Results 61 to 70 of about 196,128 (281)
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Advanced Functional Materials, EarlyView.Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source
Traffic Sign Recognition in Rainy Conditions Based on Federated Learning [PDF]
ITM Web of ConferencesThe challenge of traffic sign recognition in rainy conditions poses significant difficulties for autonomous driving systems, primarily due to obscured visibility and altered sign characteristics.
Chen Yilin
doaj +1 more source
, 2018 We propose a convolutional network with hierarchical classifiers for per-pixel semantic segmentation, which is able to be trained on multiple, heterogeneous datasets and exploit their semantic hierarchy.
Dubbelman, Gijs, Meletis, Panagiotis
core +1 more source
Bioinspired Stabilization of Fluorescent Au@SiO2 Tracers for Multimodal Biological Imaging
Advanced Functional Materials, EarlyView.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
Intelligent recognition of traffic sign images based on visual communication technology
Discover Artificial IntelligenceAiming at the defects of current traffic sign image recognition, such as high error rate and poor recognition in real time, the intelligent recognition method of traffic sign image based on visual communication technology is proposed with the main ...
Jin Chencong, Cheng Defang, Bo Likang
doaj +1 more source
Reducing the amount of input data in traffic sign classification [PDF]
, 2006 Proceeding of: 3th International Conference Modeling Decisions for Artificial Intelligence, MDAI 2006. Tarragona, Catalonia, Spain, april 3-5th, 2006.Several complex problems have to be solved in order to build Intelligent Transport Systems.
Granados, Ana +3 more
core
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
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
TRAFFIC SIGN RECOGNITION WITH CONVOLUTIONAL NEURAL NETWORK
Scientific Journal of Astana IT University, 2022 Road sign recognition is one of the most important steps drivers can take to avoid dangerous roads or accidents. The purpose of the research work is to develop a recognition system, increasing the classification accuracy of the model, using deep learning
Sharipa Temirgaziyeva, Batyrkhan Omarov
doaj +1 more source
Network Uncertainty Informed Semantic Feature Selection for Visual SLAM
, 2019 In order to facilitate long-term localization using a visual simultaneous localization and mapping (SLAM) algorithm, careful feature selection can help ensure that reference points persist over long durations and the runtime and storage complexity of the
Ganti, Pranav, Waslander, Steven L.
core +1 more source