1 citations · 2 across the 3 of their papers we have counts for
5 papers
BloodCell-Net: A lightweight convolutional neural network for the classification of all microscopic blood cell images of the human body
Sohag Kumar Mondal, Md. Simul Hasan Talukder, Mohammad Aljaidi +3
Blood cell classification and counting are vital for the diagnosis of various blood-related diseases, such as anemia, leukemia, and thrombocytopenia. The manual process of blood ce…
Enhancing Bangla Fake News Detection Using Bidirectional Gated Recurrent Units and Deep Learning Techniques
Utsha Roy, Mst. Sazia Tahosin, Md. Mahedi Hassan +6
The rise of fake news has made the need for effective detection methods, including in languages other than English, increasingly important. The study aims to address the challenges…
SugarcaneNet: An Optimized Ensemble of LASSO-Regularized Pre-trained Models for Accurate Disease Classification
Md. Simul Hasan Talukder, Sharmin Akter, Abdullah Hafez Nur +3
Sugarcane, a key crop for the world's sugar industry, is prone to several diseases that have a substantial negative influence on both its yield and quality. To effectively manage a…
Critical Analysis and Countermeasures Tactics, Techniques and Procedures (TTPs) that targeting civilians: A case study On Pegasus
Osama Hussien, Usman Butt, Rejwan Bin Sulaiman
Individuals, businesses, and governments all face additional difficulties because of the rise of sophisticated cyberattack attacks. This paper investigates the targeting of journal…
A review of SolarWinds attack on Orion platform using persistent threat agents and techniques for gaining unauthorized access
Antigoni Kruti, Usman Butt, Rejwan Bin Sulaiman
This paper of work examines the SolarWinds attack, designed on Orion Platform security incident. It analyses the persistent threats agents and potential technical attack techniques…