Results 41 to 50 of about 3,872,264 (315)

Flexible Printed Circuit Fracture Detection Based on Hypothesis Testing Strategy

open access: yesIEEE Access, 2020
A detection algorithm based on hypothesis testing strategy is presented for the detection of the fracture of FPC track. First, the sandwiched region between any two break points of the track skeleton is hypothesized as the alternative fracture to wait ...
Dejian Li, Shaoli Li, Weiqi Yuan
doaj   +1 more source

Collision Detection and Avoidance for Underwater Vehicles Using Omnidirectional Vision

open access: yesSensors, 2022
Exploration of marine habitats is one of the key pillars of underwater science, which often involves collecting images at close range. As acquiring imagery close to the seabed involves multiple hazards, the safety of underwater vehicles, such as remotely
Eduardo Ochoa   +5 more
doaj   +1 more source

Compound Heterozygote Friedreich Ataxia Patients With Covert Proximal FXN Gene Deletions

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We present Friedreich ataxia patients with frataxin gene deletions. Data and records were collected at the Children's Hospital of Philadelphia from patients enrolled in the FACOMS natural history study. Patients with proximal deletions initially diagnosed with only one GAA expanded allele had more severe disease than their homozygous expansion
Michael P. Lazaropoulos   +5 more
wiley   +1 more source

Diabetic retinopathy screening using machine learning: a systematic review

open access: yesBMC Biomedical Engineering
Diabetic retinopathy (DR) stands as a leading cause of global blindness. Early identification and prompt treatment are crucial in preventing vision impairment caused by diabetic retinopathy (DR).
Fitsum Mesfin Dejene   +4 more
doaj   +1 more source

An active reconstruction algorithm based on partial prior information

open access: yesInternational Journal of Advanced Robotic Systems, 2020
Active reconstruction is an intelligent perception method that achieves object modeling with few views and short motion paths by systematically adjusting the parameters of the camera while ensuring model integrity.
Yanzi Kong   +5 more
doaj   +1 more source

Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rituximab (anti‐CD20, RTX) and inebilizumab (anti‐CD19, INE) represent B‐cell‐depleting therapies used for aquaporin‐4 antibody‐positive (AQP4‐IgG+) neuromyelitis optica spectrum disorder (NMOSD); however, direct comparative evidence remains limited.
Jie Lin   +11 more
wiley   +1 more source

Simulation of Crowd Problems for Computer Vision [PDF]

open access: yes, 2005
This work presents an approach for generating video evidence of dangerous situations in crowded scenes. The scenarios of interest are those with high safety risk such as blocked exit, collapse of a person in the crowd, and escape panic.
Fisher, Bob, Andrade, Ernesto
core  

Computer Vision and the Digital Humanities: Adapting Image Processing Algorithms and Ground Truth through Active Learning

open access: yes, 2018
Automated computer vision methods and tools offer new ways of analysing audio-visual material in the realm of the Digital Humanities (DH). While there are some promising results where these tools can be applied, there are basic challenges, such as ...
Zeppelzauer, Matthias, Musik, Christoph
core   +1 more source

A Framework for Generic State Estimation in Computer Vision Applications [PDF]

open access: yes, 2001
Experimenting and building integrated, operational systems in computational vision poses both theoretical and practical challenges, involving methodologies from control theory, statistics, optimization, computer graphics, and interaction. Consequently, a
Telea, Alexandru   +8 more
core   +2 more sources

Deep learning approach to fractal surfaces: application to satellite images of urban areas

open access: yesEPJ Data Science
A Convolutional Neural Network (CNN) approach is proposed to quantify the Hurst exponent H of two-dimensional correlated random matrices. The approach (shortly referred to as RegFractNet) has been tested on deterministic and stochastic fractals and ...
Armando Delgadillo-Jimenez   +5 more
doaj   +1 more source

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