Structural and Logical Model of Transport Maritime Functioning Based on Modeling Information Technology

Logunova, Natalya; Chernyi, Sergei; Zinchenko, Elena; Krivoguz, Denis; Sokolov, S. S.; Nyrkov, Anatoliy

doi:10.3390/economies10010005

Cited by 4 publications

(2 citation statements)

References 22 publications

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“…Although each tree vary greatly depending on the training dataset, learning on a different sample helps to decrease the total variability of the forest. The final results of the random forest model were calculated as [31][32][33]:…”

Section: Resultsmentioning

confidence: 99%

Surface Water Salinity Evaluation and Identification for Using Remote Sensing Data and Machine Learning Approach

Borovskaya

Krivoguz

Chernyi

et al. 2022

JMSE

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Knowledge of the spatio-temporal distribution of salinity provides valuable information for understanding different processes between biota and environment, especially in hypersaline lakes. Remote sensing techniques have been used for monitoring different components of the environment. Currently, one of the biggest challenges is the spatio-temporal monitoring of the salinity level in water bodies. Due to some limitations, such as the inability to be located there permanently, it is difficult to obtain these data directly. In this study, machine learning techniques were used to evaluate the salinity level in hypersaline East Sivash Bay. In total, 93 in situ data samples and 6 Sentinel-2 datasets were used, according to field measurements. Using linear regression, random forest and AdaBoost models, eight water salinity evaluation models were built (six with simple, one with random forest and one with AdaBoost). The accuracy of the best-fitted simple linear regression model was 0.8797; for random forest, it was equal, at 0.808, and for AdaBoost, it was −0.72. Furthermore, it was found that with an increase in salinity, the absorbing light shifts from the ultraviolet part of the spectrum to the infrared and short-wave infrared parts, which makes it possible to produce continuous monitoring of hypersaline water bodies using remote sensing data.

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Section: Resultsmentioning

confidence: 99%

Surface Water Salinity Evaluation and Identification for Using Remote Sensing Data and Machine Learning Approach

Borovskaya

Krivoguz

Chernyi

et al. 2022

JMSE

Self Cite

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“…Therefore, the role of institutions according to [27][28] [4] is to reduce uncertainty by forming a stable structure of social interactions, as represented by the existing institutional levels. The existing institutional levels in the midst of the public, according to [27] [29], are divided into four levels, as follows. 1.…”

Section: Literature Review: Institu-tionalization In the Public Sectormentioning

confidence: 99%

Paradigm Of New Institutional Administrations in The Governance and Institutionalization of Marine Tourism in Payangan, Indonesia

HS,

Soepeno,

et al. 2023

ijmst

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Marine tourism management is not just a matter of governance per se, institutional factors also seem to have an influence, especially in traditional marine tourism management, such as in Payangan. To understand the relationship between governance and institutions in marine tourism management in Payangan, this study aims to analyze the problems in governance and institutions in Payangan, as well as to develop a conceptual model design. The method used in this research is a qualitative method with the Soft System Methodology (SSM) approach as a systemic approach to solve complex governance and institutional problems in Payangan through a series of stages. The research results indicate that the dominant problem situation in Payangan is not in its governance, but rather in its institutions, particularly in accommodating the values of the local community that have long been neglected, as they are monopolized by certain small community groups and elements of the Sumberejo Village Government who are only seeking economic gain. The monopolies of certain parties have caused the governance and institutionalization of marine tourism in Payangan to not function properly, requiring a new conceptual model of governance and institutions based on the construction of reality, social networks, and path-dependent development within the realm of the science of administration, or New Institutional Administrations (NIA), as a development and critique of the first-level institution or embeddedness proposed by Williamson, which has economic dimensions or New Institutional Economics (NIE).

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Intermodal transportation hub location optimization with governments subsidies under the Belt and Road Initiative

Wang²,

Wang³

et al. 2023

Ocean & Coastal Management

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Structural and Logical Model of Transport Maritime Functioning Based on Modeling Information Technology

Cited by 4 publications

References 22 publications

Surface Water Salinity Evaluation and Identification for Using Remote Sensing Data and Machine Learning Approach

Surface Water Salinity Evaluation and Identification for Using Remote Sensing Data and Machine Learning Approach

Paradigm Of New Institutional Administrations in The Governance and Institutionalization of Marine Tourism in Payangan, Indonesia

Intermodal transportation hub location optimization with governments subsidies under the Belt and Road Initiative

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