Results 61 to 70 of about 1,371,293 (266)
, 2020 From November 4th to 7th, 2018, the IEEE Intelligent Transportation Systems Society (ITSS) sponsored the 21st IEEE International Conference on Intelligent Transportation Systems (ITSC2018), one of the most prestigious academic meetings on Intelligent ...
Barth, Matthew +1 more
core +1 more source
Efficient federated graph aggregation for privacy-preserving GNN-based session recommendation
Scientific ReportsGraph 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 +3 more
doaj +1 more source
PhotonicsPhase unwrapping is the decisive factor for achieving dimensional accuracy in phase-shifting profilometry, yet unavoidable phase jumps occur at discontinuities.
Yuyang Yu +4 more
doaj +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
What have we learned about intelligent transportation systems?
, 2000 "December 2000."Cover title.Printed from the U.S. Dept.
United States. Joint Program Office for Intelligent Transportation Systems. +1 more
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Scientific ReportsWith the continuous advancement of intelligent technology, intelligent transportation has become a prominent area of research within the transportation sector.
Wei Pan +3 more
doaj +1 more source
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 +2 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Development of a special topics course on intelligent transportation systems for the Zachry Department of Civil Engineering of Texas A&M University. [PDF]
DTRT06-G-0044With Intelligent Transportation Systems (ITS), engineers and system integrators blend emergingdetection/surveillance, communications, and computer technologies with transportation management andcontrol concepts to improve the safety and ...
Texas Transportation Institute. University Transportation Center for Mobility +2 more
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Journal of Advanced TransportationAutonomous truck platooning represents a transformative advancement in modern highway logistics, offering substantial benefits in fuel efficiency and traffic throughput.
Liangfeng Xie +5 more
doaj +1 more source