Results 91 to 100 of about 14,572 (301)
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
Artificial Intelligence as Driver for Business Model Innovation in Smart Service Systems
, 2020 Artificial Intelligence drives business model innovation. In this context, our paper examines major amendments of business model elements (value proposition, value creation and value capture) due to artificial intelligence implementation into products and services.
Jens Neuhüttler +5 more
openaire +2 more sources
Driver reactions on ecological feedback via different HMI modalities
, 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
core
Arthritis Care &Research, Accepted Article.Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed‐methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah +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
Modeling the Effects of Intelligent Driver Assistance on Driver Behaviors [PDF]
, 2010 Many studies have concluded that activities like answering a cell phone call and entering an address while driving could potentially distract the driver. This thesis presents the design and experimental evaluation by simulation of four Intelligent Driver
Deo, Ganesh
core
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.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 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
Social Predictive Intelligent Driver Model for Autonomous Driving Simulation
Simulation is an invaluable tool in the field of autonomous driving, especially in verifying the decision-making and planning algorithms. Real vehicle experiments can potentially cause safety accidents.
Sun, Chen +5 more
core +1 more source