117 citations · 577 across the 22 of their papers we have counts for
22 papers
A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Data
Mst Shapna Akter, Hossain Shahriar, Alfredo Cuzzocrea
Social media cyberbullying has a detrimental effect on human life. As online social networking grows daily, the amount of hate speech also increases. Such terrible content can caus…
BlockTheFall: Wearable Device-based Fall Detection Framework Powered by Machine Learning and Blockchain for Elderly Care
Bilash Saha, Md Saiful Islam, Abm Kamrul Riad +3
Falls among the elderly are a major health concern, frequently resulting in serious injuries and a reduced quality of life. In this paper, we propose "BlockTheFall," a wearable dev…
Blockchain Technology in Higher Education Ecosystem: Unraveling the Good, Bad, and Ugly
Sharaban Tahora, Bilash Saha, Nazmus Sakib +2
The higher education management systems first identified and realized the trap of pitting innovation against privacy while first addressing COVID-19 social isolation challenges in…
Feature Engineering-Based Detection of Buffer Overflow Vulnerability in Source Code Using Neural Networks
Mst Shapna Akter, Hossain Shahriar, Juan Rodriguez Cardenas +2
One of the most significant challenges in the field of software code auditing is the presence of vulnerabilities in software source code. Every year, more and more software flaws a…
Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection
Mst Shapna Akter, Hossain Shahriar, Sheikh Iqbal Ahamed +6
Quantum machine learning (QML) is an emerging field of research that leverages quantum computing to improve the classical machine learning approach to solve complex real world prob…
Autism Disease Detection Using Transfer Learning Techniques: Performance Comparison Between Central Processing Unit vs Graphics Processing Unit Functions for Neural Networks
Mst Shapna Akter, Hossain Shahriar, Alfredo Cuzzocrea
Neural network approaches are machine learning methods that are widely used in various domains, such as healthcare and cybersecurity. Neural networks are especially renowned for th…