Results 131 to 140 of about 1,143,792 (206)

AI-driven cybersecurity framework for anomaly detection in power systems. [PDF]

Sci Rep
V M V, M P SH, Satheesh R, Das V, Padmanaban S.   +4 more
europepmc   +1 more source

PathoRM: Computational inference of pathogenic RNA methylation sites by incorporating multi-view features. [PDF]

PLoS Comput Biol
Liu H, Ma J, Ma X, Zhang L.
europepmc   +1 more source

AI, Machine Learning & Deep Learning Risk Management & Controls: Beyond Deep Learning and Generative Adversarial Networks: Model Risk Management in AI, Machine Learning & Deep Learning

, 2018
Yogesh Malhotra
openalex   +1 more source

Collaborative penetration testing suite for emerging generative AI algorithms. [PDF]

Appl Intell (Dordr)
Radanliev P.
europepmc   +1 more source

Machine learning-based anomaly detection for smart home networks under adversarial attack

Juli Rejito, Deris Stiawan, Ahmed Alshaflut, Rahmat Budiarto   +3 more
openalex   +1 more source

Phishing detection on webpages in European non-English languages based on machine learning. [PDF]

Sci Rep
Komosny D.
europepmc   +1 more source

Quantum Machine Learning for Secure Financial Forecasting: Mitigating Data Breaches and Adversarial Exploits

Olufisayo Juliana Tiwo
openalex   +2 more sources

Integrating GAN-based machine learning with nonlinear Kalman filtering for enhanced state estimation. [PDF]

Sci Rep
Tobaly L, Yaniv E, Zalevsky Z.
europepmc   +1 more source

Ranking-enhanced anomaly detection using Active Learning-assisted Attention Adversarial Dual AutoEncoder. [PDF]

Sci Rep
Benabderrahmane S, Cheney J, Rahwan T.
europepmc   +1 more source

A Study on IoT Device Authentication Using Artificial Intelligence. [PDF]

Sensors (Basel)
Miri Kelaniki S, Komninos N.
europepmc   +1 more source