Results 11 to 20 of about 32,118 (250)

Intellectualization of Moving Transport Objects Recognition

open access: yesЦифрова платформа: інформаційні технології в соціокультурній сфері, 2022
The purpose of the article is to research, analyze, and consider current problems and prospects for the development of software for the recognition of transport objects based on the use of pattern recognition theory, methods, and tools of artificial ...
Ольга Ткаченко   +1 more
doaj   +1 more source

MPMFFT based DCA-DBT integrated probabilistic model for face expression classification

open access: yesJournal of King Saud University: Computer and Information Sciences, 2020
Face Expression is the visible feature mask to concede person's behaviour, intension or reaction. The paper has dealt out a qualified data mining model for expression recognition called MPMFFT (Multiple Pattern Multiple Feature based Feature ...
Kapil Juneja
doaj   +1 more source

Evaluating student’s ability to assess treatment claims: validating a German version of the Claim Evaluation Tools

open access: yesBMC Public Health, 2023
Background The Claim Evaluation Tools measure the ability to assess claims about treatment effects. The aim of this study was to adapt the German item sets to the target group of secondary school students (aged 11 to 16 years, grade 6 to 10) and to ...
Jana Hinneburg   +6 more
doaj   +1 more source

Project risk management of the construction industry enterprises based on fuzzy set theory [PDF]

open access: yesProblems and Perspectives in Management, 2019
The construction industry is a crucially important element of the Ukrainian economy, since its development and performance affect other industries. The economic recession consequences and the unforeseen recent events, caused by different types of risks ...
Oleg Gavrysh, Valeriia Melnykova
doaj   +1 more source

Performance analysis of probabilistic timed automata using digital clocks [PDF]

open access: yes, 2006
Probabilistic timed automata, a variant of timed automata extended with discrete probability distributions, is a modelling formalism suitable for describing formally both nondeterministic and probabilistic aspects of real-time systems, and is amenable to
Kwiatkowska, M.   +3 more
core   +1 more source

Alterations of white matter structural networks in patients with non-neuropsychiatric systemic lupus erythematosus identified by probabilistic tractography and connectivity-based analyses

open access: yesNeuroImage: Clinical, 2017
Purpose: Systemic lupus erythematosus (SLE) is a chronic inflammatory female-predominant autoimmune disease that can affect the central nervous system and exhibit neuropsychiatric symptoms.
Man Xu   +7 more
doaj   +1 more source

Processing and Use of Satellite Images in Order to Extract Useful Information in Precision Agriculture

open access: yesBulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca: Agriculture, 2016
Image analysis methods were developed and diversified greatly in recent years due to increasing speed and accuracy in providing information regarding land cover and vegetation in urban areas.
Mihai Valentin Herbei   +4 more
doaj   +1 more source

Probabilistic finite element analysis of the uncemented hip replacement-effect of femur characteristics and implant design geometry [PDF]

open access: yes, 2010
In the present study, a probabilistic finite element tool was assessed using an uncemented total hip replacement model. Fully bonded and frictional interfaces were investigated for combinations of three proximal femurs and two implant designs, the ...
Dopico González, Carolina   +2 more
core   +1 more source

Brain functional connectivity in sleep-related hypermotor epilepsy

open access: yesNeuroImage: Clinical, 2018
Objectives: To evaluate functional connectivity (FC) in patients with sleep-related hypermotor epilepsy (SHE) compared to healthy controls. Methods: Resting state fMRI was performed in 13 patients with a clinical diagnosis of SHE (age=38.3±11.8years, 6M)
Stefania Evangelisti   +12 more
doaj   +1 more source

Probabilistic Predictions with Federated Learning

open access: yes, 2020
Probabilistic predictions with machine learning are important in many applications. These are commonly done with Bayesian learning algorithms. However, Bayesian learning methods are computationally expensive in comparison with non-Bayesian methods ...
Frank Gauterin, Adam Thor Thorgeirsson
core   +1 more source

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