Now showing items 701-720 of 1520

    • LRFMV: an efficient customer segmentation model for superstores 

      Toyeb, Md.; Mahfuza, Rezwana; Islam, Nafisa; Emon, Md Asaduzzaman Faisal (Brac University, 2021-06)
      In superstore business, the recency, frequency, and monetary (RFM) based on cus tomers’ purchase results is preferred to categorize valuable customers in order to increase profit margins. This paper develops an enhanced ...
    • Conversion of Bengali speech to text using long short-term memory(LSTM) 

      Chowdhury, Mohammad Fahim; Sultana, Zakia; Jahan, Nusrat; Alavi, Safkat Hasin (Brac University, 2021-01)
      Speech to text conversion is a remarkable topic in the field of Artificial Intelligence which is undoubtedly a significant medium of expressing human feelings and thoughts. However, if we compare it with text to speech, ...
    • Predicting COVID-19 disease outcome and post-recovery conditions using machine learning 

      Sajid, Abul Kasem; Kabir, Fahim; Rahman, Hasibur; Kundu, Indronil; Zaman, Sheersho (Brac University, 2021-06)
      With COVID-19 still running rampant across the world, accurate diagnosis of pa tients and proper management of medical resources is paramount in order to deliver proper care to those that need it most. In order to do this, ...
    • COVID-19 related fake news detection model 

      Shondhy, Sumaiya Islam; Khan, Forhad Ahmed; Ibrahim, Syed Shoaib; Barua, Shuvajit (Brac University, 2021-01)
      In this era of developed information and technology, any sort of information runs faster than air. The reliability of the information can be tricky at times. Some news publishing sources can publish news that are actually ...
    • Analysis of the impact of online education using EEG signals and machine learning algorithms 

      Hoque, Ehsanul; Ahmed, Tausif; Shabab, Mohammad Adituzzaman; Bakhtier, Tahsin Mohammad; Abdullah, Sayeem Md (Brac University, 2021-01)
      Online learning has allowed students from different walks of life to access a vast amount of information, allowing them to gain new skills. However, only having access to that information does not mean that the students ...
    • A Comparative study on Bengali handwritten character recognition and prediction using CNN 

      Abrar, Muntaqa; Kadir, Md Nazial; Faruk, Tabassum (Brac University, 2021-01)
      The transcription Bengali text to digital text is neither very efficient nor accurate. This proves to be a problem because most official work in Bangladesh is traditionally done in Bengali, on pen and paper hardcopy documents, ...
    • Yield prediction for precision agriculture using extreme gradient boosting and support vector regression 

      Ahmed, Md. Sabbir; Tazwar, Md. Tasin; Khan, Haseen; Roy, Swadhin; Iqbal, Junaed (Brac University, 2021-01)
      The rate of population growth of southern Asia is rising dramatically. As a part of this area, Bangladesh is no different. Moreover, the cultivable lands are declining at a huge rate. So to maintain the balance between ...
    • Classification of damaged vegetation areas using convolutional neural network over satellite images 

      Haque, Samiha; Rahman, Nazibur (Brac University, 2021-01)
      Forests and wild vegetation have always been highly significant natural resources throughout history and play a crucial role in keeping the climate and ecosystems well balanced. Over the years, there has been a growing ...
    • Heart disease prediction using techniques of classification in machine learning 

      Afrose, Sadia; Rubaiat, Farah; Tabassum, Homayra (Brac University, 2021-06)
      In this thesis we have examined the accuracy of various classifiers to predict heart disease and heart vessel blockage. We have also analyzed the key features contribut ing to heart vessel blockage. We have used a dataset ...
    • SCAMM: detection and prevention of SQL injection attacks using a machine learning approach 

      Alam, Auninda; Tahreen, Marjan; Alam, Md Moin; Mohammad, Shahnewaz Ali; Rana, Shohag (Brac University, 2021-01)
      Importance of cyber-security in protecting our valuable data and information is huge in this era of technology. Since numerous amounts of cyber-attacks take place every day, the development of a more secured system so ...
    • Enhancing object clarity in single channel night vision images using deep reinforcement learning 

