Improving reliability of aggregation, numerical simulation and analysis of complex systems by empirical data

Dobronets, Boris S.; Popova, Olga A.

doi:10.1088/1757-899x/354/1/012006

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…We also have proposed the arithmetic operations on probability density functions and procedures for constructing probabilistic extensions as the basis of computational probabilistic analysis [3][4][5][6][7][8][9].…”

Section: Resultsmentioning

confidence: 99%

The Reliability of Numerical Modeling in Remote Sensing Data Analysis

Dobronets

Popova

2020

E3S Web Conf.

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The article deals with the problem of calculating reliable estimates of empirical distribution functions under conditions of small sample and data uncertainty. To study these issues, we develope computational probabilistic analysis as a new area in computational statistics. We propose a new approach based on random interpolation polynomials and order statistics. Arithmetic operations on probability density functions and procedures for constructing the probabilistic extensions are used.

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Section: Resultsmentioning

confidence: 99%

The Reliability of Numerical Modeling in Remote Sensing Data Analysis

Dobronets

Popova

2020

E3S Web Conf.

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“…All the included studies were collected and appraised with empirical data procedures, which was an empirical analysis to improve accuracy and estimate errors [ 19 , 20 ]. This review used the corresponding checklists from the Critical Appraisal Checklist for Qualitative Research of JBI.…”

Section: Methodsmentioning

confidence: 99%

“…All the included studies were collected and appraised with empirical data procedures, which was an empirical analysis to improve accuracy and estimate errors [19,20].…”

Section: Study Quality Procedures and Assessmentmentioning

confidence: 99%

Impact of Mental Health First Aid Training Courses on Patients’ Mental Health

Zeng

Zhong

Chen

et al. 2022

Computational Intelligence and Neuroscience

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Background. With the prevalence of mental issues worldwide, more and more people are suffering from psychological torture. Mental Health Gap Action Program (mhGAP) has been introduced to improve the life quality of humans. Objectives. To explore and synthesize evidence of participants’ experience of mental health first aid (MHFA) training course. Method. Peer-reviewed qualitative evidence was systematically reviewed and thematically synthesized. Cumulative Index to Nursing and Allied Health Literature (CINAHL), Medical Literature Analysis and Retrieval System Online (MEDLINE), Psychological Information (PsycINFO), PubMed, Psych ARTICLES, Web of Science, Joanna Briggs Institute (JBI), and National Institute for Health and Care Excellence (NICE) databases were searched for the inception of the present study. The study’s quality was appraised using the Critical Appraisal Checklist for Qualitative Research of Joanna Briggs Institute (JBI) appraisal tool. All the participants who have attended the MHFA training course (excluding instructors) setting were included. Results. Six papers published between 2005 and 2019 were included for thematic synthesis. The review indicated that MHFA had been a positive experience for participants. Conclusions. MHFA courses can provide participants with professional knowledge of mental health counseling and improve their knowledge, practice, and attitudes towards their patients. Professional MHFA training courses should therefore be popularized and promoted among other populations.

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Numerical Analysis for Problems of Remote Sensing with Random Input Data

Dobronets

Popova

2019

E3S Web Conf.

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The study is devoted to the remote sensing data processing using the models with random input data. In this article we propose a new approach to calculation of functions with random arguments, which is a technique of fast computations, based on the idea of parallel computations and the application of numerical probability analysis. To calculate a function with random arguments we apply one of the basic concepts of numerical probabilistic analysis as the probabilistic extension. To implement the technique of fast computations, a new method based on parallel recursive calculations is proposed.

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Improving reliability of aggregation, numerical simulation and analysis of complex systems by empirical data

Cited by 4 publications

References 8 publications

The Reliability of Numerical Modeling in Remote Sensing Data Analysis

The Reliability of Numerical Modeling in Remote Sensing Data Analysis

Impact of Mental Health First Aid Training Courses on Patients’ Mental Health

Numerical Analysis for Problems of Remote Sensing with Random Input Data

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