Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction

MA Talukder, MM Islam, MA Uddin, KF Hasan… - Journal of big …, 2024 - Springer
Cybersecurity has emerged as a critical global concern. Intrusion Detection Systems (IDS)
play a critical role in protecting interconnected networks by detecting malicious actors and …

[HTML][HTML] A deep learning model for cotton disease prediction using fine-tuning with smart web application in agriculture

MM Islam, MA Talukder, MRA Sarker, MA Uddin… - Intelligent Systems with …, 2023 - Elsevier
Cotton is known as 'white gold'in the agricultural industry. Agriculture is the primary source of
economic income in Bangladesh and the country's economy is heavily dependent on …

A robust and clinically applicable deep learning model for early detection of Alzheimer's

MM Rana, MM Islam, MA Talukder… - IET Image …, 2023 - Wiley Online Library
Alzheimer's disease, often known as dementia, is a severe neurodegenerative disorder that
causes irreversible memory loss by destroying brain cells. People die because there is no …

BrainNet: Precision Brain Tumor Classification with Optimized EfficientNet Architecture

MM Islam, MA Talukder, MA Uddin… - … Journal of Intelligent …, 2024 - Wiley Online Library
Brain tumors significantly impact human health due to their complexity and the challenges in
early detection and treatment. Accurate diagnosis is crucial for effective intervention, but …

[HTML][HTML] An ensemble machine learning based bank loan approval predictions system with a smart application

N Uddin, MKU Ahamed, MA Uddin, MM Islam… - International Journal of …, 2023 - Elsevier
Banks rely heavily on loans as a primary source of revenue; however, distinguishing
deserving applicants who will reliably repay loans presents an ongoing challenge …

ProTect: a hybrid deep learning model for proactive detection of cyberbullying on social media

T Nitya Harshitha, M Prabu, E Suganya… - Frontiers in artificial …, 2024 - frontiersin.org
The emergence of social media has given rise to a variety of networking and communication
opportunities, as well as the well-known issue of cyberbullying, which is continuously on the …

Cyberbullying Text Identification based on Deep Learning and Transformer-based Language Models

K Saifullah, MI Khan, S Jamal… - … Transactions on Industrial …, 2024 - publications.eai.eu
In the contemporary digital age, social media platforms like Facebook, Twitter, and YouTube
serve as vital channels for individuals to express ideas and connect with others. Despite …

Analyzing Sentiments in eLearning: A Comparative Study of Bangla and Romanized Bangla Text using Transformers

MA Rahman, M Begum, T Mahmud, MS Hossain… - IEEE …, 2024 - ieeexplore.ieee.org
In the modern world, learning is becoming increasingly critical due to rapid technological
breakthroughs, which highlight the need for continuous skill development in both the …

A survey and comparative study on negative sentiment analysis in social media data

J Paul, A Das Chatterjee, D Misra, S Majumder… - Multimedia Tools and …, 2024 - Springer
With the rapid growth of internet usage, especially on social media, forums, review platforms,
and blogs, an enormous amount of data is being generated. This data often contains users' …

[HTML][HTML] Social media cyberbullying detection on political violence from Bangla texts using machine learning algorithm

MT Ahmed, AH Antar, M Rahman, AZMT Islam… - Journal of Intelligent …, 2023 - scirp.org
When someone threatens or humiliates another person online by sending those unpleasant
messages or comments, this is known as Cyberbullying. Recently, Bangla text has been …