ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2108.02005
  4. Cited By
A purely data-driven framework for prediction, optimization, and control
  of networked processes: application to networked SIS epidemic model

A purely data-driven framework for prediction, optimization, and control of networked processes: application to networked SIS epidemic model

1 August 2021
A. Tavasoli
T. Henry
Heman Shakeri
ArXivPDFHTML

Papers citing "A purely data-driven framework for prediction, optimization, and control of networked processes: application to networked SIS epidemic model"

1 / 1 papers shown
Title
Time-lagged autoencoders: Deep learning of slow collective variables for
  molecular kinetics
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics
C. Wehmeyer
Frank Noé
AI4CE
BDL
109
355
0
30 Oct 2017
1