The Method of Interaction Modeling on Basis of Deep Learning the Neural Networks in Complex It-Projects

Morozov, Viktor; Kalnichenko, Olena; Mezentseva, Olga

doi:10.47839/ijc.19.1.1697

Cited by 18 publications

(3 citation statements)

References 12 publications

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“…EA can be used to prevent or minimize adverse impacts, while helping project-oriented organizations assess the real potential of their resources, maximizing the benefits of planned activities [6,7]. This is a process that can: change and improve the project of the planned activity; ensure efficient use of resources; to improve the social aspects of the planned activity; identify monitoring and impact management measures; to promote the adoption of sound decisions.…”

Section: Formulation Of the Problemmentioning

confidence: 99%

Environmental Impact Assessment as Part of the Feasibility Study of Projects

Kolesnikov,

Olekh,

Obenewaa

2021

HAIT

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The tasks of environmental assessment of projects are to determine quantitative criteria for decision-making on the admissibility or inadmissibility of the project, to ensure the choice of options and types of planned economic activities with the lowest environmental and social costs, to obtain quantitative criteria for assessing the effectiveness of environmental measures. project implementation. Environmental assessment accompanies all stages of the project-investment cycle. One of the main principles of evaluating the effectiveness of projects is the inclusion of environmental results and costs in the cash flows that are taken into account in the analysis of the project. According to the traditional cost-benefit economic analysis, a project is considered effective and feasible if the benefits outweigh the costs. The paper presents modified methods of expert and environmental assessment that accompany all stages of the project-investment cycle of the project. The authors propose harmonization of approaches to environmental impact assessment, which are used in national and world practice. The methodology is shown, whichis aimed at generalizing the Ukrainian and international experience in EIA and specifying the evaluation criteria. Developed and proposed methodological aspects of environmental impact assessment can be used to develop a final EIA. The study describes a comprehensive impact assessment for any components of the environment. The proposed criteria allow us to draw specific conclusions on the assessment of the impact on each environment, which is a priority in the environmental assessment.

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Section: Formulation Of the Problemmentioning

confidence: 99%

Environmental Impact Assessment as Part of the Feasibility Study of Projects

Kolesnikov,

Olekh,

Obenewaa

2021

HAIT

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“…At the same time, the priority task for the development of startups in the development and implementation of modern integrated software applications is the availability of intelligent support that will allow optimizing costs [12] for such development and integration, as well as optimizing (reducing) the time for their development. This will dramatically affect the effectiveness of the development of an innovative IT product and becomes a top priority in modern market conditions.…”

Section: Introductionmentioning

confidence: 99%

Development of a model for evaluating the effectiveness of innovative startups based on information cycles and using neural networks

Morozov

Kolomiiets²,

Olga³

2021

IJEECS

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An integrated approach to the creation and development of innovative startup projects in the field of information technology is considered. To conduct research, the authors proposed a model of information cycles of startup projects based on the creation of an information model of such projects. At the same time there are dynamic processes of changes in the parameters of the model, which are turbulent in nature and require the use of tools and methods of artificial intelligence for research. The key areas of knowledge of such influence are defined. The mathematical model of processes of management of development of IT startups on the basis of creation and development of a difficult IT product, taking into account influences of environments of the project is constructed, the basic characteristics are allocated and parameters are defined. To do this, the construction of predictive models is proposed to be carried out by modified Demarc trends, the method of self-organization and the neural network. The modeling of the main objective functions of the mathematical model of these processes is performed. The analysis of the received results is carried out and the conclusions are made.

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“…To ensure a more adequate representation of the nature and degree of scientific activity by scientists, their personal contribution to the advancement of certain branches of science, further development of the technical component of scientometric bases and methodological evaluation base is required. The results of the application of the method that forms the information spaces of scientific activity subjects could be the basis for finding a solution to the multi-criteria problem of choosing potential scientific partners for cooperation [17,18], the development of competent principles for building scientific partnerships [19,20], the introduction of innovative scientific projects [21,22], etc.…”

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confidence: 99%

Development of the set models and a method to form information spaces of scientific activity subjects for the steady development of higher education establishments

Biloshchytskyi

Kuchansky

Andrashko

et al. 2021

EEJET

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This paper describes the basic conceptual apparatus required to form information spaces for scientific activity subjects. Multiple models have been built to identify collective and individual scientific activity subjects, including information on the subjects' publication citations, their abstracts, as well as their indicators in scientometric databases, etc. A conceptual scheme of interaction between collective and individual scientific activity subjects has been described, taking into consideration the dynamics of their productivity. A method has been proposed to form the information spaces for the collective and individual scientific activity subjects such as higher education establishments and scientists. The method involves a series of stages to identify and construct citation and scientific cooperation networks, to form subject scientific spaces, and, based on them, to devise methods in order to quantify productivity. The results of methods application form the components of the relevant information spaces of scientific activity subjects. The spaces to be built could be used to solve the task of selecting subjects for the implementation of joint scientific and educational projects. In addition, these spaces could be applied to form the organizational and functional framework of the collective scientific activity subjects, including their structural units, which would contribute to ensuring their stable development. Creating the information spaces of scientific activity subjects underlies resolving those issues that would stimulate investment in research and innovation, strengthen cooperation between universities, improve the efficiency and productivity of the scientific enterprise. It has been confirmed experimentally that the potential of a collective subject of scientific activity, including individual subjects, the rate of change of identifiers of whom is positive, would have a non-negative potential. A rate of change in the normalized indicators of identifiers of individual and collective scientific activity subjects has been calculated for the period from January 2019 to December 2020 for three higher education establishments

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The Method of Interaction Modeling on Basis of Deep Learning the Neural Networks in Complex It-Projects

Cited by 18 publications

References 12 publications

Environmental Impact Assessment as Part of the Feasibility Study of Projects

Environmental Impact Assessment as Part of the Feasibility Study of Projects

Development of a model for evaluating the effectiveness of innovative startups based on information cycles and using neural networks

Development of the set models and a method to form information spaces of scientific activity subjects for the steady development of higher education establishments

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