14 citations
4 papers
A Tumor Aware DenseNet Swin Hybrid Learning with Boosted and Hierarchical Feature Spaces for Large-Scale Brain MRI Classification
Muhammad Ali Shah, Muhammad Mansoor Alam, Saddam Hussain Khan
This study proposes an efficient Densely Swin Hybrid (EDSH) framework for brain tumor MRI analysis, designed to jointly capture fine grained texture patterns and long range context…
COVID-19 Infection Analysis Framework using Novel Boosted CNNs and Radiological Images
Saddam Hussain Khan
COVID-19 is a new pathogen that first appeared in the human population at the end of 2019, and it can lead to novel variants of pneumonia after infection. COVID-19 is a rapidly spr…
A New Deep Boosted CNN and Ensemble Learning based IoT Malware Detection
Saddam Hussain Khan, Wasi Ullah
Security issues are threatened in various types of networks, especially in the Internet of Things (IoT) environment that requires early detection. IoT is the network of real-time d…
Hybrid Method for Simulation of a Fractional COVID-19 Model with Real Case Application
Anwarud Din, Amir Khan, Anwar Zeb +3
In this research, we provide a mathematical analysis for the novel coronavirus responsible for COVID-19, which continues to be a big source of threat for humanity. Our fractional-o…