Markov Chains : The Strange Math That Predicts Almost Anything

Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...
IEEE

Advancing Dynamic Output Feedback Switched Model Predictive Control for Discrete-Time Markov Jump Systems

Abstract: This study proposes a novel dynamic output-feedback (DOF) switched model predictive control strategy to robustly enhance the control performance of discrete-time Markov jump systems (MJS).
IEEE

Brain-Inspired Visual Topometric Localization via Roadnetwork-Constraint Hidden Markov Model

Abstract: Accurate localization in GPS-denied environments remains a critical challenge for autonomous robot navigation. Animals exhibit remarkable navigational abilities in complex, dynamic ...
GitHub

WGAST: Weakly-Supervised Generative Network for Daily 10 m Land Surface Temperature Estimation via Spatio-Temporal Fusion

WGAST (Weakly-Supervised Generative Network for Daily 10 m Land Surface Temperature Estimation via Spatio-Temporal Fusion) is a novel deep learning framework for spatio-temporal fusion of satellite ...
GitHub

GEARS: Predicting transcriptional outcomes of novel multi-gene perturbations

This repository hosts the official implementation of GEARS, a method that can predict transcriptional response to both single and multi-gene perturbations using single-cell RNA-sequencing data from ...