Results 231 to 240 of about 4,649,569 (285)

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Personalized and differentially private federated learning for mobility data mining via the TrajectoryGuard framework. [PDF]

PLoS One
Alqazzaz A.
europepmc   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Thermoacoustic wave propagation in hydrodynamic poroelastic media with temperature-dependent thermal conductivity. [PDF]

Sci Rep
Alshehri AM, Lotfy K.
europepmc   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Initial stress effects on fractional thermoelastic wave propagation in semiconductor media under three thermoelasticity theories. [PDF]

Sci Prog
Ramadan ME, Ahmed HM, Radwan T, Yildirim Y, Elsadek H, Ismail MF.   +5 more
europepmc   +1 more source

Advanced semi-analytical techniques for fractional shallow water wave models through the analogical structure of generalized ϕ-Caputo derivative operators. [PDF]

Sci Rep
Damag FH, Saad KM, Alshammari M, Saif A, Alsharafi MS, Zeren Y.   +5 more
europepmc   +1 more source

Tutorial Review of N-Path Filters and Their Time-Domain Interpretation. [PDF]

Micromachines (Basel)
Feng X, Lin D, Zhao Y, Xiong J, Liu W, Zhong Y, Zhuo C, Yin Y.   +7 more
europepmc   +1 more source

Intelligent prediction of thermodynamic performance in MHD Oldroyd B trihybrid nanofluids using artificial neural networks. [PDF]

Discov Nano
Aamir M, Maatki C, Abbasi AZ, Alsayegh R, Kriaa K, Hassen W, Kolsi L.   +6 more
europepmc   +1 more source