Deep Learning Derived Object Detection and Tracking Technology Based on Sensor Fusion of Millimeter-Wave Radar/Video and Its Application on Embedded Systems. [PDF]
Sensors (Basel), 2023 Lin JJ, Guo JI, Shivanna VM, Chang SY.
europepmc +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
Comprehensive Analysis of Neural Network Inference on Embedded Systems: Response Time, Calibration, and Model Optimisation. [PDF]
Sensors (Basel)Huber P +4 more
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Fast Fault Diagnosis in Industrial Embedded Systems Based on Compressed Sensing and Deep Kernel Extreme Learning Machines. [PDF]
Sensors (Basel), 2022 Shan N, Xu X, Bao X, Qiu S.
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Advanced Engineering Materials, EarlyView.Thermomechanical fatigue tests of laser beam powder bed fusion (PBF‐LB) Inconel 718 show that the additively manufactured material reaches almost the lifetimes of conventionally‐rolled material under no‐dwell conditions. Introducing dwell times at the maximum temperature markedly reduces the lifetimes due to pronounced grain boundary sliding associated
Stefan Guth +6 more
wiley +1 more source
Lightweight Convolutional Neural Network with Efficient Channel Attention Mechanism for Real-Time Facial Emotion Recognition in Embedded Systems. [PDF]
Sensors (Basel)Ramirez-Quintana JA +4 more
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A Generalization Performance Study Using Deep Learning Networks in Embedded Systems. [PDF]
Sensors (Basel), 2021 Gorospe J +4 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
Model-based Verification of Adaptive Embedded Systems under Environment Constraints
, 2009 Model-based verification of adaptive embedded systems is a promising approach to deal with the increased complexity that adaptation imposes on system design.
Schaefer, Ina,, Poetzsch-Heffter, Arnd
core
Software Trusted Platform Module (SWTPM) Resource Sharing Scheme for Embedded Systems. [PDF]
Sensors (Basel)Chen DC, Chen GR, Liao YP.
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