Results 171 to 180 of about 102,837 (286)

Developing a Heterogeneous Attenuation Model for Fiber Reinforced Thermoplastic Composites in the Kilohertz Region of the Ultrasonic Spectrum

Polymer Composites, EarlyView.
Acquisition, filtering and modeling by genetic programming (tree pattern) of the acoustic signal for fiber‐filled composites. ABSTRACT This study experimentally investigated the discrete phase contributions of fibers and entrapped air on the attenuation spectrum of a fiber‐filled thermoplastic composite and derives a mathematical expression for sound ...
Austin D. Bedrosian, Andrew Hrymak, Gisela Lanza, Michael R. Thompson   +3 more
wiley   +1 more source

Improved predictive formulae for wave overtopping at sloped breakwaters using interpretable machine learning models. [PDF]

PLoS One
Habib MA, Abolfathi S, O'Sullivan JJ, Salauddin M.   +3 more
europepmc   +1 more source

Diffusion Coefficients of Organic Compounds in Molten High‐Impact Polystyrene

Polymer Engineering &Science, EarlyView.
Schematic overview of the determination of diffusion coefficients in molten high‐impact polystyrene. ABSTRACT Polystyrene (PS) is a widely used packaging material, but its recycling for food‐contact applications is still limited, partly due to a lack of quantitative data on the migration behavior of potential contaminants.
David Mittermayr, Sandra Czaker, Wolfgang Roland, Jörg Fischer   +3 more
wiley   +1 more source

Classification of Speech and Associated EEG Responses from Normal-Hearing and Cochlear Implant Talkers Using Support Vector Machines. [PDF]

Audiol Res
Raghavendra S, Lee S, Tan CT.
europepmc   +1 more source

A Self‐Supervised Machine Learning Approach for the Estimation of Open‐Circuit Voltage Degradation in Photovoltaic Systems

Progress in Photovoltaics: Research and Applications, EarlyView.
This study introduces a self‐supervised machine learning approach integrating physics‐based principles to estimate open‐circuit voltage (voc$$ {v}_{oc} $$) degradation in photovoltaic systems using SCADA data. By combining clustering and regression algorithms, our method detects performance deviations without labelled datasets.
Sandra Riaño, Jose‐Domingo Santos, Miguel Esteras, Amaia Abanda, Javier Del Ser   +4 more
wiley   +1 more source

Data-driven modeling of water adsorption isotherms in cocoa beans: Dataset and Python-based Machine Learning tools for multivariate analysis and storage management. [PDF]

Data Brief
Bahamón-Monje AF, Collazos-Escobar GA, Gutiérrez-Guzmán N.   +2 more
europepmc   +1 more source

Universal Phase Identification of Block Copolymers From Physics‐Informed Machine Learning

Journal of Polymer Science, Volume 63, Issue 6, Page 1433-1440, 15 March 2025.
ABSTRACT Block copolymers play a vital role in materials science due to their diverse self‐assembly behavior. Traditionally, exploring the block copolymer self‐assembly and associated structure–property relationships involve iterative synthesis, characterization, and theory, which is labor‐intensive both experimentally and computationally.
Xinyi Fang, Elizabeth A. Murphy, Phillip A. Kohl, Youli Li, Craig J. Hawker, Christopher M. Bates, Mengyang Gu   +6 more
wiley   +1 more source

Logarithmic coding leads to adaptive stabilization in the presence of sensorimotor delays. [PDF]

Proc Natl Acad Sci U S A
Demarchi L, Coraggioso M, Hubert A, Panier T, Morvan-Dubois G, Bormuth V, Debrégeas G.   +6 more
europepmc   +1 more source

A comprehensive checklist of Mediterranean wild edible plants: Diversity, traditional uses, and knowledge gaps

PLANTS, PEOPLE, PLANET, EarlyView.
The use of wild edible plants and the traditional knowledge associated with them are rapidly disappearing across the Mediterranean, with serious consequences for biodiversity, cultural heritage, and regional food security. This study compiles and organizes fragmented information to create the first comprehensive catalogue of these plants across the ...
Benedetta Gori, Tiziana Cossu, Hicham El Zein, Udayangani Liu, Tiziana Ulian, Gianluigi Bacchetta   +5 more
wiley   +1 more source

Endogenous precision of the number sense. [PDF]

Elife
Prat-Carrabin A, Woodford M.
europepmc   +1 more source