Results 41 to 50 of about 32,202 (267)

HARDWARE AND SOFTWARE COMPLEX OF AUGMENTATION COMMUNICATION SYSTEM ON THE BASIS OF EYETRACKING TECHNOLOGYS [PDF]

open access: yesVestnik KRAUNC: Fiziko-Matematičeskie Nauki, 2019
The paper presents a description of the developed APC and implemented the algorithm of EyeTracking (based on convolutional neural networks and morphological analysis), which allows people suffering from motor dysfunction and neuroparalytic syndromes to ...
Yu. V. Grushko
doaj   +1 more source

Radar-based Feature Design and Multiclass Classification for Road User Recognition

open access: yes, 2019
The classification of individual traffic participants is a complex task, especially for challenging scenarios with multiple road users or under bad weather conditions.
Appenrodt, Nils   +3 more
core   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein   +7 more
wiley   +1 more source

A New Binarization Algorithm for Historical Documents

open access: yesJournal of Imaging, 2018
Monochromatic documents claim for much less computer bandwidth for network transmission and storage space than their color or even grayscale equivalent.
Marcos Almeida   +4 more
doaj   +1 more source

Computing Integrated Information (Φ) in Discrete Dynamical Systems with Multi-Valued Elements

open access: yesEntropy, 2020
Integrated information theory (IIT) provides a mathematical framework to characterize the cause-effect structure of a physical system and its amount of integrated information (Φ).
Juan D. Gomez   +4 more
doaj   +1 more source

Learning Surrogate Models of Document Image Quality Metrics for Automated Document Image Processing

open access: yes, 2017
Computation of document image quality metrics often depends upon the availability of a ground truth image corresponding to the document. This limits the applicability of quality metrics in applications such as hyperparameter optimization of image ...
Hast, Anders   +2 more
core   +1 more source

Structure–Function Decoupling of the Sensorimotor and Default Mode Networks in Black Americans With MS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano   +11 more
wiley   +1 more source

A Multiple-Expert Binarization Framework for Multispectral Images

open access: yes, 2015
In this work, a multiple-expert binarization framework for multispectral images is proposed. The framework is based on a constrained subspace selection limited to the spectral bands combined with state-of-the-art gray-level binarization methods.
Cheriet, Mohamed   +1 more
core   +1 more source

Microporous Microgel Assemblies Facilitating the Recruitment and Osteogenic Differentiation of Progenitor Cells for Bone Regeneration

open access: yesAdvanced Functional Materials, EarlyView.
There is a significant need for biomaterials with well‐defined stability and bioactivity to support tissue regeneration. In this study, we developed a tunable microgel platform that enables the decoupling of stiffness from porosity, thereby promoting bone regeneration.
Silvia Pravato   +9 more
wiley   +1 more source

Algorithmization of the process of recognition of states of living objects based on special x-ray images [PDF]

open access: yesКомпьютерная оптика, 2019
The article discusses results of the development of an expert system module for diagnosing diseases based on the method of neural network analysis.
Vladislav Vasilchenko   +2 more
doaj   +1 more source

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