Results 61 to 70 of about 38,248 (315)

Theoretical research and system design of ship navigation guidance for local temporary prohibited navigation area

Scientific Reports
With the continuous advancement of intelligent technology, intelligent transportation has become a prominent area of research within the transportation sector.
Wei Pan, Jinru Fan, Xin-lian Xie, Meng Li   +3 more
doaj   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

A Multi-Scale Edge-Band-Preserving Phase Restoration Method Based on Fringe Projection Phase Profilometry

Photonics
Phase unwrapping is the decisive factor for achieving dimensional accuracy in phase-shifting profilometry, yet unavoidable phase jumps occur at discontinuities.
Yuyang Yu, Pengfei Feng, Qin Zhang, Lei Qian, Yueqi Si   +4 more
doaj   +1 more source

Intelligent Transportation Systems

, 2002
This paper presents a review of the state of the art on Intelligent Transportation Systems and discuss the problem of modelling and simulation. ITS involves a large number of research ares and, therefore, this paper focus on those we believe to be the most relevant.
Figueiredo, Lino, Jesus, Isabel S., Tenreiro Machado, J. A., Ferreira, José Rui   +3 more
openaire   +2 more sources

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Efficient federated graph aggregation for privacy-preserving GNN-based session recommendation

Scientific Reports
Graph Neural Networks (GNN) have attracted increasing attention due to their efficient performance in recommendation systems. However, applying GNNs in session-based recommendations with emerging federated learning (FL) for a privacy-preserving ...
Jing Lou, Cheng Rong, Hanshen Chen, Daxue Liu   +3 more
doaj   +1 more source

Robust Traffic Signal Retiming Based on Queue Service Time Estimation Using Low-Penetration Connected Vehicle Data

Systems
Signal retiming is the most cost-efficient measure to reduce vehicle delay and alleviate congestion on urban roads. Previous studies have explored the potential of using connected vehicle data for signal retiming specifically under the current low ...
Chengchuan An, Weihua Zhang, Yinpu Wang, Siping Ke, Jingxin Xia   +4 more
doaj   +1 more source

Intelligent Transportation Systems

Communications, 2003
Intelligent transportation system (ITS) stands for a transportation system with improved quality of control using an added "intelligence". Improved control can be attained by optimisation methods, by simualtions, interactive methods or artificial ...
Petr Cenek
doaj   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Assessing the Operational Safety of New Energy Truck Platoons Under Information Uncertainty and Longitudinal Slope

Journal of Advanced Transportation
Autonomous truck platooning represents a transformative advancement in modern highway logistics, offering substantial benefits in fuel efficiency and traffic throughput.
Liangfeng Xie, Guizhen Yu, Junjie Zhang, Bo Yang, Xiangyu Shao, Bin Zhou   +5 more
doaj   +1 more source