IEEE

Adaptive Output Feedback Control Using Lyapunov-Based Deep Recurrent Neural Networks (Lb-DRNNs)

Abstract: Unlike traditional feedforward neural networks, recurrent neural networks (RNNs) possess a recurrent connection that allows them to retain past information. This internal memory enables RNNs ...
IEEE

Kinematic Recurrent Neural Network–Based Hybrid Calibration for Serial Manipulators

Abstract: This paper proposes a hybrid kinematic calibration framework for serial robotic manipulators that integrates analytical parameter identification with data-driven residual learning. First, ...
GitHub

This repo describes python code and input data files for "Forecasting stock return distributions around the globe with quantile neural networks".

Inputs: describes all the raw inputs to run the code Code description: describes the python code and how to run it Code to figure mapping: provides mapping of figures in the paper to code used to ...
techxplore

Simple motor networks mimic human muscle behavior under increasing load

Scientists have developed a network of mechanical motors that mimic the molecular machinery underpinning human muscle contraction. The University of Bristol-led findings, published in the Journal of ...
GitHub

Configure Panorama Address Objects

A CLI tool that creates IP-netmask address objects on Palo Alto Networks Panorama using the pan-os-python SDK. Address objects are defined in YAML configuration files organized by device group, ...