Results 111 to 120 of about 114,994 (174)

Federated reinforcement learning-driven multi-task optimization for robust and ethical edge internet of things security. [PDF]

Sci Rep
Li Y, Wang H, Xu G.
europepmc   +1 more source

Hybrid MLOps framework for automated lifecycle management of adaptive phishing detection models. [PDF]

Sci Rep
Reda A, Taie SA, Shaheen ME.
europepmc   +1 more source

Securing IoT Vision Systems: An Unsupervised Framework for Adversarial Example Detection Integrating Spatial Prototypes and Multidimensional Statistics. [PDF]

Sensors (Basel)
Wang N, Li J, Zhang C, Zhang D.
europepmc   +1 more source

Physics-Aware Spatiotemporal Consistency for Transferable Defense of Autonomous Driving Perception. [PDF]

Sensors (Basel)
Liu Y, Nie Z, Yu T, Chen M, Yao Z, Lu J, Peng L, Fan F.   +7 more
europepmc   +1 more source

REALIZATION OF THE ADVERSARIAL PRINCIPLE AT THE STAGE OF PRELIMINARY INVESTIGATION [PDF]

Vestnik Tomskogo gosudarstvennogo universiteta. Pravo, 2016
openaire   +1 more source

Entropy Method for Decision Making with Uncertainty. [PDF]

Entropy (Basel)
Przybyła-Kasperek M.
europepmc   +1 more source

Conditional generative adversarial network technology for OFDM system receiver signal detection. [PDF]

PLoS One
Liu Y, Liu P, Shi Y, Hao X.
europepmc   +1 more source

Comprehensive analysis of security threats and privacy issues in indoor localization systems. [PDF]

Sci Rep
Ayub A, Abidin ZZ, Alhammadi A, Khan MA, Soliman NF, Ghazali NB, Algarni AD.   +6 more
europepmc   +1 more source

Heterogeneous catalyst design by generative adversarial network and first-principles based microkinetics

Heterogeneous catalyst design by generative adversarial network and first-principles based microkinetics
AbstractMicrokinetic analysis based on density functional theory (DFT) was combined with a generative adversarial network (GAN) to enable the artificial proposal of heterogeneous catalysts based on the DFT-calculated dataset. The approach was applied to the NH3 formation reaction on Rh−Ru alloy surfaces as an example.
openaire  

Confounder-Invariant Representation Learning (CIRL) for Robust Olfaction with Scarce Aroma Sensor Data: Mitigating Humidity Effects in Breath Analysis. [PDF]

Sensors (Basel)
Rahman MH, Hooper JK, Wardeh A, Masilamani AP, Yockell-Lelièvre H, Ozhi Kandathil J, Khomami Abadi M.   +6 more
europepmc   +1 more source