Browsing 2024 by Title

Browsing 2024 by Title

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  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...

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