IEEE

Multi-Sensor Model for Earth Observation Robust to Missing Data via Sensor Dropout and Mutual Distillation

Abstract: Multi-sensor data has become a foundation of Earth Observation (EO) research, offering models with enhanced accuracy via optimal fusion strategies. However, the unavailability of sensor data ...
GitHub

Nonlinear Model-Predictive Control Using Koopman Operator

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...
IEEE

Model-Free Predictive Frequency Control Under Sensor and Actuator FDI Attacks

Abstract: This brief investigates the load frequency control (LFC) issue of an interconnected power system under sensor and actuator false data injection (FDI) attacks. To this end, a novel model-free ...
GitHub

SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model

An overview of our SingularTrajectory framework. All models were trained and tested on Ubuntu 20.04 with Python 3.8 and PyTorch 2.0.1 with CUDA 11.7. To train our SingularTrajectory on each task using ...
Ars Technica

Requesting your help with electronics and Arduino for my model railroad.

I'm trying to get block detection working on my HO scale model railroad. I found this page and liked the idea of using current transformers to detect the Digital Command Control signal inducing ...