Faculty of Engineering & Applied Sciences: Recent submissions

  • Investigation of the effect of beta vulgaris extracted natural coloration with different mordents 
    Ul Islam, Zawad; Nahar, Afrin; Sifat, Hasan Sanzid; Shohag, Md.Hriyadul Islam (Department of Textile Engineering, BUBT, 2023-08)
    To this day, the vast majority of cotton fabrics are colored with synthetic dyes such as reactive, acid, and other similar dyes, all of which are typically not kind to the environment. Beta Vulgaris was used as a bio-based ...
  • PREPARATION AND CHARACTERIZATION OF PVA/AZADIRACHTA INDICA BIO-COMPOSITE FOR THE ADVANCED MEDICAL TEXTILE APPLICATIONS 
    Islam, Md Didarul; Miah, Ashik; Hasan, Zahid; Das, Shaikat; Rakib, Akibur Rahman (Department of Textile Engineering, BUBT, 2023-08)
    In recent years, the development of bio-composites for various applications has gained significant attention due to their sustainable and multifunctional nature. The combination of Polyvinyl Alcohol (PVA) and Azadirachta ...
  • Project Report On Comparison among Various Impact Factors of Conventional Bleach Wash and Sustainable Bleach Wash Process on Denim Trousers 
    Sifath Un Nabi, Md.; Mia, Md. Rony; Likhon, Ahsan Habib; Mia, Imran; Seyam, Sha Md Alfaz; Sen, Rinita (Department of Textile, BUBT, 2023-08)
    This study undertakes a comprehensive comparison of various impact factors associated with conventional bleach wash and sustainable bleach wash processes applied to denim trousers. As the textile industry endeavors to ...
  • Human Heart Failure Prediction Using Machine Learning Algorithm 
    Chowdhury, Lopa; Khatun, Tamanna; Akter, Usha; Khatun, Tammy; Emon, Enamul Hossain (Department of CSE, BUBT, 2023-07)
    The heart is an important organ that controls blood flow in the body. Heart failure is not a disease, but a clinical condition. The body’s circulatory needs cannot be met by the heart as a result of it because it affects ...
  • Facial emotion recognition using deep learning based approach 
    Oishy, Amena Alam; Falguni Khan, Falguni; Ava, Fahria Israt; Sultana, Syeda Nafia (Department of CSE, BUBT, 2023-08)
    Facial emotion recognition is a crucial task in the realm of computer vision and artificial intelligence, facilitating applications such as human-computer interaction, emotion-aware computing, and sentiment analysis. In ...
  • Brain Tumor Detection using Convolutional Neural Network (CNN) 
    Rahman, Md. Ashiqur; Saif Un-Nur, Mostafa; Nawaus, Tanvir; Ahamed, Faiz; Rahman, Sakibur (Department of CSE, BUBT, 2023-08)
    Begin with image processing for technology to detect brain tumors. I.e. (The identification of tumor/cancer cells from brain images is primarily based on image recognition methods, since these images are complex and human ...
  • Hospital Management System 
    Mohammad Tuhin; Md Khalid Hasan; Md. Touhidul Islam (Department of CSE, BUBT, 2023-06)
    Introducing Our Hospital Management System (HMS): A user-centric and dynamic web-based platform designed to revolutionize healthcare accessibility. Our project's primary focus is to develop a comprehensive hospital website, ...
  • IoT Based Human Health Monitoring and Automation system for Hospital 
    Hossain md Nasrullah; Meher Afzan Mehnaz; Md Ali Akbar; Md Imran Ali mondol; Md Abdur Rahman Rayhan (Department of CSE, BUBT, 2023-06)
    To design this IoT based health monitoring and automation system we use here IoT Platform named Blynk. This application is used here to monitoring and controlling of our total system. In this system we used here different ...
  • Bangla Hand Sign Recognition Using HANDCNN Model for Multi-Hand Sign Datasets 
    Md. Oli Ullah; SM Nuruzzaman Nobel; Omar Faruque Sifat; Arnob Shariar; Ferdous Mostafa Meem (Department of CSE, BUBT, 2023-06)
    Hand sign recognition is an emerging field in computer vision that focuses on understanding and interpreting gestures made by human hands. This technology plays a crucial role in various applications, including sign language ...
