Results 121 to 130 of about 65,893 (254)

Modeling the Friction Behavior of Low-Carbon Steel Sheets Using Various Machine Learning Algorithms Based on Strip Drawing Test Data. [PDF]

Materials (Basel)
Trzepieciński T.
europepmc   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

Approximation of Anisotropic Pair Potentials Using Multivariate Interpolation. [PDF]

J Phys Chem B
Fakhraei M, Kieslich CA, Howard MP.
europepmc   +1 more source

Integrative genomic and spatial transcriptomic analysis elucidates the oligodendrocyte‐mediated etiology of epileptic cortical thinning

Epilepsia Open, EarlyView.
Abstract Objective Focal epilepsy is characterized by progressive cortical thinning, particularly within limbic structures; however, whether this atrophy reflects acquired seizure‐induced damage or shared genetic predisposition remains unresolved. Methods We integrated genome‐wide association study (GWAS) summary statistics from the ILAE Consortium ...
Dingyuan Zhang, Qianqian Zhang, Guangming Li, Lingting Yu, Yanling Ma, Xiaoli Hong, Yujie Kui, Shanshan Cai, Jianguang Sun, Zechao Zhu   +9 more
wiley   +1 more source

Convergence analysis and application for high-order neural networks based on gradient descent learning algorithm via smooth regularization. [PDF]

Sci Rep
Mohamed KS, Adam A, Mohammed YS, Xiong Y.   +3 more
europepmc   +1 more source

Covariance Structure Modeling of Engineering Demand Parameters in Cloud‐Based Seismic Analysis

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Probabilistic seismic demand modeling aims to estimate structural demand as a function of ground motion intensity—a critical stage in seismic risk assessment. Although many models exist to describe the structural demand, few consider the covariance among engineering demand parameters, potentially overlooking a key factor in improving the ...
Archie Rudman, Enrico Tubaldi, Roberto Gentile, John Douglas   +3 more
wiley   +1 more source

A hierarchical Bayesian inference model for volatile multivariate exponentially distributed signals. [PDF]

Front Comput Neurosci
Zhu C, Zhou K, Tang F, Tang Y, Li X, Si B.   +5 more
europepmc   +1 more source

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini, Shaghayegh Karimzadeh, Paulo B. Lourenço   +2 more
wiley   +1 more source

Reliable uncertainty estimates in deep learning with efficient Metropolis-Hastings algorithms. [PDF]

Nat Commun
Schmal M, Mäder P.
europepmc   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source