eLife

Compressed sensing-based approach identifies modular neural circuitry driving learned pathogen avoidance

An efficient neural screening approach rapidly identifies circuit modules governing distinct behavioral transitions in response to pathogen exposure.
United States Army

4ID successfully tests new technology to triage and evacuate Soldiers in simulated LSCO environment

Fort Carson, Colo. – The 4th Infantry Division tested advanced wearable sensors and end-user software during Ivy Sting IV, demonstrating how real-time ...

ICE and CBP’s Face-Recognition App Can’t Actually Verify Who People Are

ICE has used Mobile Fortify to identify immigrants and citizens alike over 100,000 times, by one estimate. It wasn't built to ...
IEEE

Ensemble Bidirectional Long Short-Term Memory Network Identification for Nonlinear Autoregressive Exogenous Model: Application to Dual Double-Acting Piston Pump

Abstract: System identification is essential for modeling and control of nonlinear dynamic systems. In practice, traditional linear or unidirectional recurrent models often fail to capture the ...
IEEE

Research on Parameter Identification Method for LuGre Friction Model in Permanent Magnet Synchronous Motor Servo Systems

Abstract: To address the insufficient identification accuracy of LuGre friction parameters in permanent-magnet synchronous servo systems, an Adaptive Weight-Inertia Particle Swarm Optimization ...