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

66 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing cs.CVShow all

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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…

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…