Neural progesterone receptors link ovulation and sexual receptivity in medaka

A research team led by Hiroshima University and Tokyo University of Agriculture and Technology have proposed a neuroendocrine mechanism in bony fish that signals ovulation from the ovaries to the ...
IEEE

Adaptive PID Control of UAV Variable-Pitch Propellers Based on Lightweight Neural Networks

Abstract: This paper proposes a novel lightweight neural network-PID composite control method to address the challenges of stability in millimeter-wave (mmWave) and terahertz (THz) wireless ...
Electronics360

Wind turbine control systems: From PID to reinforcement learning

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
IEEE

Adaptive PID Gain Scheduling Control for Hydropower Turbine Using Neural CDE and Stochastic Distribution Shaping

Abstract: This paper introduces a gain-scheduling PID controller design strategy for hydroturbine frequency control mode. This scheme first uses real data to learn the nonlinear dynamics of the ...
Automation World

AI In My PID Loops? It’s More Likely Than You’d Expect

Some wonder if AI will replace PID control loops. The reality is that, instead of replacing PID, AI is stepping in to help keep things running smoothly without upending regulatory trust. Think of AI ...
C&EN

Data-Driven Flow Control for Natural Gas Pipeline Networks: Optimizing via Anomaly Detection and Residual Weight Coefficients

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The natural gas pipeline network has a complex topology with variable flow directions, ...
Good e-Reader

How E-Reading Apps Use Neural Networks to Adapt Text to the Reader’s Level

E-reading apps have experienced a significant rise in popularity over the past several years, with individuals utilizing these platforms to enhance their educational, leisure, and language learning ...