Results 81 to 90 of about 264,006 (281)
Advanced Functional Materials, EarlyView.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
Fast detection of multiple objects in traffic scenes with a common detection framework
, 2015 Traffic scene perception (TSP) aims to real-time extract accurate on-road environment information, which in- volves three phases: detection of objects of interest, recognition of detected objects, and tracking of objects in motion.
Hengel, Anton van den +4 more
core +1 more source
, 2021 Smart vehicles with capabilities of autonomous driving are a big revolution in automobile industry. The vehicles can sense their environment and react based on it. It replaces the manual driver. Recognition of traffic sign is an important enabler for autonomous driving. Camera installed in the vehicle captures the traffic sign on the road and they must
openaire +1 more source
Isolation Defines Identity: Functional Consequences of Extracellular Vesicle Purification Strategies
Advanced Healthcare Materials, EarlyView.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
Eigen-based traffic sign recognition
IET Intelligent Transport Systems, 2011 This study's purpose is to introduce eigen-based traffic sign recognition. This technique is based on invoking the principal component analysis (PCA) algorithm to choose the most effective components of traffic sign images to classify an unknown traffic sign. A set of weights are computed from the most effective eigen vectors of the traffic sign.
Fleyeh, Hasan, Davami, Erfan
openaire +2 more sources
Advanced Healthcare Materials, EarlyView.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
Optimized Method for Iranian Road Signs Detection and recognition system
, 2014 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
Advanced Materials, EarlyView.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
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
Advanced Materials, EarlyView.This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives
Advanced Materials, EarlyView.Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi +4 more
wiley +1 more source