Results 81 to 90 of about 14,545,214 (235)
An FPGA-Based Neuro-Fuzzy Sensor for Personalized Driving Assistance
Sensors, 2019 Advanced driving-assistance systems (ADAS) are intended to automatize driver tasks, as well as improve driving and vehicle safety. This work proposes an intelligent neuro-fuzzy sensor for driving style (DS) recognition, suitable for ADAS enhancement. The
Óscar Mata-Carballeira +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
A Time-Aware In-Cabin Driver Monitoring Ontology With Hybrid Logical Reasoning
IEEE AccessModern autonomous and intelligent vehicles increasingly require reliable in-cabin monitoring systems capable of interpreting complex physiological and behavioral signals to safeguard driver well-being.
Dimitrios Georgiadis +6 more
doaj +1 more source
Oregon driver manual, audio version
, 2003 Print began with 2001/2003.This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Each issue consists of multiple
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Advanced Engineering Materials, EarlyView.This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
World Electric Vehicle JournalIn this paper, an approach to quantify the area of influence of an intelligent longitudinally controlled autonomous vehicle in an urban, mixed-traffic environment is proposed.
Paul Heckelmann, Stephan Rinderknecht
doaj +1 more source
World Electric Vehicle Journal, 2019 To preserve the fun of driving and enhance driving convenience, a smart regenerative braking system (SRS) is developed. The SRS provides automatic regeneration that is appropriate for the driving conditions, but the existing technology has a low level of
Gyubin Sim +5 more
doaj +1 more source
Driver reactions on ecological feedback via different HMI modalities [PDF]
, 2012 Nowadays there already exists a large amount of driving-related information displayed in the dashboard and thus additional information concerning ecological driving might enlarge the workload of the driver further.
Brockmann, Martin +5 more
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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
Sensors, 2019 The connected powertrain control, which uses intelligent transportation system information, has been widely researched to improve driver convenience and energy efficiency.
Kyunghan Min +4 more
doaj +1 more source