Published in International Conference on Advanced Information Networking and Applications, 2025
This paper presents a theoretical analysis of a blockchain-based Intrusion Detection System (IDS) designed to improve cybersecurity through decentralized threat intelligence sharing.
Published in AI 2022: Advances in Artificial Intelligence, 2022
This book chapter explores multiclass classification for predicting GvHD prognosis prior to allogeneic stem cell transplantation.
Published in 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), 2024
This research aims to diminish dataset size, in harmony with the integration capabilities of the Semantic and Flexible Open Radio Access Network (SEM-O-RAN) framework, which is anticipated to reduce latency and refine resource allocation in vehicle image processing.
Published in 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring), 2024
This study proposes a Bangla Speech Emotion Recognition framework using data augmentation, feature extraction, and a Deep Neural Network, achieving 99% accuracy on unseen data.
Published in 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring), 2024
This study introduces a system translating sign languages using deep learning models (CNN, VGG16, ResNet) for seamless communication, achieving 99.98% accuracy with Bangla and ASL datasets.
Published in 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall), 2023
This paper reduces satellite image pixel size using interpolation techniques and evaluates Deep Learning models for efficient classification and transmission.
Published in IEEE EUROCON 2023 - 20th International Conference on Smart Technologies, 2023
In this study, we explore the performance of advanced NLP techniques in Bengali text classification tasks, specifically sentiment analysis and aspect detection.
Published in 25th International Conference on Computer and Information Technology (ICCIT), 2022
In this study, a multiclass target feature is created to predict potential GvHD and relapse pairings using only three and six crucial attributes from the original dataset, and a comparative analysis is performed between them.
Published in 25th International Conference on Computer and Information Technology (ICCIT), 2022
The main objective of our paper is to predict different types of attacks, such as successful suicide attacks, successful non-suicide attacks, unsuccessful suicide attacks, and unsuccessful non-suicide attacks.
