Results 261 to 270 of about 143,911 (316)
Overview of the holistic engineering lifecycle and core research pillars for wind turbine blades. ABSTRACT This paper reviews recent advancements across the lifecycle of wind turbine blades, focusing on three interconnected areas: advanced composites, structural optimization, and machine learning (ML) diagnostics. In materials, we highlight progress in
Kemal Hasirci +2 more
wiley +1 more source
Learning faults in time: sequential behavioural modelling for complex fault detection in multi-robot systems. [PDF]
Mazloum FF, Portugal D, Couceiro MS.
europepmc +1 more source
The graphical abstract presents the experimental and data‐driven framework used to investigate the dry sliding tribological behavior of CFRP and GFRP composites. The effects of seawater, engine oil, diesel fuel, aging time, and normal load on the specific wear rate (SWR) and coefficient of friction (COF) were evaluated using pin‐on‐disc tests, ANOVA ...
Ahmet Saylık +2 more
wiley +1 more source
Liquid neural networks for adaptive DDoS detection in IoT and SDN environments. [PDF]
Raza M, Sattar MA, Jahangir Z, Billah M.
europepmc +1 more source
Artificial intelligence (AI) is being explored to support diagnosis and care for pediatric neurodevelopmental disorders, yet most tools remain in early stages of development. This scoping review identifies limited external validation, narrow population representation, and sparse equity considerations, underscoring the need for inclusive, clinically ...
Florida Uzoaru +3 more
wiley +1 more source
A Physics-Informed Dual-Branch LSTM Network for UAV Position and Attitude Estimation. [PDF]
Liang W, Meng S, Zhang R, Luo Q.
europepmc +1 more source
Similarity‐Driven Framework for Efficient Polymer Property Prediction Under Data Scarcity Scenarios
A new approach, based on structural and chemical similarities between polymers, is proposed to improve the performance of artificial neural networks in predicting the glass transition temperature under data‐scarce conditions. ABSTRACT Predicting polymer properties directly from chemical structure is essential for the rational design of advanced ...
Amaia Elizaran Mendarte +1 more
wiley +1 more source
Knowledge-Based Feature Selection Substantially Enhances Data-Driven Wastewater Treatment Modeling. [PDF]
Gu S +9 more
europepmc +1 more source
Object‐based deep learning for probabilistic convective‐core nowcasting from satellite data
Convective cores detected from Meteosat infrared imagery are represented as compact physical objects to generate probabilistic nowcasts up to 6 h ahead. A spatio‐temporal transformer models interactions among evolving core populations and produces gridded probability forecasts across the western Sahel.
Mendrika Rakotomanga +5 more
wiley +1 more source