  • Bangla Hand Sign Recognition Using Machine Learning 
    Fahim Hossen; Golam Mowla Joy; Tahsina Najnin; Al Imran Abir; Zarif Bin Zakir (Department of CSE, BUBT, 2023-06)
    Bangla hand sign recognition is an emerging field in computer vision and machine learning that aims to bridge the communication gap between individuals with hearing and speech impairments and the general population. This ...
  • Mango Leaf Disease Analysis Using CNN 
    Bhakti Ranjon Roy; Sourav Kumar Roy; Jamiul Haque Jamy; Shipul Roy; MD. Tamim Hasan (Department of CSE, BUBT, 2023-06)
    Mango is an economically significant tropical fruit, vulnerable to various diseases that can significantly impact yield and quality. In this study, we propose a mango leaf disease analysis system using Convolutional Neural ...
  • Bangla Fake News Detection Using Machine Learning Algorithms 
    Sadia Afrin; Md. Masudul Islam Asif; Md. Tahmid Hossain Rasel; Tahmina Akhter; Jannatul Ferdous Tonni (Department of CSE, BUBT, 2023-06)
    In our present era, where the internet is pervasive, everyone relies on many online news sources for information. News quickly disseminated among millions of people within a relatively short time due to the increase in the ...
  • Online Hospital Management System (OHMS) 
    Tasnia Tahsin; Md Habibur Rahman; Ismat Ara (Department of CSE, BUBT, 2023-06)
    Our main focus is design an Online Hospital Management System (OHMS) that will improve hospital experience for both patients and the hospital authorities. The whole system will run on internet. Our project OHMS includes ...
  • Find Tools (E-commerce Website) 
    Md. Amir Khosru; Md. Topu Raihan Robin; Al Amin Hossen (Department of CSE, BUBT, 2023-06)
    The purpose of this project report is to present the development process and outcomes of the Find Tools E comm erce Website. The website was built using JavaScript, React, Visual Stud io Code, and Node.js. This report ...
  • E-Commerce Website 
    Soyed Imran Hossain; Md Sohel Rone; Rukhsana Haque (Department of CSE, BUBT, 2023-06)
    We live in a fast-paced world, where the internet is the most important aspect of life. You can even conclude the internet is one of the basic needs of people’s day-to-day needs. The main use of the internet belongs to two ...
  • Sea Animal Classification Using Deep Learning and CNN 
    Farhana Amir; Md.Emon Ali; Mosraful Habib; Moinul Islam; Sifat Jahan Munia (Department of CSE, BUBT, 2023-06)
    Artificial intelligence developments can substantially help with this difficult challenge. of classifying different species of sea animals based on their visual characteristics. With the use of convolutional neural ...
  • School Management System 
    Md. Riad Ahmed; Thawhidul Bepari; Abu Sahadat Md. Hossain (Department of CSE, BUBT, 2023-06)
    The School Management System is an integrated software solution designed to streamline and automate various administrative and academic processes within educational institutions. This system aims to improve efficiency, ...
  • Plant Leaf Disease Detection using CNN and VGG-16 
    Md. Moniruzzaaman Mithun; Fazle Rabby Rohan; Fatema Hassan; Shuvro Kanti Roy; Udoy Kanti Roy (Department of CSE, BUBT, 2023-06)
    This paper focuses on creating a model that works better in our native tongue for generation captions from the images because it would be applied to any website or app and is easy to use even by blind people. Moreover, ...
  • Handwritten Character Recognition 
    Tanjila Monjur Nahin; Kaniz Fatima; Nilima Mahmud Suchana; Md.Mahmudul Hasan; Md.Hasibul Hossain Sabbir (Department of CSE, BUBT, 2023-06)
    In the past few decades, Deep Learning has proved to be a very powerful tool because of its ability to handle large amounts of data. The interest to use hidden layers has surpassed traditional techniques, especially in ...
  • Hand Gesture Control Robot Using Arduino Module 
    MD. Mahfuzur Rahman Shovon; MD.Nayeem Hossain; Nizum Daru; Shahnaj Sultana Bithi; Mehebub Shanjid Anik (Department of CSE, BUBT, 2023-06)
    Advances in speed and adaptability have made robotic system automation a reality. The importance of robots and automation in the fourth industrial revolution cannot be overstated. Moving anything has always required some ...

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