Mobile Platform for Decision Support System During Mutual Continuous Investment in Technology for Smart City

Akhmetov, Bakhytzhan; Balgabayeva, Lyazzat; Lakhno, Valeriy; Malyukov, Vladimir; Alenova, Raya; Tashimova, Anara

doi:10.1007/978-3-030-12072-6_59

Cited by 7 publications

(3 citation statements)

References 16 publications

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“…We also note that the approaches described by the authors of [19][20][21][22] do not make it possible to find effective recommendations and strategies for managing investments in IT enterprises. It is especially necessary to consider the multifactor nature of this problem and a rather large range of possible rational strategies, on which an investor needs to concentrate.…”

Section: Literature Review and Problem Statementmentioning

confidence: 98%

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Development of a model for decision support systems to control the process of investing in information technologies

Lakhno¹,

Malyukov²,

Мазур³

et al. 2020

EEJET

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Section: Literature Review and Problem Statementmentioning

confidence: 98%

“…The above process is considered as a part of the positional multi-step game scheme with complete information [22].…”

Section: A Model Based On the Theory Of Multi-step Quality Games For mentioning

confidence: 99%

Development of a model for decision support systems to control the process of investing in information technologies

Lakhno¹,

Malyukov²,

Мазур³

et al. 2020

EEJET

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“…The oldest publication meeting the search criteria dates back to 1992 (Shipley, MF).Another publication was not issued until 1999 (Milton-Smith, Schmidenberg, Klass, 1999). Both publications dealt with the subject of decision support systems which appeared in 3 other publications(Ibrahim, Sundgren, Larsson, 2014;Akhmetov et al, 2018; Zagrajek et al, 2023).…”

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confidence: 99%

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2023

SPSUTOM

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Artificial intelligence (AI) can be applied in various areas of crisis management. It can provide numerous benefits concerning speed, effectiveness and precision of actions. AI accelerates the process of massive amounts of data processing, such as sensor data, satellite images, social data streams and much more. This enables to make quick analysis of a situation and make quick decisions in order to monitor various sources of information in real-time and detect early signals of a crisis. Advanced algorithms can identify patterns and anomalies enabling a quick response. AI can be used to model various crisis scenarios based on available historical and current data. This way it is possible to predict the probable effects of a given crisis and prepare for various situations. AI can analyze social media data to monitor community sentiments, identify potential threats and manage crisis communication. Automatic sentiment analysis systems can help understand society's response to a crisis. Advanced AI systems can be used to predict human behavior in various crisis scenarios. This allows to understand better how people may react and what their needs are in a given time. AI can help detect and combat cyber attacks, which constitute a serious threat, especially when it is necessary to maintain critical infrastructures. Integrating AI into crisis management requires caution because decisions made by AI systems should be consistent with ethical standards and they must consider the human supervision and assessment of the crisis situation. Design/methodology/approach: The paper analyzes the AI methods applied during crises. The results of interviews conducted with students, teachers and authors' personal experiences are provided. Findings: AI is a new way of solving problems, especially during crises. The new technologies determine the way and the speed of problems solving. Originality/value: Originality based on the interviews and post-crisis (COVID) points of view are the value.

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A Study of a Trajectory Synthesis Method for a Cyclic Changeable Target in an Environment with Periodic Dynamics of Properties

Motorin

Popov

Glazunov

et al. 2019

Studies in Systems, Decision and Control

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Mobile Platform for Decision Support System During Mutual Continuous Investment in Technology for Smart City

Cited by 7 publications

References 16 publications

Development of a model for decision support systems to control the process of investing in information technologies

Development of a model for decision support systems to control the process of investing in information technologies

Untitled

A Study of a Trajectory Synthesis Method for a Cyclic Changeable Target in an Environment with Periodic Dynamics of Properties

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