Item talk:Q167539

{

 "OpenAlex": {
   "display_name": "Particle Filtering and Nonlinear Estimation Methods",
   "description": "This cluster of papers focuses on particle filtering and nonlinear estimation methods, including Kalman filters, Monte Carlo methods, sensor fusion, sequential Monte Carlo, Gaussian filters, and Bayesian inference. The papers cover a wide range of applications such as state estimation, multitarget tracking, and sensor network management.",
   "keywords": [
     "Particle Filters",
     "Nonlinear Estimation",
     "Kalman Filters",
     "Monte Carlo Methods",
     "State Estimation",
     "Sensor Fusion",
     "Sequential Monte Carlo",
     "Gaussian Filters",
     "Multitarget Tracking",
     "Bayesian Inference"
   ],
   "ids": {
     "openalex": "https://openalex.org/T10711",
     "wikipedia": "https://en.wikipedia.org/wiki/Particle_filtering"
   },
   "subfield": {
     "id": "https://openalex.org/subfields/1702",
     "display_name": "Artificial Intelligence"
   },
   "field": {
     "id": "https://openalex.org/fields/17",
     "display_name": "Computer Science"
   },
   "domain": {
     "id": "https://openalex.org/domains/3",
     "display_name": "Physical Sciences"
   },
   "updated_date": "2024-08-12T05:32:35.638433",
   "created_date": "2024-01-23",
   "type": "topic",
   "oa_id": "T10711",
   "id": "https://openalex.org/T10711"
 }

}