Undergraduate: Recent submissions

  • Wavelet-infused U-Net for Breast Ultrasound Image Segmentation 
    Bakshi, Alif Arshad; Joarder, Reaz Hassan; Tasmi, Sidratul Tanzila (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-07-14)
    Breast cancer is a prevalent health concern globally. The consequences of breast can- cer and its mortality can be reduced through early detection and successful treatment. However, existing safe and non-invasive methods ...
  • 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 ...
  • Aspect Based Sentiment Analysis on a Novel Bangla Dataset Using Transformers 
    Rahman, Mumtahina; Fatiha, Kaniz; Rahman, Mehesum (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-07-05)
    Abstracts are crucial summaries of a thesis, balancing brevity and clarity while ef- fectively conveying the study’s essence. Despite their importance, many writers struggle with creating abstracts that are neither too ...
  • Zero-Shot Evaluation of Large Language Models on Medical Query Summarization Tasks 
    Chowdhury, Abrar; Sakib, Md. Sadman; Fahim, Farhan Shahriar (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-07-03)
    Online health consultations are becoming increasingly popular as a way for patients to discuss their medical health inquiries. In Bangladesh, patients are also using online health care solutions and thus providing medical ...
  • Automated Patient History Taking 
    Sabil, Azmayen Fayek; Barshat, Tasfia; Hossain, Abir (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-07-04)
    Traditional patient history-taking, often hindered by its time-consuming nature, in- completeness, and vulnerability to subjective bias, hampers accurate diagnoses and personalized care. This paper explores the limitations ...
  • Classification of Plant Leaf Diseases Using Few Shot Learning 
    Tahsin, Tasfia; Islam, Anika; Anjum, Zaarin (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-07-12)
    Our research on plant leaf disease classification is summarized in this report, emphasizing the use of few-shot learning methods in the task. Although the efficacy of traditional deep learning techniques is prominent, ...
  • A Framework for Grammar Inferencing using LLM Heuristics 
    Noman, Abdullah Al; Shreshtho, Talimul Bari; Sakib, Esrat Ebtida (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-07-04)
    Grammar inferencing is a major topic in the realm of programming language. To cre- ate and enhance the ecosystem of any programming language (which generally con- sists of optimized compilers, defined maintenance, and ...
  • 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 ...
  • 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 ...
  • 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 Faithfulness in Medical Text Summarization: An LLM-Based Approach 
    Oeshy, Nafisa Tabassum; Mostofa, Ajwad Abrar; Maheru, Prianka (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-07-04)
    Medical text summarization, particularly for consumer health queries, is a critical area of research due to its potential to enhance healthcare delivery. In the context of online consumer health questions, efficient ...
  • Breast Cancer Classification via Graph Convolutional Networks with Attention Mechanism Utilizing Multi-Omics Data and Feature Selection Methodology 
    Tahsin, Anika; Hasan, Suraiya; Akter, Syeda Maksuda (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-07-08)
    This study emphasizes the integration of clinical data, Copy Number Alteration (CNA), and gene expression data to present an impactful methodology for the classification of PAM-50 breast cancer subtypes. Since breast cancer ...
  • 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 ...
  • 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 ...
  • Anti FLippeR: Detection and Prevention of Label Flipping Attack by Local Evaluation in Federated Learning Environment 
    Rahman, Aashnan; Hasan, Abid; Arifin, Sherajul (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-07-24)
    Federated learning (FL) o ers a collaborative machine learning (ML) paradigm where participants train models on their local data and contribute updates to a central server, preserving data privacy. However, this distributed ...
  • Text Simplification Aided with Text Summarization 
    Dewa, Hamdja Bia; Gandega, Abubakar; Zouleiha, Mbouwap Njoya (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-07-08)
    Effective text simplification strategies are becoming more and more necessary in the constantly changing field of Natural Language Processing(NLP), especially to help audiences from a variety of backgrounds understand ...
  • 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 ...
  • 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 ...
  • Neural IR-based Approaches for Bangla Text Retrieval 
    Khan, Mohammed Sami; Sami, Khaja Abdus; Rafi, Prottoy (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-30)
    Information retrieval (IR) for Bangla text has received relatively little attention de spite the widespread global usage of the language. The rich morphology and lack of capitalization for Bangla presents challenges for ...
  • 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 ...

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