Results 191 to 200 of about 177,625 (277)
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez +4 more
wiley +1 more source
Variable Bayesian-Based Maximum Correntropy Criterion Cubature Kalman Filter with Application to Target Tracking. [PDF]
Ma Y, Zhang G, Ye S, An D.
europepmc +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
Comb Model in Periodic Potential. [PDF]
Iomin A, Milovanov A, Sandev T.
europepmc +1 more source
An Adaptive External Torque Estimation Algorithm for Collision Detection in Robotic Arms. [PDF]
Yan C, Lyu M, Chen Y, Zhang J.
europepmc +1 more source
Research on Seafloor 3D Reconstruction Method Based on Sparse Measurement Points. [PDF]
Xiao E +6 more
europepmc +1 more source
Metasurfaces and Metadevices for Topological Electromagnetic Waves
Optical topologies refer to diverse topological localized structures made by diverse parameters of light fields, such as vortices, skyrmions, and hopfions. This article navigates a direction of metasurface‐based integrated devices for generation, manipulation and detection of novel topologies of light, which would be a rapidly growing interdisciplinary
Rensheng Xie +3 more
wiley +1 more source
Benchmarking Diffusion Annealing-Based Bayesian Inverse Problem Solvers. [PDF]
Crafts ES, Villa U.
europepmc +1 more source
A Hybrid Semi‐Inverse Variational and Machine Learning Approach for the Schrödinger Equation
A hybrid semi‐inverse variational and machine‐learning framework is presented for solving the Schrödinger equation with complex quantum potentials. Physics‐based variational solutions generate high‐quality training data, enabling Random Forest and Neural Network models to deliver near‐perfect energy predictions.
Khalid Reggab +5 more
wiley +1 more source
Generalization of finger-joint kinematics for cleaning tasks. [PDF]
Pham C, Tauscher JP, Groth C, Steil JJ.
europepmc +1 more source

