Results 41 to 50 of about 38,348 (250)

UnShadowNet: Illumination Critic Guided Contrastive Learning for Shadow Removal

open access: yesIEEE Access, 2023
Shadows are frequently encountered natural phenomena that significantly hinder the performance of computer vision perception systems in practical settings, e.g., autonomous driving.
Subhrajyoti Dasgupta   +6 more
doaj   +1 more source

A feasibility cachaca type recognition using computer vision and pattern recognition [PDF]

open access: yesComputers and Electronics in Agriculture, 2016
The problem of recognition of aging time and wood type in chacaca is presented.A new approach is introduced using a computer vision system.The developed image capture device and information processing method is presented.Results show that the new technique is cheaper and better than previous approaches.
Bruno Urbano Rodrigues   +13 more
openaire   +2 more sources

Polarization‐resolved femtosecond Vis/IR spectroscopy tailored for resolving weak signals in biological samples using minimal sample volume

open access: yesFEBS Open Bio, EarlyView.
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley   +1 more source

Derivation and characterization of retinal pigment epithelium from urine‐derived iPSCs

open access: yesFEBS Open Bio, EarlyView.
Age‐related macular degeneration causes vision loss via RPE dysfunction and loss. Traditional iPSC therapies rely on invasive biopsies, limiting scalability. Here, we utilize urine‐derived stem cells as an accessible source to generate u‐iPSCs, successfully differentiated into pigmented RPE. This “Urine‐to‐Retina” platform provides a promising path for
Daniella Beiner   +7 more
wiley   +1 more source

Automatic Ship Classification from Optical Aerial Images with Convolutional Neural Networks

open access: yesRemote Sensing, 2018
The automatic classification of ships from aerial images is a considerable challenge. Previous works have usually applied image processing and computer vision techniques to extract meaningful features from visible spectrum images in order to use them as ...
Antonio-Javier Gallego   +2 more
doaj   +1 more source

Vestibular Patient Journey: Insights From Vestibular Disorders Association (VeDA) Registry

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Vestibular symptoms impose a high burden of disability. Understanding real‐world diagnostic and treatment pathways can identify care gaps and guide interventions. We aimed to characterize symptom profiles, diagnostic trends, provider involvement, and treatment patterns in vestibular disorders.
Ali Rafati   +10 more
wiley   +1 more source

Baseline Regional Cholinergic Denervation Predicts Cognitive Trajectories in Moderate Parkinson Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cognitive decline is a disabling and variable feature of Parkinson disease (PD). While cholinergic system degeneration is linked to cognitive impairments in PD, most prior research reported cross‐sectional associations. We aimed to fill this gap by investigating whether baseline regional cerebral vesicular acetylcholine transporter ...
Taylor Brown   +6 more
wiley   +1 more source

Sex Representation in US Stroke Clinical Trials: A Decade of Trends and Challenges

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Stroke remains a major cause of disability and mortality in the US, with significant sex‐based disparities, and females remain underrepresented in stroke clinical trials. We aimed to examine sex representation in US‐based stroke clinical trials, identify trial characteristics associated with higher female enrollment (≥ 50%), and ...
Chaitali Dagli   +5 more
wiley   +1 more source

Graph Neural Networks in Point Clouds: A Survey

open access: yesRemote Sensing
With the advancement of 3D sensing technologies, point clouds are gradually becoming the main type of data representation in applications such as autonomous driving, robotics, and augmented reality. Nevertheless, the irregularity inherent in point clouds
Dilong Li   +5 more
doaj   +1 more source

Semantic Segmentation of SLAR Imagery with Convolutional LSTM Selectional AutoEncoders

open access: yesRemote Sensing, 2019
We present a method to detect maritime oil spills from Side-Looking Airborne Radar (SLAR) sensors mounted on aircraft in order to enable a quick response of emergency services when an oil spill occurs.
Antonio-Javier Gallego   +3 more
doaj   +1 more source

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