Browsing 2024 by Issue Date

Browsing 2024 by Issue Date

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  • Scalable Blockchain System for Industrial Internet of Things 
    Faisal, Fahim; Rahman, Mishal Al (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-01-01)
    Blockchain being a trustless medium makes the flow of data much easier and more secure. Blockchain can be used in various sectors like health, finance, agriculture, supply chain, etc. Recently the integration of blockchain ...
  • PrivacyExtractor: Automated Annotation and Classification of Privacy Concerns in User-generated App Reviews 
    Farah, Labiba; Islam, Md. Sakibul; Anam, MD Mohaymen Ul (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-05)
    This thesis presents the development of a sophisticated tool designed to automatically annotate and classify privacy-related user reviews from the Google Play Store and a novel dataset. With privacy concerns becoming ...
  • ML Model Access and Collaborative Training through Decentralized Data Contribution 
    Islam, Md Samin Yasar; Khan, Arafat Kabir; Noor, Agni Otulonio (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-05)
    Machine learning has been at the heart of various industries by enabling systems to learn from data and improve their performance over time. Its applications span a wide range of fields, from healthcare to finance, ...
  • Improving Rice Leaf Disease Identification with Object Detection and Image Enhancement 
    Chowdhury, Rafi Hassan; Ahmed, Faria; Annesha, Tasfia Tasneem (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-11)
    Highly accurate rice leaf disease identification using lighter models can ensure food security globally and also less crop loss by maximizing the rate of disease identifica tion in proper time. Our thesis focus is on the ...
  • Utilising Sampling Techniques to Enhance Network Intrusion Detection System (NIDS) Performance in Imbalanced Data Scenarios 
    Dicko, Idrissa Mahamoudou; Rageb, Sabry Said Sabry; Kindzeka, Shalanyuy Nabil (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-19)
    In contemporary cybersecurity research, the fusion of sampling techniques with state of-the-art Machine Learning (ML) and Deep Learning (DL) models has emerged as a pivotal area of exploration, aimed at enhancing the ...
  • BDA: Bangla Text Data Augmentation Framework 
    Tariquzzaman, Md.; Anam, Audwit Nafi; Haque, Naimul (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-23)
    Data augmentation can be a valuable technique, particularly in resource-scarce linguistic domains for improving the performance of natural language processing tasks by creat ing new synthetic data instances. This paper ...
  • Anomaly Detection in IoT Devices Using Quantum Machine Learning 
    Karim, Shaikh Faiyaz; Chowdhury, Sajid Ahmed; Bhuiyan, Md. Shahriar Islam (2024-06-24)
    The adoption of the Internet of Things in our daily lives has led to an explosion of data. As we stay connected our data is exposed in various networks which can be a huge security concern. It is important to effectively ...
  • Fake News Detection with Credibility Signals 
    Tarannum, Prerana; Roza, Sabrina Sajneen; Lamia, Rifa Sanjita (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-25)
    In the era of huge information, it is necessary to justify the online contents whether it is true or false. Nowadays it is a great challenge to detect false information as the online contents sometimes show numerous ...
  • A Hybrid Approach for Long Document Summarization: Optimizing Cross-attention and Abstractive Performance 
    Shishir, Tanvir Hossen; Hossain, M. Mohtasim; Rashad, Fahim Sadik (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-26)
    This thesis addresses the challenge of long document summarization within the do main of Natural Language Processing (NLP), with a primary focus on enhancing fac tual consistency and text coherence while effectively managing ...
  • Identity Trace: E-Government Application System 
    Abdoulmalik, Walidi; Mukaddas, Ahmad Muhammad; Bodjam, Malamine (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-26)
    Identity Trace, part of the E-Government project, aims to transform the way we access public services using face recognition in visa applications. This thesis presents the creation of a web system that is highly secure ...
  • Roshd: A Mobile App for Educational Institute 
    Shah, Sayed Ghazanfar; AbuMettleq, Alaaeddin; Kamal, Mohammed (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-26)
    The Roshd mobile application is a sophisticated tool designed to streamline school management and communication. It has been Developed using Dart and the Flutter framework in Android Studio, the app addresses the needs of ...
  • Creating a novel adaptive AI for a Real-Time Fighting game 
    Muti, Abdullah Al; Khan, Iftikhar Imrul; zaz, Taszid I (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-27)
    AI has transformed how we play, bringing both online and offline gaming to excit ing new levels.While progress has been made in many areas, research in game AI hasn’t kept up like other fields. In this research, we want ...
  • Autism Detection with Technology-driven Gaze Tracking 
    Haider, Syed Fateen Navid; Rahman, Tafsir Md. Rubaiyat; Rifa, Mohsina Tabassum (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-30)
    Early detection and rehabilitation for Autism Spectrum Disorder (ASD) can be challenging, hampering optimal outcomes. Despite breakthroughs in research, the nuanced nature of ASD symptoms frequently leads to delayed ...
  • Enhancing Few-Shot Medical Image Segmentation with Refined Prototypes 
    Ishrak, Isaba; Nushra, Sabah; Anika, Fairoz (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-30)
    Deep learning has achieved tremendous success in computer vision, while medical image segmentation (MIS) remains a challenge, due to the scarcity of data anno tations. Deep learning-based medical image segmentation methods ...
  • Evaluating the Robustness of Image Steganography Techniques against Diverse Degradation Techniques 
    Orpa, Lamiya Tahsin; Ferdous, Rahanuma Ryaan; Hasan, Umme Tasnim (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-30)
    Within the field of steganography, image steganography is a fascinating technique that hides confidential data behind a cover image. However, the quality and security of hidden content are threatened by potential degradation ...
  • Improving Few Shot Adaptive Learning for Medical Image Classification using Vision Transformer(ViT) 
    Arif, Nokimul Hasan; Ahbab, Sakif; Aziz, Syem (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-30)
    Medical image classification plays a pivotal role in automating disease diagnosis and treatment planning. However, the limited availability of annotated medical data poses a significant challenge for training accurate ...
  • Extraction of app problems and its corresponding user action from user review of apps using few-shot learning 
    Khan, Maman Yusuf; Eftee, Sadik Yasin; Noor, Raiyan (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-30)
    User reviews provide the developers with very important feedback on how to fix the problems, improve application performance, and enhance the user experience. However, these are very unstructured, containing typographical ...
  • A lightweight deep learning based approach for rice leaf disease classification 
    Moir, Zaed Bin; Abrar, Rakin; Rafit, Hasibul Hasan (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-30)
    Efficient and timely identification of diseases and pests in rice plants is crucial for farmers to apply timely interventions and mitigate economic losses. The recent ad vancements in deep learning, particularly in ...
  • A Diverse Bengali-English Code-Mixed Dataset for Sentiment Analysis 
    Nishita, Sadia Alam; Alvee, Navid Hasin; Siddique, Md. Shahnewaz (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-30)
    Code-mixed data, blending two or more languages within sentences, offers valuable insights for low-resource languages like Bengali, which have limited annotated cor pora. While sentiment analysis has been widely explored ...
  • Detection of Social Media Cyberbullying in the Bengali Language : A Comparative Study 
    Prangon, S.A.M Sajratul Yeaken Mollah; Asif, Anik Emtiaz; Taha, Fayeaz-E-Abrar (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-30)
    As social media platforms have become more widely used, cyberbullying has become a major issue that cuts over linguistic and geographic barriers. Although significant efforts have been made to identify cyberbullying in ...

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