Causal discovery from temporal data: An overview and new perspectives
Temporal data, representing chronological observations of complex systems, has always
been a typical data structure that can be widely generated by many domains, such as …
been a typical data structure that can be widely generated by many domains, such as …
Testability of instrumental variables in linear non-Gaussian acyclic causal models
This paper investigates the problem of selecting instrumental variables relative to a target
causal influence X→ Y from observational data generated by linear non-Gaussian acyclic …
causal influence X→ Y from observational data generated by linear non-Gaussian acyclic …
Symbiotic Combination of a Bayesian Network and Fuzzy Logic to Quantify the QoS in a VANET: Application in Logistic 4.0
H Khalfaoui, A Azmani, A Farchane, S Safi - Computers, 2023 - mdpi.com
Intelligent transportation systems use new technologies to improve road safety. In them,
vehicles have been equipped with wireless communication systems called on-board units …
vehicles have been equipped with wireless communication systems called on-board units …
Knowledge-based and Expert Systems in Prognostics and Health Management: a Survey
K Bouhadra, F Forest - 2024 - infoscience.epfl.ch
ABSTRACT Prognostics and Health Management (PHM) has become increasingly popular
in recent years, and data-driven methods and artificial intelligence have emerged as …
in recent years, and data-driven methods and artificial intelligence have emerged as …
[PDF][PDF] Symbiotic Combination of a Bayesian Network and Fuzzy Logic to Quantify the QoS in a VANET: Application in Logistic 4.0. Computers 2023, 12, 40
H Khalfaoui, A Azmani, A Farchane, S Safi - 2023 - academia.edu
Intelligent transportation systems use new technologies to improve road safety. In them,
vehicles have been equipped with wireless communication systems called on-board units …
vehicles have been equipped with wireless communication systems called on-board units …