Results 121 to 130 of about 15,427 (184)
Article Application of neural network in metal adsorption using biomaterials (BMs): a review. [PDF]
Nighojkar A +7 more
europepmc +1 more source
ABSTRACT Purpose This work proposes a method for the simultaneous estimation of the exchange‐dependent relaxation rate Rex$$ {R}_{ex} $$ and the longitudinal relaxation time T1$$ {T}_1 $$ from a single acquisition. Methods A novel acquisition scheme was developed that combines CEST saturation with an inversion pulse and a Look‐Locker readout to capture
Markus Huemer +6 more
wiley +1 more source
A New Unit‐Lindley Mixed‐Effects Model With an Application to Electricity Access Data
ABSTRACT This paper introduces a novel unit‐Lindley mixed‐effects model (NULMM) within the generalized linear mixed model (GLMM) framework, designed for analyzing correlated response variables bounded within the unit interval. Parameter estimation was conducted via maximum likelihood, using Laplace approximation and adaptive Gaussian‐ Hermite ...
Nirajan Bam +2 more
wiley +1 more source
Physics‐Based Machine Learning for Modeling Cyclic Damage Evolution
ABSTRACT Accurate modeling of cyclic damage evolution is essential for predicting the long‐term performance and durability of engineering materials and structures. Traditional simulation‐based approaches, while physically rigorous, are computationally expensive, especially under complex loading histories.
Elsayed S. Elsayed +2 more
wiley +1 more source
Generation of models from existing models composition: An application to agrarian sciences. [PDF]
Dos Santos ALP +10 more
europepmc +1 more source
Methods Based on Polynomial Chaos for Quadratic Delay Differential Equations With Random Parameters
ABSTRACT We consider systems of delay differential equations (DDEs), including a single delay and a quadratic right‐hand side. In a system, parameters are replaced by random variables to perform an uncertainty quantification. Thus the solution of the DDEs becomes a random process, which can be represented by a series of the generalised polynomial chaos.
Roland Pulch
wiley +1 more source
ABSTRACT This paper presents the development and validation of a scalable platooning system based on the predecessor‐following (PF) topology, designed for low‐cost follower platforms. It integrates key technologies such as localization, path planning, profile generation, and low‐level control to create a practical solution.
Dongwoo Seo, Jinhee Lee, Jaeyoung Kang
wiley +1 more source
<i>GW</i> Plus Cumulant Approach for Predicting Core-Level Shakeup Satellites in Large Molecules. [PDF]
Kockläuner J, Golze D.
europepmc +1 more source
A Generalization Error Bound of Physics‐Informed Neural Networks for Ecological Diffusion Models
ABSTRACT Ecological diffusion equations (EDEs) are partial differential equations (PDEs) that model spatiotemporal dynamics, often applied to wildlife diseases. Derived from ecological mechanisms, EDEs are useful for forecasting, inference, and decision‐making, such as guiding surveillance strategies for wildlife diseases.
Juan Francisco Mandujano Reyes +4 more
wiley +1 more source
From Quantum Curves to Topological String Partition Functions II. [PDF]
Coman I, Longhi P, Teschner J.
europepmc +1 more source

