Results 101 to 110 of about 302,063 (326)
Enhanced YOLO Network for Improving the Efficiency of Traffic Sign Detection
One important task for autonomous driving is the precise detection and recognition of road traffic signs. This research focuses on a comprehensive set of 72 distinct traffic signs that are prevalent on urban roads in China, with the goal of developing an
Yang Cui +4 more
semanticscholar +1 more source
Bioinspired Stabilization of Fluorescent Au@SiO2 Tracers for Multimodal Biological Imaging
This study demonstrates a bioinspired stabilization strategy for fluorescent gold‐silica nanoparticles. Inspired by natural biosilica maturation, high‐temperature calcination transforms the silica shells, preventing dissolution in cell culture media and intracellular environments.
Wang Sik Lee +5 more
wiley +1 more source
In this study, we produced HfN‐based nanoparticles via femtosecond laser ablation in acetone. The nanoparticles exhibit a red‐shifted plasmonic resonance in the NIR‐I window, colloidal stability after coating with polyethyleneglycol, and excellent biocompatibility. The photothermal and X‐ray sensitization therapeutic effects were demonstrated for tumor
Julia S. Babkova +15 more
wiley +1 more source
Traffic Sign Detection and Recognition
Traffic sign recognition and detection is a critical component of intelligent transportation systems aimed at enhancing road safety and driver assistance. This technology involves the use of computer vision and machine learning algorithms to detect and classify various road signs such as stop signs, speed limits, and warning signs in real-time.
openaire +2 more sources
Isolation Defines Identity: Functional Consequences of Extracellular Vesicle Purification Strategies
Four extracellular vesicle purification strategies are compared using ovarian‐cancer ascites and ES‐2 cell supernatants. A novel workflow links purification to function by combining particle‐normalized proteomics with matched cell‐free and cell‐based assays.
Christian Preußer +10 more
wiley +1 more source
Classification of Degraded Traffic Signs Using Flexible Mixture Model and Transfer Learning
Automatic detection and recognition of traffic signs is a topic of research for various applications like driver assistance, inventory management and autonomous driving. Poorly maintained traffic signs degrade by losing their colors or some part is weird
Abdul Mannan +4 more
doaj +1 more source
The biomimetic nanoplatform IMNP (ETS1 pDNA/PBAE@ITP‐MM) undergoes targeted disassembly at inflammatory vascular sites to release the ETS1 plasmid (pETS1). This release initiates a cascade of effects that inhibit pathogenic pathways and support immune homeostasis. (Abbreviations: EndMT, endothelial‐to‐mesenchymal transition; EC, endothelial cell; TC, T
Feng Zhang +13 more
wiley +1 more source
A three-stage real-time detector for traffic signs in large panoramas
Traffic sign detection is one of the key components in autonomous driving. Advanced autonomous vehicles armed with high quality sensors capture high definition images for further analysis.
Yizhi Song +4 more
doaj +1 more source
Optimized Method for Iranian Road Signs Detection and recognition system
Road sign recognition is one of the core technologies in Intelligent Transport Systems. In the current study, a robust and real-time method is presented to identify and detect the roads speed signs in road image in different situations.
Azad, Babak +2 more
core +1 more source
Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long +26 more
wiley +1 more source

