2023: Recent submissions

  • Comparative Analysis on Deep Learning Methods in Detecting Pneumonia and Tuberculosis from Chest X-Ray 
    Munia, Shifat Jahan; dash, Tushe; Ritu, Nowshin Tabassum; tasnim, Nishat; Karim, Md Shafiaz (Department of Computer Science & Engineering (CSE) , BUBT, 2023-11)
    Tuberculosis and pneumonia are debilitating respiratory diseases that pose significant health challenges globally. Timely and accurate diagnosis of these diseases is crucial for effective treatment and control. This has ...
  • Cardiovascular Disease Prediction with Machine Learning 
    Zahan, Md Sarwar; Khatun, Naziya; Hossain, Md Al Sharif; Tasnim, Ramisa; Ahmed, Sabbir (Department of Computer Science & Engineering (CSE) , BUBT, 2023-11)
    Cardiovascular disease (CVD) is a significant global health concern and a leading cause of death. A machine learning odel is the best predictor for the early detection and accurate prediction and prevention of CVD and ...
  • Online Shopping System 
    Ahmed, Raju; Hasan, Md. Mehadi; Rahman, Md. Mushfikur; Rahaman, Mizanur; Islam, Md. Shariful (Department of Computer Science & Engineering (CSE) , BUBT, 2023-11)
    Ecommerce is an option to buying and selling products via internet. There are so many people who go to market and buy their needy products physically and after that they back home by their own or public transport. But ...
  • IOT Based Automated Gate Unlocking System 
    Emon, Asadullah; Rahman, Tanvir; Mahmud, Md. Rakib; Rahman, Ashikur; Ayatullah, Md. (Department of Computer Science & Engineering (CSE) , BUBT, 2023-07-21)
    The gate unlock system using Arduino Uno, servo motor, and ultrasonic sensor is an automated system that enables the unlocking and locking of a gate without any human intervention. This project aims to provide a simple ...
  • License Plate Detection System using Machine Learning 
    Rafi, Nafiz Ar; Iasmin, Shohana; Md. Toha, Ashik-E-Rabbi-; Moon, Alimuzzaman; Hossen, Maruf (2023-11)
    License plate detection plays a crucial role in contemporary surveillance and transportation systems, with applications ranging from law enforcement to parking management and access control. This research report presents ...
  • Real-time Vehicle Monitoring and Route Prediction using Geolocation through LSTM 
    AHSAN, MD. NAZMUL; Sarker, Pallab; Bijoy, Md. Al-Amin Hossain; Siam, Nazmus Sakib; Hossain, Munna (Department of Computer Science & Engineering (CSE) , BUBT, 2023-11-30)
    Traveling by vehicle like bus, car, etc. is a popular form of public transportation because these are relatively affordable, convenient, accessible, and an environmentally friendly option. But sometimes it becomes difficult ...
  • A Novel Approach to Detect and Classify Strawberry Fruit and Leaf Diseases using Deep Learning 
    Usha, Nusrat Jahan; Hasan, Md.Rabby; Khanom, Tasnuba; Akter, Sanu; Mahee, B.M.Shadman Sakib (Department of Computer Science & Engineering (CSE) , BUBT, 2023-11)
    The research uses robust learning methods to identify powdery mildew and leaf scorch on strawberry fruit and leaves. The suggested method combines ResNet50 and InceptionV3 cognitive neural architectures. This method involves ...
  • Plant Leaf Disease Detection using CNN and VGG-16 
    Mim, Mahedi Hasan; Bhuiyan, Fahad Mahmud; Sumon, Saiful Islam; Shammi, Nusrat Jahan (Department of Computer Science & Engineering (CSE) , BUBT, 2023-11)
    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, ...
  • Enhancing License Plate Detection using U-Net 
    Ahmed, Sunjida; Amin, Md. Rahid; Jannat, Meftahul; Khan, Mahbubur Rahman; Ovi, Arifur Rahman (Department of Computer Science & Engineering (CSE) , BUBT, 2023-09)
    Enhancing License Plate Detection using U-Net
  • An Ensemble of Deep Learning Models for Bengali Cyberbullying Detection and Interpretability 
    Foysal, Sazzad Hossain; Ahad, Abdul; Hossain, Md Mithun; Nahin, Sk Munzurul Islam; Nayem, Sayada Jannatun (Department of Computer Science & Engineering (CSE) , BUBT, 2023-11)
    The present world has given people a huge amount of freedom and people frequently misuse this great opportunity by harassing others. Modern people use the internet as an essential part of their lives and there are almost ...
