Results 61 to 70 of about 141,644 (246)

Vibration-Based Damage Detection in Wind Turbine Blades using Phase-Based Motion Estimation and Motion Magnification

open access: yes, 2018
Vibration-based Structural Health Monitoring (SHM) techniques are among the most common approaches for structural damage identification. The presence of damage in structures may be identified by monitoring the changes in dynamic behavior subject to ...
Mao, Zhu   +3 more
core   +1 more source

Design and construction of a configurable full-field range imaging system for mobile robotic applications [PDF]

open access: yes, 2011
Mobile robotic devices rely critically on extrospection sensors to determine the range to objects in the robot’s operating environment. This provides the robot with the ability both to navigate safely around obstacles and to map its environment and hence
Carnegie, Dale A.   +5 more
core   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu   +11 more
wiley   +1 more source

Finger vein recognition algorithm under reduced field of view

open access: yesIET Image Processing, 2021
Algorithms for finger vein recognition methods are generally designed based on greyscale images containing vein distributions, but greyscale inhomogeneities and non‐venous texture structures often adversely affect the recognition results.
Jian Jin   +4 more
doaj   +1 more source

Learning to Extract Motion from Videos in Convolutional Neural Networks

open access: yes, 2016
This paper shows how to extract dense optical flow from videos with a convolutional neural network (CNN). The proposed model constitutes a potential building block for deeper architectures to allow using motion without resorting to an external algorithm,
BKP Horn   +14 more
core   +1 more source

Event detection in field sports video using audio-visual features and a support vector machine [PDF]

open access: yes, 2005
In this paper, we propose a novel audio-visual feature-based framework for event detection in broadcast video of multiple different field sports. Features indicating significant events are selected and robust detectors built. These features are rooted in
O'Connor, Noel E., Sadlier, David A.
core   +1 more source

Adult‐Onset Subacute Sclerosing Panencephalitis Presenting With Subacute Cognitive Deficits

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We describe the case of a 41‐year‐old man diagnosed with adult‐onset subacute sclerosing panencephalitis (SSPE). The patient presented with subacute progressive cognitive deficits and a neuropsychological profile indicating predominant frontoparietal dysfunction. MRI showed only mild parietal‐predominant cerebral atrophy.
Dennis Yeow   +4 more
wiley   +1 more source

Iterative attribute augmentation network for face image super resolution

open access: yesElectronics Letters, 2021
Although recently a series of deep‐learning based methods have promoted the performance of face super resolution (FSR), most of these methods cannot recover essential face attributes accurately, especially to super‐resolve a very low‐resolution (LR) face
Zi Teng, Xiaosheng Yu, Chengdong Wu
doaj   +1 more source

A Scoping Review on Artificial Intelligence–Supported Interventions for Nonpharmacologic Management of Chronic Rheumatic Diseases

open access: yesArthritis Care &Research, EarlyView.
This review summarizes artificial intelligence (AI)‐supported nonpharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI‐supported interventions for adults with chronic rheumatic diseases.
Nirali Shah   +5 more
wiley   +1 more source

Segregation of meaningful strokes, a pre‐requisite for self co‐articulation removal in isolated dynamic gestures

open access: yesIET Image Processing, 2021
Gesture formation, a pre‐processing step, has its importance when variations in patterns, scale, and speed come into play. Self co‐articulations are intentional movements performed by an individual to complete a gesture, whose presence in the trajectory ...
Anish Monsley K.   +5 more
doaj   +1 more source

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