Results 201 to 210 of about 14,469 (313)

SVDHLA: symmetric variable depth hybrid learning automaton and its application. [PDF]

Sci Rep
Nikhalat-Jahromi A, Saghiri AM, Meybodi MR.   +2 more
europepmc   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

A chaotic parallel hash engine with dynamic stochastic diffusion for blockchain and cloud security. [PDF]

Sci Rep
Wang Q, Yang Y, Zhao M, Wan H, Li B, Yan X.   +5 more
europepmc   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Modular and Distributed Supervisory Control Framework for Intelligent Micro-Manufacturing Systems with Unreliable Events. [PDF]

Micromachines (Basel)
Dong G, Ming Z, Hu H.
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Through-Scale Numerical Investigation of Microstructure Evolution During the Cooling of Large-Diameter Rings. [PDF]

Materials (Basel)
Wermiński M, Sitko M, Madej L.
europepmc   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

Quantum circuits from non-unitary sparse binary matrices. [PDF]

Sci Rep
Karuppasamy K, Puram V, George KM, Johnson TP.   +3 more
europepmc   +1 more source

THEORY OF FINITE AUTOMATA

Memoirs of the Faculty of Science, Kyushu University. Series A, Mathematics, 1962
openaire   +2 more sources