output
20212026
most citedA Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron

66 citations

7 papers

cs.CV2026

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…

eess.IV2023★ 1 cited

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…

cs.CV2023★ 5 cited

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…

eess.IV2022★ 66 cited

A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron

Asifullah Khan, Saddam Hussain Khan, Mahrukh Saif +3

The Coronavirus (COVID-19) outbreak in December 2019 has become an ongoing threat to humans worldwide, creating a health crisis that infected millions of lives, as well as devastat…

cs.RO2022★ 31 cited

Autonomous Drone Swarm Navigation and Multi-target Tracking in 3D Environments with Dynamic Obstacles

Suleman Qamar, Saddam Hussain Khan, Muhammad Arif Arshad +2

Autonomous modeling of artificial swarms is necessary because manual creation is a time intensive and complicated procedure which makes it impractical. An autonomous approach emplo…

math.DS2021★ 14 cited

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…

physics.optics2021★ 1 cited

Plasmonic band and defect mode of one dimensional graphene lattice

Yun-Cheng Zhou, Xiaodong Zeng, Rafi Ud Din +2

Photonic crystals based on graphene plasmons (GPs) are highly tunable and can accurately control photonic transmission at the nanoscales. In this work, the transfer matrix method (…