Results 261 to 270 of about 2,919,272 (349)
A Real-Time Embedded System for Driver Drowsiness Detection Based on Visual Analysis of the Eyes and Mouth Using Convolutional Neural Network and Mouth Aspect Ratio. [PDF]
Sensors (Basel)Florez R +4 more
europepmc +1 more source
From high-level specifications down to software implementations of parallel embedded real-time systems [PDF]
, 2000 Carsten Rust +3 more
openalex +1 more source
Advanced Biology, EarlyView.Amide local anesthetics (LA) affect tumor burden in various preclinical studies, possibly via their anti‐inflammatory properties. However, a translation into clinical evidence is still lacking. The current study demonstrates that LA ‐ even at clinically relevant concentrations – exert a strong anti‐tumoral effect in a complex ex vivo model patient ...
Juliane Krömer +8 more
wiley +1 more source
Modbus Extension Server Implementation for BIoT-Enabled Smart Switch Embedded System Device. [PDF]
Sensors (Basel)Găitan VG, Zagan I.
europepmc +1 more source
Loss of Stat3 in Prx1+ Progenitors Impairs Molar Root Development
Advanced Biology, EarlyView.Stat3 critically regulates mandibular first molar and alveolar bone morphogenesis. Conditional ablation of Stat3 disrupts the osteogenic capacity of Prx1+ mesenchymal progenitors, as evidenced across in vivo and in vitro models. Abstract Signal Transducer and Activator of Transcription 3 (Stat3) acts as a central transcriptional modulator coordinating ...
Xin Feng +10 more
wiley +1 more source
A Methodology for Complex Embedded Systems Design: Petri Nets within a UML Approach [PDF]
, 2000 Ricardo J. Machado +2 more
openalex
Embedded Systems Design and Verification: Reuse Oriented Prototyping Methodologies [PDF]
, 2000 S. Raimbault +5 more
openalex +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source