ABSTRACT This study presents a polynomial‐based wind speed profile characterization framework that approximates full vertical profiles using five physically meaningful Chebyshev polynomial coefficients. The framework captures key morphological features of wind profiles, including mean wind speed, vertical shear, curvature, inflection‐related behavior ...
Harish Baki, Sukanta Basu
wiley +1 more source
Entropy-Based Evidence Functions for Testing Dilation Order via Cumulative Entropies. [PDF]
Alshehri MA.
europepmc +1 more source
Forecasting the Rate of Induced Seismicity as a Neural Temporal Point Process
Abstract Forecasting is an essential part of risk mitigation, where the mitigation efficacy depends strongly on the quality of forecasts. We explore the neural temporal point process as a deep learning framework to forecast induced earthquakes. We train our deep learning model using numerous enhanced geothermal systems and hydraulic fracturing test ...
Ryan Schultz, Stefan Wiemer
wiley +1 more source
Time-constant absolute effect measures for time-to-event outcomes. [PDF]
Kuss O, Hoyer A.
europepmc +1 more source
Algorithms and approximations for the modified Weibull model under censoring with application to the lifetimes of electrical appliances. [PDF]
Ramzan Q +4 more
europepmc +1 more source
Modelling dependent censoring in time-to-event data using boosting copula regression. [PDF]
Strömer A +3 more
europepmc +1 more source
Quantitative Prediction and Kinetic Modelling for the Thermal Inactivation of <i>Brochothrix thermosphacta</i> in Beef Using Hyperspectral Imaging. [PDF]
Li Q +7 more
europepmc +1 more source
An Approach to Design Adaptive Clinical Trials With Time-to-Event Outcomes Based on a General Bayesian Posterior Distribution. [PDF]
McGree JM +3 more
europepmc +1 more source
Cross Comparison Between Thermal Cycling and High Temperature Stress on I/O Connection Elements. [PDF]
Dhyani M +3 more
europepmc +1 more source

