Undergraduate: Recent submissions

  • 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 ...
  • A CNN-based Pipeline using Plane-wise Ensemble Technique for Classifying Alzheimer’s Disease from 3D MRI Images 
    Fardin, Mahtab Nur; Rafio, Md. Irfanur Rahman; Islam, Md. Jubayer (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-08-30)
    Alzheimer’s disease (AD) is a chronic neurodegenerative condition that progressively damages brain cells, resulting in memory and cognitive decline and eventually imped ing basic functionalities. With over 55 million ...
  • Bangla NER using Few-Shot Learning 
    Ferdous, Zannatul; Khandker, Nabliha; Chowdhury, Farzana (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-07-04)
    Named Entity Recognition (NER) is a critical task in Natural Language Pro- cessing (NLP) for low-resource languages like Bengali. This paper explores few-shot learning for Bengali NER using ProtoBERT, NN-SHOT, and ...
  • Analyzing and Advancing Unpaired PET to CT Image Translation: Improvements through Enhanced CycleGAN and CUT 
    Saikat, Tanvir Hossain; Drubo, Arafat Bin Amin; Arko, Najmus Sakib (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-07-05)
    Medical imaging plays a crucial role in healthcare, with PET and CT scans providing complementary information about metabolic activity and detailed anatomical structures, respectively. However, the reliance on paired PET-CT ...
  • 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 ...
  • 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 ...
  • Bangla Sign Language Generation From Videos 
    Sameen, Ahmed Shadab; Soiree, Sumaya Sanjana; Shahriar, Sajid (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-09-04)
    Sign language serves as a crucial communication tool for the Deaf community, representing a fully developed linguistic system. As research into sign language via deep learning expands, the need for an efficient and ...
  • 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 ...
  • Hybrid Deep Learning Model for Bispectral Index Estimation using EEG Signal 
    Ibrahim, Md. Shoaib Shahriar; Chowdhury, Majidul Islam; Rahman, Md. Ashikur (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-07-04)
    Electroencephalography (EEG) plays a crucial role as a neurophysiological tool in anesthesia, offering invaluable insights into brain activity and responses during surgical procedures. Key to this role is the Bispectral ...
  • Exploratory Analysis of Developer Sentiment On Open Source Projects 
    Siam, Md. Kawsar Ahamed; Rahman, Mahmudur; Hassan, Moudud (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-09-17)
    Issue-tracking platforms such as Jira and Bugzilla have become essential in large- scale software development. Prominent organizations in the Open Source Software (OSS) landscape, such as Apache and Mozilla, make heavy ...
  • 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 ...
  • Analysis on LLMs Performance for Code Summarization 
    Ahsan, Salman; Mazumder, Md. Muktadir; Akib, Md. Ahnaf (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-07-08)
    The goal of code summarizing is to produce concise source code descriptions in natural language. Deep learning has been used more and more recently in software engineering, particularly for tasks like code creation and ...

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