Results 131 to 140 of about 66,291 (256)

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

Radon-Guided Wavelet-Domain Attention U-Net for Periodic Artifact Suppression in Brain MRI. [PDF]

J Imaging
Rios-Perez JD, Sanchez-Torres G, Sanchez-Torres G, Branch-Bedoya JW, Laiton-Bonadiez CA.   +4 more
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

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

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

Fast sleep spindles as a potential prognostic marker of developmental outcome in infantile epileptic spasms syndrome

Epilepsia Open, EarlyView.
Abstract Objective The presence or absence of sleep spindles in patients with infantile epileptic spasms syndrome (IESS) has been proposed as a potential predictor of cognitive outcome; however, the validity of this predictor remains uncertain.
Kento Ohta, Thomas Reuben, Tohru Okanishi, Go Yoshino, Tatsuo Hosoda, Kentaro Okada, Yoshihiro Maegaki   +6 more
wiley   +1 more source

Kolmogorov-Arnold Networks for Sensor Data Processing: A Comprehensive Survey of Architectures, Applications, and Open Challenges. [PDF]

Sensors (Basel)
Martínez-Heredia AM, Ortiz A.
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

Limitations of Variational Laplace-Based Dynamic Causal Modelling for Multistable Cortical Circuits. [PDF]

Neuroinformatics
Asadpour A, Azimi A, Wong-Lin K.
europepmc   +1 more source

Identifying Faults in Power Transformers Based on Machine‐Learning Algorithms Compared With Other Techniques

Energy Science &Engineering, EarlyView.
General framework of ensemble learning technique for transformer fault diagnostics compared with traditional dissolved gas analysis methods. ABSTRACT This paper implemented a comprehensive variety of modern machine‐learning techniques, which were demonstrated to be effective in handling complex tabular data, generating accurate predictions, and ...
Osama E. Gouda, Nourhan Ramadan, Matti Lehtonen, Mohamed M. F. Darwish   +3 more
wiley   +1 more source

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