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Browsing 2023 by Title

Browsing 2023 by Title

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  • Agro Business Management System 
    Rayhan, Md. Abu; Roshid, Rafsana; Siddika, Ayesha (Department of CSE, BUBT, 2023-06)
    The proposed digital Business Management System is designed to revolutionize the current analog system used by the organization, which requires significant physical labor and manpower. The new system is expected to enhance ...
  • Apple Disease Diagnosis for Precision Agriculture Using Deep Learning Neural Network 
    Islam, Md Manzurul; Haque, Md Rafsanul; Islam, Shariful; Eshan, Touhiduzzaman; Santo, Md Erfan Ahammed (Department of CSE, BUBT, 2023-05)
    Fruit diseases in agricultural products could result in financial loss. A human specialist could classify diseases, which is the traditional method, but it is costly and time-consuming. In this paper, we focus on an important ...
  • An Automated Image Description in Bengali using Natural Language Processing (NLP) and Machine Learning Algorithms 
    Sraboni, Mirza Jannatul Afrin; Trina, Anika Tabassum; Borno, Ahmed Azmi; Islam, Shoumik; Tuhin, Al Shahariar Kabir (Department of Computer Science & Engineering (CSE) , BUBT, 2023-09)
    Recent developments in several areas, including computer vision and language produc- tion, have been made possible by the combination of Natural Language Processing (NLP) and Machine Learning (ML) methods. In order to ...
  • Banana Variety Classification Using Transfer Learning: Leveraging Pre-trained Models for Accurate Identification 
    Hossain, Md. Anwar; Sheikh, Ripon; Hossain, Moazzem (Department of Computer Science & Engineering (CSE) , BUBT, 2023-09)
    In recent times, there have been different varieties of bananas in our country, which we cannot understand when we see them easily. When we go to a shop or market, we cannot tell which type of banana it is, which is a ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Cassava Leaf Disease Classification using Supervised Contrastive Learning 
    Shakil, Mehedi Hasan; Mim, Sadiya Akter; Arafah, Sayefa; Shammey, Nusrat Jahan; Nayeem, Abid Hassan (Department of CSE, BUBT, 2023-04)
    Cassava is a nutty-flavored long bulbaceous starchy root vegetable. It is the principal source of calories and carbs for many people around the world, especially in southern Africa. Cassava production is most common in ...
  • CITY BUS MANAGEMENT SYSTEM 
    Rahman, MD: Mesbah Ur; Roy, Chayan; Hassan, MD: Mehede (Department of Computer Science & Engineering (CSE) , BUBT, 2023-08)
    The "City Bus Management System" is a comprehensive software solution designed to modernize and streamline the management and operation of city bus transportation services. This project aims to provide an efficient and ...
  • 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 ...
  • A Comparative Analysis of Machine Learning and Deep Learning for Detecting and Classifying Mango Leaf Diseases 
    Hasan Al Mahmud; Al Shahriar Emon; Hashibur Rahman Redoy; Rifatul Islam; Tanvir Hossain Khan (Department of CSE, BUBT, 2023-06)
    The rapid advancement of machine learning (ML) and deep learning (DL) techniques has opened up new avenues for automated disease detection and classification in agricultural settings. This paper presents a comprehensive ...
  • 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 ...
  • 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 ...
  • 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
  • Cyber Text Classification Analyzing Social-Media Data with Transfer Learning Models 
    Mazumder, Mahjabin Namira; Faruk, Md. Omar; Hasan, Mehedi; Amin, Fariba; Rahman, Syeda Saloya (Department of CSE, BUBT, 2023-06)
    Sentiment analysis, spam detection, and subject classification are just a few of the areas where cybertext classification is crucial. The demand for precise and effective lassification methods has increased dramatically ...
  • A Decentralized Approach using Blockchain Enabled Federated Learning for Interconnected Vehicular Network 
    Sultana, Shirin; Hossain, Jahin; Billah, Maruf; Khan, Imtiaz; Shajeeb, Hasibul Hossain (Department of CSE, BUBT, 2023-04)
    Autonomous vehicles have made it important for vehicles to share information quickly and easily to make driving safer and make smart transportation possible. However, centralized data sharing approaches pose security and ...

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