Results 221 to 230 of about 37,859 (302)

AMGST: Adaptive multi-graph convolution and spatiotemporal attention network for traffic forecasting. [PDF]

PLoS One
Shi P, Lu Q, Chen J, Lv X, Zhang L, Kuang L, Sun J.   +6 more
europepmc   +1 more source

Analytical and Numerical Soliton Solutions of the Shynaray II‐A Equation Using the G′G,1G$$ \left(\frac{G^{\prime }}{G},\frac{1}{G}\right) $$‐Expansion Method and Regularization‐Based Neural Networks

Mathematical Methods in the Applied Sciences, Volume 49, Issue 9, Page 9814-9831, June 2026.
ABSTRACT Nonlinear differential equations play a fundamental role in modeling complex physical phenomena across solid‐state physics, hydrodynamics, plasma physics, nonlinear optics, and biological systems. This study focuses on the Shynaray II‐A equation, a relatively less‐explored parametric nonlinear partial differential equation that describes ...
Aamir Farooq, H. W. A. Riaz, Sadique Rehman, M. Mamun Miah, Wen Xiu Ma   +4 more
wiley   +1 more source

DC bias optimization in intelligent DCO-OFDM Li-Fi systems using hybrid machine learning with hardware validation. [PDF]

Sci Rep
Abdelhakim E, Ragab DA, Abaza M, Moharam MH.   +3 more
europepmc   +1 more source

A Comparative Study of Context‐Aware Modeling Approaches for Specific Heat Load Profiles for Residential Consumers in District Heating Simulations

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT Accurate, time‐resolved heat load profiles are essential for realistic district heating simulations, enabling optimized network operation and long‐term transformation planning. In this work, we systematically evaluate modeling approaches for generating such profiles, comparing data‐driven methods (e.g., regression and machine learning) with ...
Johanna Heidrich, Nicolas Krummenauer, Jan Mohring   +2 more
wiley   +1 more source

Physics‐Informed Recurrent Neural Networks for Predicting Elasto‐Plastic Behavior in Hierarchical Finite Element Modeling

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT Nanoporous gold, with its hierarchical structure comprising interconnected networks on multiple length scales, poses significant computational challenges for traditional modeling methods. To solve this challenge, this study introduces a physics‐informed recurrent neural network (RNN) to model the homogenized material response of a diamond beam‐
Lena Dyckhoff, Norbert Huber
wiley   +1 more source

Machine learning approach to estimation of in vivo measured dose and treatment planning for total body irradiation. [PDF]

Radiat Oncol
Lee S, Kim JI, Kang S, Son J, Jin H, Choi CH, Park JM, Lee JH, Chang JH, Kang HC, Jung S.   +10 more
europepmc   +1 more source

Mixture‐Based Estimation of Multivariate Data Hypervolume

Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 3, June 2026.
ABSTRACT Estimating the hypervolume occupied by multivariate data is a fundamental problem in statistics and data science, with applications ranging from ecology and machine learning to multi‐objective optimization and Bayesian inference. Traditional approaches rely on geometric approximations, kernel density estimation, or convex‐hull constructions ...
Luca Scrucca
wiley   +1 more source

TransGrid-CostOpt: A hybrid transformer framework for cost prediction and optimization of distribution network assets. [PDF]

PLoS One
Xiong W, Xia J, Yu Y, Xiong S, Hu H, Wan P, Li D.   +6 more
europepmc   +1 more source

An Overview of Artificial Intelligence and Machine Learning Approaches for Building Energy Analysis, Characterization, Control, and Grid Support Services Provision

WIREs Energy and Environment, Volume 15, Issue 2, June 2026.
Artificial Intelligence and Machine Learning Approaches used in Building Energy Analysis, Control, and Provision of Grid Support Services. ABSTRACT Increasing penetrations of variable renewable energy sources like wind and solar photovoltaic (PV) systems are challenging power system stability worldwide.
Jack S. Bryant, Hangxin Li, Nawanjana Maheepala, Xiaoyu Lin, Mingkun Dai, Binglong Han, Robin Guan, Lasantha Meegahapola, Shengwei Wang, Dilan Robert, Liuping Wang, Fu Xiao   +11 more
wiley   +1 more source

Gaussian Process Regression for Tail Vehicle Departure Time Prediction at Signalized Intersections Using UAV Trajectory Data. [PDF]

Sensors (Basel)
Lu K, Liu Z, Zhang R, Xia Q, Wang R.
europepmc   +1 more source