      Hossain, Adil; Robbani, Mohammad Elham; Sazid, Md. Riaz Ul Haque; Siam, Sk. Shahiduzzaman; Abtahee, Wasiu (Brac University, 2021-01)
      There are a lot of novel approaches to image processing using Machine learning and classical image processing. But most of them take a huge dataset[like machine learning] or they are slow and inefficient[like plain image ...
    • Affective social anthropomorphic intelligent system 

      Mamun, Md. Adyelullahil; Abdullah, Hasnat Md. (Brac University, 2021-01)
      At present, intelligent virtual assistants (IVA) are not only about delivering the functionalities and increasing their performances; they also need a socially interactive personality. As human conversational styles are ...
    • Bangla number plate recognition from noisy video footage using deep learning 

      Chowdhury, Mahfuzur Rahman; Shahriar, MD. Muyeed; Meem, Esrat Jahan; Hossain, S.M.Faiyaz (Brac University, 2021-01)
      The automatic number plate recognition of a vehicle from noisy footage has become an important issue in Bangladesh. In Bangladesh, the number of vehicles is increasing at a very high frequency. Moreover, unlike the English ...
    • Examining lexical and grammatical difficulties in Bengali language using NLP with machine learning 

      Afroz, Sazia; Susmoy, M. Samiur Rahman; Anjum, Farhan; Nowshin, Nadiya (Brac University, 2021-01)
      Speech is the most relevant form of communication between individuals whereas computer systems use basic form of text or images Speech synthesis deals with the artificial production of speech, and a Speech-to-Text (STT) ...
    • SQL injection prevention using hyperledger fabric 

      Billah, MD. Minhazul; Zahir, Adnan-Bin; Tabassum, Syeda Lamia; Siam, Tanvinur Rahman; Labib, MD. Nefaur Rahman (Brac University, 2021-01)
      Web applications used nowadays are heavily dependent on huge amounts of data. SQL databases contain these data. However, these applications face major security breaches due to the vulnerability present in the databases. ...
    • Gene expression analysis using machine learning 

      Mostafa, Nafis (Brac University, 2021-01)
      Cancer is a multifactorial disorder that occurs due to the complex interaction between the environment and gene. The susceptibility of a person to cancer depends on his genetic build-up. Recently, the study of genomes in ...
    • IoT based Road accident controlling model using Wireless Body Area Network and GPS 

      Islam, Nayem-Ul; Zahid, MD. Tanvir; Zakwan, Kazi Fahd (Brac University, 2021-01)
      With the rapid growth of population and number of vehicle, trac collision and volume of accident is increasing rapidly. The lack of awareness, road condition, driver’s physical condition, car’s states are main causes behind ...
    • A Study of gainful employment of learners receiving skills training in the informal sector using Machine Learning 

      Raizan, Syed Ahsan; Alam, Sayed Tanjim (Brac University, 2021-01)
      Analyzing data on the populace involved in BRAC’s Skills Development Programme (SDP), receiving training for jobs and businesses in the informal sector of the economy, research aims to predict and/or classify whether or ...
    • Economic crisis prediction due to pandemic outbreak using machine learning 

      Ahmed, Tanvir; Hasan, MD. Nahid; Ashik, Md.; Hasan, Md. Jahid (Brac University, 2021-01)
      Since pandemic disease outbreaks are causing a major financial crisis by affecting the worldwide economy of a nation, machine learning techniques are urgently required to forecast and analyze the economy for early economic ...
    • Economic crisis prediction due to pandemic outbreak using machine learning 

      Ahmed, Tanvir; Hasan, MD. Nahid; Ashik, Md.; Hasan, Md. Jahid (Brac University, 2021-06)
      Since pandemic disease outbreaks are causing a major financial crisis by affecting the worldwide economy of a nation, machine learning techniques are urgently required to forecast and analyze the economy for early economic ...