Results 241 to 250 of about 549,018 (333)
Supervised learning for predicting unknown modifying variables in pliable lasso. [PDF]
Hawrami ZSM, Cengiz MA, Dünder E.
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
Analysis of polarization aberrations of the off-axis pupil freeform optical system. [PDF]
Gong C +5 more
europepmc +1 more source
Abstract Dental microwear texture analysis (DMTA) has emerged as a valuable method for investigating the feeding ecology of vertebrates. Over the past decade, three‐dimensional topographic data from microscopic regions of tooth surfaces have been collected, and surface texture parameters have been published for both extant and fossil species.
Mugino O. Kubo +4 more
wiley +1 more source
Rectification of Material Model for Fibrous Materials in Compressive Mode. [PDF]
Petronienė JJ +3 more
europepmc +1 more source
Adaptive mixing formation control of multiquadrotor unmanned aerial vehicle systems
Abstract This paper presents a distributed adaptive mixing control (AMC) design for formation maintenance of systems of multiquadrotor UAVs (q‐UAVs) during commanded path‐tracking maneuvers. The proposed formation control scheme has a two‐level structure. The high level defines the desired trajectories for rigid and persistent formation acquisition and
Nasrettin Köksal +2 more
wiley +1 more source
Forensic classification of gunpowder and fireworks powders by ATR-FT-IR spectroscopy and chemometric modelling. [PDF]
Aljanaahi A +5 more
europepmc +1 more source
The Hoffman-Wielandt inequality for quaternion matrices and quaternion matrix polynomials
Pallavi Basavaraju +2 more
openalex +1 more source
Modeling and parameter estimation for fractional large‐scale interconnected Hammerstein systems
Abstract This paper addresses the challenge of modeling and identifying large‐scale interconnected systems exhibiting memory effects, hereditary properties, and non‐local interactions. We propose a fractional‐order extension of the Hammerstein architecture that incorporates Grünwald–Letnikov operators to capture complex dynamics through multiple ...
Mourad Elloumi +2 more
wiley +1 more source

