IEEE

Adaptive Fuzzy Consensus Tracking Using Monotone Tube Boundary Functions for Nonlinear MASs Under FDI Attacks: A Single-Parameter Integration Approach

Abstract: This article principally presents the adaptive fuzzy dynamic event-triggered output-feedback consensus tracking control problem for constrained nonlinear multiagent systems encountering ...
GitHub

Hansen Solubility Parameters in Python.

HSPiPy is a Python library designed for calculating and visualizing Hansen Solubility Parameters (HSP). It provides machine-learning–friendly estimators, convenient data import, and plotting tools for ...
InfoWorld

Django tutorial: Get started with Django 6

Get up and running with routes, views, and templates in Python’s most popular web framework, including new features found ...
GitHub

Pyvisco is a Python library that supports the identification of Prony series parameters for Generalized Maxwell models describing linear viscoelastic materials.

The mechanical response of linear viscoelastic materials is often described with Generalized Maxwell models. The necessary material model parameters are typically identified by fitting a Prony series ...
SCOTUSblog

The long and short of Supreme Court oral arguments

Empirical SCOTUS is a recurring series by Adam Feldman that looks at Supreme Court data, primarily in the form of opinions and oral arguments, to provide insights into the justices’ decision making ...
IEEE

Inferring Cost Functions Using Reward Parameter Search and Policy Gradient Reinforcement Learning

Abstract: This study focuses on inferring cost functions of obtained movement data using reward parameter search and pol-icy gradient based Reinforcement Learning (RL). The behavior data for this task ...