IEEE

A CUDA-Accelerated Hybrid CNN-DNN Approach for Multi-Class Malware Detection in IoT Networks

Abstract: The Internet of Things (IoT) ecosystem has attracted widespread attention worldwide because of its profound commercial, economic, and social impact on the daily lives of human beings.
IEEE

EfficientSTNet: A Deep Learning Approach for Multi-Class DDoS Detection

Abstract: DDoS attacks are highly destructive, capable of targeting multiple devices simultaneously and posing significant threats to network systems. Therefore, it is increasingly essential to ...
AFCEA

Robotics Researchers Take a Groundbreaking Approach to Land Mine Detection

Leaving behind a decades-long legacy of threats to life, land mines continue to be used across conflict zones and surrounding areas. Globally, the challenge remains immense. A 2024 NATO report notes ...
Frontiers

Automated predictive framework using AI and deep learning approaches for early detection and classification of liver cancer

1 Department of General Surgery, Shangyu People’s Hospital of Shaoxing, Shaoxing, Zhejiang, China 2 Center of Gallbladder Disease, Shanghai East Hospital, Institute of Gallstone Disease, School of ...