Now showing items 21-40 of 40

    • Evaluating user influence in Twitter based on hashtags using data mining 

      Neha, Maheen Absar; Rahman, Md. Intisher; Nuzhat, Mahpara; Zereen, Sifat (BRAC University, 2017-08)
      As more and more data is being processed and generated every day, it has become a tremendous challenge to process and analyze. Big data analysis is a process of collecting, organizing and analyzing large sets of data to ...
    • Exploring the applications of deep reinforcement learning and quantum variational circuit In quantum machine learning 

      Saha, Prashanta Kumar; Saha, Vishal (Brac University, 2021-09)
      In recent years, quantum computing has outperformed classical computing in many aspects, including the advancement of approaches in Reinforcement Learning prob- lems. Particularly, it has the power to utilize the quantum ...
    • Gene classification and pattern analysis using data mining and machine learning techniques 

      Ramisa, Aiman Jabeen; Hossain, Ananna; Islam, Sk Md Injamul; Swadesh, Ponuel Mollah; Islam, Md. Toushif (Brac University, 2021-06)
      Gene classification and pattern extraction from gene sequence data is essential in understanding different gene sequence features. The field of gene expression data analysis has grown in the past few years from being ...
    • Graph data mining-based community clustering for gender-biased community detection of social media 

      Dev, Sanjoy; Tabassum, Maliha; Khan, Mohammad Rahat; Hoque, Maliha Bushra; Fatema, Basharat (Brac University, 2023-05)
      One of the alarming and uprising issues of the world is gender inequality in recent decades. It is a widespread problem that affects people all around the world, albeit its manifestations and severity vary depending on ...
    • Heart failure risk prediction and medicine recommendation system using exploratory analysis and big data analytics 

      Habib, Sumaya; Moin, Maisha Binte; Aziz, Sujana (BRAC University, 2018-12)
      With the ever increasing population of the world, diseases and their possibilities are also increasing at an alarming rate. As time passes by, diagnosing diseases and providing appropriate treatment at the right time has ...
    • Identification and comparison of factors behind mental turbulence of public and private university students 

      Tahsin, Md. Akil; Hannan, Sumaiya; Shifa, Fabiha Rumman (Brac University, 2021-06)
      Among the young generation of Bangladesh, especially university students, mental health is a challenging but ignored topic. The primary goal of this paper is to analyze mental states found in university students all while ...
    • An implementation and analysis of deep learning models for the detection of wheat diseases 

      Zubair, Ahmad; Keya, Sharmin Akter; Shailee, Tasnia Zarin; Lenin, Syed Mahathir Md; Nandi, Dhruba (Brac University, 2023-09)
      Detecting a disease visually is a time-consuming and error-prone operation, and in the agricultural arena, for disease control, crop yield loss prediction, and global food security, automatic and accurate evaluation of ...
    • Intelligent assisted living in pregnancy 

      Zaman, S. M. Tanveer; Tasneem, Rafia; Shakerin, Tasmia (Brac University, 2022-01)
      Pregnancy period has always been the most sensitive and tenacious phase for the mothers to go through. Despite living in this modern world, it is still difficult to fight with the distress and complications of pregnancy, ...
    • Market basket analysis for improving the effectiveness of marketing and sales using Apriori, FP Growth and Eclat Algorithm 

      Khan, Mohammod Akib; Solaiman, Kazi Mohammad; Pritom, Touhid Hossain (BRAC Univeristy, 8/21/2017)
      Data mining approach with the help of best frequent pattern extracting algorithm can have a big impact in the field of marketing and sales. Frequent pattern mining is a widely researched field in data mining because of its ...
    • Medical image reader powered by artificial intelligence 

      Palok, Tanvir Ahmed; Ahmed, Symum; Anim, Golam Kibria; Ratul, Shahed Sharif Bhuiyan; Alam, Shahrear (Brac University, 2023-09)
      Misdiagnosis in medical imaging is a critical concern, risking patients’ health due to the pivotal role of radiologists’ accuracy in diagnostics. Current cross-checking methods for radiologists’ decisions are limited, ...
    • Predicting a T20 cricket match result while the match is in progress 

