PUBLICACIÓN

Improving Safety Awareness Campaigns Through the Use of Graph Neural Networks

ACCEDER A LA PUBLICACIÓN: Orcid

Jose D. Hernández Guillén, Angel Martín del Rey

2025

DOI

10.3390/axioms14050328

AUTORES DE LA UEX

Jose Diamantino Hernández Guillén

OTRAS PUBLICACIONES DE INTERÉS

Higher-Order Nonstandard Finite Difference Schemes For A Mseir Model For A Malware Propagation
Intelligent Malware Propagation: An Approach Based On Data Previously Known By The Malware
Improving Safety Awareness Campaigns Through The Use Of Graph Neural Networks
Intelligent Malware Propagation: An Approach Based On Data Previously Known By The Malware
Improving Safety Awareness Campaigns Through The Use Of Graph Neural Networks
Simulating Malware Propagation With Different Infection Rates
Improving Safety Awareness Campaigns Through The Use Of Graph Neural Networks
Simulating Malware Propagation With Different Infection Rates
Propagation Of The Malware Used In Apts Based On Dynamic Bayesian Networks
Simulating Malware Propagation With Different Infection Rates
Propagation Of The Malware Used In Apts Based On Dynamic Bayesian Networks
A Mathematical Model For Malware Spread On Wsns With Population Dynamics
Propagation Of The Malware Used In Apts Based On Dynamic Bayesian Networks
A Mathematical Model For Malware Spread On Wsns With Population Dynamics
Security Countermeasures Of A Sciras Model For Advanced Malware Propagation
A Mathematical Model For Malware Spread On Wsns With Population Dynamics
Security Countermeasures Of A Sciras Model For Advanced Malware Propagation
Study Of The Malware Scirs Model With Different Incidence Rates
Security Countermeasures Of A Sciras Model For Advanced Malware Propagation
Study Of The Malware Scirs Model With Different Incidence Rates
Variable Step Length Algorithms With High-Order Extrapolated Non-Standard Finite Difference Schemes For A Seir Model
Study Of The Malware Scirs Model With Different Incidence Rates
Variable Step Length Algorithms With High-Order Extrapolated Non-Standard Finite Difference Schemes For A Seir Model
New Approaches Of Epidemic Models To Simulate Malware Propagation
Variable Step Length Algorithms With High-Order Extrapolated Non-Standard Finite Difference Schemes For A Seir Model
New Approaches Of Epidemic Models To Simulate Malware Propagation
Modeling Malware Propagation Using A Carrier Compartment
New Approaches Of Epidemic Models To Simulate Malware Propagation
Modeling Malware Propagation Using A Carrier Compartment
Study Of The Stability Of A Seirs Model For Computer Worm Propagation
Modeling Malware Propagation Using A Carrier Compartment
Study Of The Stability Of A Seirs Model For Computer Worm Propagation
Higher-Order Nonstandard Finite Difference Schemes For A Mseir Model For A Malware Propagation
Study Of The Stability Of A Seirs Model For Computer Worm Propagation
Higher-Order Nonstandard Finite Difference Schemes For A Mseir Model For A Malware Propagation
Intelligent Malware Propagation: An Approach Based On Data Previously Known By The Malware
WEB ACCESIBLE