

    • Sensing properties of gas sensor based on adsorption of NO2 with defect, pristine, Fe and Si-MoS2 layer 

      Shakil, Shifur Rahman; Khan, Sabbir Ahmed (© 2014 Sumy State University, 2014)
      Two-dimensional (2D) layered materials are currently being considered as entrant for future electronic devices. Molybdenum disulphide (MoS2) belongs to a family of layered transitional metal dichalcogenides(TMDS),has a ...

    • Sensor based water quality monitoring system 

      Paul, Bishwajit (BRAC University, 2018-08)
      According to Human Rights Watch, twenty million people in our country are still drinking water contaminated with arsenic. The World health Organization (WHO) has also stated this crisis as "the largest mass poisoning of ...

    • Sentiment analysis for Bangla microblog posts 

      Shaika, Chowdhury; Chowdhury, Wasifa (BRAC University, 2014-01)
      Sentiment analysis has received great attention recently due to the huge amount of user-generated information on the microblogging sites, such as Twitter [1], which are utilized for many applications like product review ...

    • Sentiment analysis for Bengali newspaper headlines 

      Hossain, Mohammad Samman; Jui, Israt Jahan; Suzana, Afia Zahin (BRAC University, 2017)
      In this project, we propose a system that assigns scores indicating positive or negative to newspaper headlines. Many works have been done on sentiment analysis, document clustering for newspaper headlines in English. We ...

    • Sentiment analysis in Bengali Text using NLP 

      Sarkar, Ankon; Sourav, Aishwarja Paul; Ahmed, Rezvi (Brac University, 2023-01)
      Natural Language Processing, a branch of AI, teaches computers to understand speech and text in multiple languages. Machine learning or deep learning techniques can be used to develop rule-based models of human-spoken ...

    • Sentiment analysis on Bangladesh airlines review data using machine learning 

      Hasib, Khan Md. (Brac University, 2022-02)
      A common means of transportation in our everyday lives is air travel. As a result, it's no surprise that more and more customers are posting their airline reviews online. However, in the age of machine learning, it would ...

    • Sentiment analysis on E-commerce based product reviews using machine learning algorithms 

      Arobi, Ritu; Rijon, Rakibul Hassan; Haque, Nimul; Safkat, T.I.M. Sakir; Safoan, Sk (Brac University, 2022-05)
      Opinions from others can be important when a choice is necessary, mainly when valuable resources such as time and wealth are involved. People often depend on their peers’ past experiences. The analysis of sentiments or ...

    • Sentiment analysis on mobile operators’ customer review 

      Hossain, Mohammed Mohibul; Rahman, Md. Mostafizur; Seaum, Samin Yeasar; Ahmed, Akil (Brac University, 2019-12)
      Mobile is a great invention for the global village. Now, people from different corners of the world are interconnected over this device. Therefore, in Bangladesh, there are different telecommunication companies have ...

    • Sentiment analysis to determine employee job satisfaction using machine learning techniques 

      Mouli, Nazifa; Das, Protiva; Bin Muquith, Munim; Biswas, Aurnab; Kabir Niloy, MD Dilshad (Brac University, 2023-01)
      Over the past three years, the COVID-19 epidemic had a significant impact on the labor market. Employees have been laid off and the majority of them have changed careers. If they can collect more datasets in the future, ...

    • Sentiment analysis using Natural Language Processing (NLP) & deep learning 

      Islam, Kazi Minhazul; Reza, Md. Safkat; Yeaser, MD. Samin (Brac University, 2021-09)
      It is an age of the Web and electronic media, and social media stages are one of the foremost frequently used communication mediums these days. But a few individuals utilize these platforms for a noxious reason and among ...

    • Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments 

      Rahman, Shaomi; Hemel, Jonayed Nafis; Anta, Syed Junayed Ahmed; Al Muhee, Hossain (BRAC University, 2018-04)
      Analyzing sentiments has been widely regarded as a popular technique by many researchers, and Twitter nominated the most user-friendly, and reliable social media supplying the stream of sentiments. Among the trendiest ...