  • An Effective Identification of Tuberculosis in Chest X-rays Using Convolutional Neural Network (CNN) Models 
    Hossain, Sazzad; Islam, Ariful; Rahman, Md. Mohaimenur; Ridoy, Md. Saharior; Sharmin, Shobnom (Department of Computer Science & Engineering (CSE) , BUBT, 2023-11)
    Tuberculosis is a major cause of premature mortality. Tuberculosis (TB) remains a persistent global health concern, with millions of individuals affected every year. This paper provides an overview of the multifaceted ...
  • Skin Cancer Detection using Hybrid Neural Network Model 
    Das, Shobuj Chandra; Banna, Kazi Hasan Al; Rahman, Eftear; Biswas, Mrityunjoy; Shaha, Shajib Kumar (Department of Computer Science & Engineering (CSE) , BUBT, 2023-11)
    Skin cancer is a prevalent and potentially life-threatening disease, emphasizing the need for early detection to improve patient outcomes. Recent advancements in artificial intelligence and deep learning have given rise ...
  • Potato Leaf Disease Detection with Deep Learning Method Using Leaf Images and CNN Approach 
    Sujana, Rahnuma Nurain; Oishy, Sadeka Jafrin Khan; Feha, Fahmeda Ahmed; Tarequzzaman, Md.; Haque, Tanzila Binta (Department of Computer Science & Engineering (CSE) , BUBT, 2023-12)
    Potato leaf disease is one kind of venom disease which is the reasons of young leaves to roll and turn yellow or pink. Early blight, late blight, septoria blight etc are the familiar types of potato leaf diseases which ...
  • E-commerce 
    Ifti, Md. Rubayet Islam; Rafi, Rashadujjaman; Miah, Pias; Zidan, Md Nabil Hossain; Akter, Asha (Department of Computer Science & Engineering (CSE) , BUBT, 2023-11)
    This report is meant to describe all the features and procedures that were followed while developing the project. This report specially mentions the details of the project, how it was developed, the primary requirement ...
  • Classification of Tomato Leaf Disease Using CNN Merge Model 
    Taib, Mustain Murtaza; Islam, Md.Rakibul; Akter, Farzana; Rhaman, Asfia; Jamil, Muhammad Tazmul (Department of Computer Science & Engineering (CSE) , BUBT, 2023-12)
    Tomato leaf diseases provide a significant and widespread challenge to agri- cultural output, particularly in places such as Bangladesh. This research proposes an innovative artificial intelligence (AI) approach that ...
  • Corporate Ticket Management System (CTMS) 
    Faisal, A.K.M.; Alam, MD. Mahfuz; Dhar, Sourov Suttra (2023-10)
    Today’s corporate world is more focused on customer-centric organization and all business organizations try to make a win-win relationship with their customers and employees. Without customer satisfaction it is very ...
  • Deep Learning Techniques to Detect Skin Cancer 
    Ahmed, Md. Sajib; Jahid, Mehedi Hasan; Das, Sharna Rani; Salauddin, Sheikh Md; Ferdous, Jannatul (Department of Computer Science & Engineering (CSE) , BUBT, 2023-10)
    Deep Learning has been generally used in the last few years to increase diagnosis accuracy in medical imaging tasks including classification and segmentation. Advanced deep learning algorithms use layers of neural networks ...
  • Brain Tumor Detection and Classification Using Deep Learning Approach 
    Sakib, Adnan; Khan, Nisha Jaman; Shahrier, Labiba; Plabon, Kaushik; Akhter, Sadia (Department of Computer Science & Engineering (CSE) , BUBT, 2023-10)
    Brain tumors are a fatal condition that might result in a very limited life span. Misdiagnosis can lead to the improper medical action and lower a patient’s prob- ability of surviving. We address these difficulties by ...
  • Bangladeshi Vehicle Classification and Number Plate Detection Using Deep Learning and CNN 
    Rafee, MustafizurRahman; Ali, Qurban; Sholtana, P ervin; Karim, Md.Rejawl; Sadia, Halimatus (Department of Computer Science & Engineering (CSE) , BUBT, 2023-09)
    In the era of increasing urbanization and traffic congestion, efficient traffic man- agement systems are crucial for ensuring smooth vehicular flow and enhancing road safety. This project presents a extensive study and ...
  • COVID CHECKER: A NOVEL METHOD TO RECOGNIZE COVID PATIENTS USING DEEP LEARNING 
    Adnan, MD; Siddikey, Nur Alam; Khan, Md.Shakil; Ria, Sabrina Akhter; Azam, Md.Golam (Department of Computer Science & Engineering (CSE) , BUBT, 2023-09)
    COVID CHECKER: A NOVEL METHOD TO RECOGNIZE COVID PATIENTS USING DEEP LEARNING

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