AIMC Topic: Warfare

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Spatio-Temporal SIR Model of Pandemic Spread During Warfare with Optimal Dual-use Health Care System Administration using Deep Reinforcement Learning.

Disaster medicine and public health preparedness
OBJECTIVES: Large-scale crises, including wars and pandemics, have repeatedly shaped human history, and their simultaneous occurrence presents profound challenges to societies. Understanding the dynamics of epidemic spread during warfare is essential...

Robust SAR Automatic Target Recognition Based on Transferred MS-CNN with L-Regularization.

Computational intelligence and neuroscience
Though Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) via Convolutional Neural Networks (CNNs) has made huge progress toward deep learning, some key issues still remain unsolved due to the lack of sufficient samples and robust mode...

The Co-Pilot Project in wartime: lessons from Lviv, Ukraine.

Neurosurgical focus
OBJECTIVE: The ongoing war in Ukraine has introduced many challenges to an already overburdened and resource-limited medical system. Longitudinal collaborations, material support, educational outreach, and surgical mentorship are essential for improv...

Telesurgery With Miniature Robots to Leverage Surgical Expertise in Distributed Expeditionary Environments.

Military medicine
UNLABELLED: This study aimed to evaluate the capability of performing telesurgery via radio transmission for military arenas where wired internet connections may not be practical. Most existing robotic surgery systems are too large to effectively dep...