Abstract: This research is a research continuation in the PID controller development and modernization field based on neural networks. Through the pseudo-linear component with amplitude suppression ...
Spiking neural networks (SNNs) are artificial intelligence (AI) models inspired by how biological neurons communicate with ...
Controlling soft robots is challenging due to their complex, nonlinear dynamics. We show that a bio-inspired reservoir computing approach enables the control of a simulated musculoskeletal bio-hybrid ...
Alcohol use disorder (AUD) is a chronic, relapsing condition marked by compulsive drinking, imposing a significant burden on both the individual and their environment. The intrinsic neural timescale ...
Wind turbine control systems have evolved significantly over the past decades, moving from simple classical controllers to sophisticated artificial intelligence-based strategies. Early utility-scale ...
Abstract: This document introduces a variation PID control scheme with adaptive compensation using neural networks, designed for trajectory tracking in manipulators with uncertain dynamics. While ...
This study aimed to investigate the differences in eye movement characteristics between first reading and rereading and to develop a neural network model for classifying these reading practices. The ...
A new study shows access to birth control has increased following the FDA's approval of an over-the-counter birth control pill. In the two years since the pill went on the market, there's a 31.8% ...
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