      Munir, Fahad; Hasan, Md. Kamrul; Ahmed, Sakib; Md. Quraish, Sultan (BRAC University, 8/23/2015)
      Data Mining and Machine learning in Sports Analytics, is a brand new research field in Computer Science with a lot of challenge. In this research the goal is to design a result prediction system for a T20 cricket match ...
    • Predicting depression in Bangladeshi undergraduates using machine learning 

      Choudhury, Ahnaf Atef; Khan, Md Rezwan Hassan; Nahim, Nabuat Zaman; Tulon, Sadid Rafsun (BRAC University, 2018-12)
      Depression is a major disorder and a growing problem that impacts a person’s way of living, disrupting natural functioning and impeding thought processes while they might remain oblivious to the fact that they are suffering ...
    • Prediction of rainfall using data mining techniques 

      Prema, Fahmida Tasnim; Ahmed, Sharmin; Islam, Md. Rifat (BRAC University, 2017)
      The research for this paper concentrates on finding inter-relations between various climatic indices and predict precipitation consequently. And since rainfall is the prominent reason behind flood, our study can aid immensely ...
    • Product recommendation system 

      Sajid, Md.Ashiq Ul Islam; Romeo, Raihan; Farid, Sheikh; Tasin, Mohammed Shahrier (Brac University, 2023-09)
      Recommender systems play a role, in helping consumers by suggesting products. These systems rely on algorithms, many of which are based on machine learning from the intelligence field. However, choosing the algorithm for ...
    • Stock price prediction 

      Das, Kaushik; Azad, Tahzib; Islam, Sadid; Chowdhury, Nuzhat; Ahmed, Nazia (Brac University, 2023-05)
      Accurately predicting the stock value enables investors to earn more money, reducing their uncertainty on whether to buy and sell. Again during the COVID-19 period, many companies have shown a different picture of the ...
    • A study of malware classification using deep learning 

      Rahman, Mohammad Muhibur; Ahmed, Anushua; Khan, Mutasim Husain; Jamshed, Abrar; Rahman, Md Hafijur (2023-09)
      Malware represents an intrusive computer program that is engineered by cybercriminals to destroy computer systems or steal and manipulate sensitive data. Malware classification is crucial to malware detection as it helps ...
    • Supershop management Models: An optimised way to manage the supershop using hyperautomation and machine learning 

      Ahmed, Shuvro; Mojumder, Rajesh; Rahman, MD.Mahmudur; Karmoker, Joy; Fatin, Shadman (Brac University, 2023-01-23)
      Customers are the heart and soul of supermarkets, and these stores often suffer losses due to mishandling of customer service. This study aims to examine how the satisfaction of customers can be maximized with the help ...
    • Time-Series Forecasting of Ethereum Price using Long Short-Term Memory (LSTM) Networks 

      Al-Wasee, Mohammad Samin; Kundu, Promee Shankar; Mahzabeen, Israt; Tamim, Tasnim (Brac University, 2022-05)
      In recent times, ether (ETH) has become one of the most popular cryptocurrencies that is gaining significant interest from crypto investors and developers across the globe. The increased interest in this cryptocurrency ...
    • Utilizing deep learning architectures for early detection of lung diseases in chest X-ray images 

      Ahmed, Sarder Tanvir; Mahdin, Mohammad Fairoz; Barua, Shomtirtha; Abir, Fahim Shariar (Brac University, 2023)
      "COVID-19 and viral Pneumonia are types of lung disease that are highly infectious, and have a tendency of causing an outbreak, that then puts stress on the healthcare sector. When the COVID-19 pandemic first began there ...
    • Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment 

      Shihab, Ibne Farabi; Oishi, Maliha Moonwara (BRAC University, 2018)
      A restaurant business is a very prospective and profitable business nowadays. However, ensuring quality food, good stuff, inner-environment etc. is a big concern and most importantly before facing all these, the trickiest ...