Results 161 to 170 of about 43,170 (257)

A Review of Advances in Composite Materials, Structural Optimization, and Machine Learning for Wind Turbine Blades: Challenges and Future Perspectives

Polymer Composites, EarlyView.
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, Denizhan Yavas, Alaeddin Burak Irez   +2 more
wiley   +1 more source

Intravascular ultrasound wall shear stress imaging in stented coronary arteries with ultrafast Doppler. [PDF]

Sci Rep
Singh TC, Strassle Rojas S, Shah I, Martín Tempestti J, Veneziani A, Lindsey BD.   +5 more
europepmc   +1 more source

Design and Testing of a Minimal Configuration Underwater Micro‐Glider: Automating Lake and Reservoir Monitoring

Journal of Field Robotics, EarlyView.
ABSTRACT Uncrewed underwater vehicles (UUVs) have transformed oceanographic research through autonomous data gathering. Similarly, lake and other aquatic research can potentially be automated and transformed. However, UUVs would need to be smaller, lighter, less complex, and cheaper than currently available to make them more practical and user‐friendly
James M Rand, Alan Hunter, Danielle Wain, Lee D Bryant   +3 more
wiley   +1 more source

Fragmentation Across Scales, Geography, and Climate Challenges in European Urban Climate Change Adaptation and Mitigation Research: A Bibliometric and Systematic Review

Sustainable Development, EarlyView.
ABSTRACT European urban climate change research lacks integration across scales, geography, and climate challenges, despite Europe's coordinated policy frameworks. Through a hybrid bibliometric and systematic review of 1528 studies (2010–2025) using Cortext Manager and PRISMA 2020 guidelines, this study maps the conceptual patterns, knowledge gaps, and
Isabela Pichardo‐Velázquez, Richard Dean Morales, Antonino Marvuglia   +2 more
wiley   +1 more source

Digital performance testing reveals how redesigned return cannulas can enhance VV-ECMO performance. [PDF]

Intensive Care Med Exp
Ondrusova B, Petras A, Szasz J, Meier J, Gerardo-Giorda L.   +4 more
europepmc   +1 more source

Synergies of Geospatial and Digital Technologies for Sustainable Rural Development: A Data‐Driven Analysis of Topics and Novelty Assessment

Sustainable Development, EarlyView.
ABSTRACT The adoption of geospatial and digital technologies, including Geographic Information Systems (GIS), Building Information Modelling (BIM), Digital Twins, the Internet of Things (IoT) and Artificial Intelligence (AI), is increasingly recognised as key enablers of sustainable development.
Monica C. M. Parlato, Andrea Pezzuolo
wiley   +1 more source

Spatiotemporal prediction of sneeze pollutants in enclosed spaces: a CNN-LSTM approach validated by field measurements and CFD-Robotics arm twin system. [PDF]

Front Robot AI
Zhao M, Zhang S, Li K, Zhang Y, Wang X, Chen T, Ren Y, Lu Y, Wang J.   +8 more
europepmc   +1 more source

Machine Learning‐Driven Capillary Microfluidic Design Automation for Programmable Gradient Generation and Antimicrobial Testing

Small, EarlyView.
TCG‐CMDA, a machine learning‐guided capillary microfluidic design automation platform, enables automated design of tree‐shaped concentration gradient generators for programmable mixing of two agents. The pump‐free chip supports synchronized passive flow and programmable gradient formation, providing a practical framework for decentralized point‐of‐care
Mahmood Khalghollah, Azam Zare, Sorosh Abdollahi, Behrouz H. Far, Amir Sanati Nezhad   +4 more
wiley   +1 more source

Transfer of Optimized Crystal-Growth Environments between Different Furnace Configurations via a Latent Space. [PDF]

ACS Omega
Sakamoto T, Furusho T, Kutsukake K, Harada S, Ujihara T.   +4 more
europepmc   +1 more source

Aligning Real‐Time Recurrence Computational Fluid Dynamics Simulations with Plant Data for the Ruhrstahl–Heraeus Degassing Process of Steel

steel research international, EarlyView.
Uncertainties exist in computational fluid dynamics (CFD) modeling of complex metallurgical processes, even when partly validated by laboratory experiments. rCFD enables computationally efficient prediction of long‐term RH degassing and can be adapted to vary flow conditions.
Xiaomeng Zhang, Maria Thumfart, Roman Rössler, Stefan Pirker   +3 more
wiley   +1 more source