This paper discusses a mathematical model for establishing a single digital logistics platform as a link between all participants in the added-value creation chain, including producers, resource and services suppliers...
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The statement of the basic control problem of a situation with many active stakeholders using cognitive maps is presented. Approaches to the analysis and resolution of interest conflicts in such situations based on th...
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The paper deals with complementary changes in scientific research and real economy (exemplified by the farming industry) taking place when using the holistic approach to the industry”s digital transformation resultin...
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ISBN:
(数字)9798350375718
ISBN:
(纸本)9798350375725
The paper deals with complementary changes in scientific research and real economy (exemplified by the farming industry) taking place when using the holistic approach to the industry”s digital transformation resulting in the appearance of precise agrarian technologies that require a comprehensive., system-based combination of research and production resources that are able to ensure increased productivity in the industry. We demonstrate that among these new technologies, the artificial intelligence methods have a special significance. They have to, however, go through integration transformations to become standards for the proposed common digital farming management platform.
Semi-supervised learning (SSL) is a successful paradigm that can use unlabelled data to alleviate the labelling cost problem in supervised learning. However, the excellent performance brought by SSL does not transfer ...
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The paper considers a mathematical model for managing a scientific digital ecosystem exemplified by the agriculture case; the model enables assessing the impact science exerts on the regions’ socioeconomic position i...
The paper considers a mathematical model for managing a scientific digital ecosystem exemplified by the agriculture case; the model enables assessing the impact science exerts on the regions’ socioeconomic position in order to build an adequate response to the advanced economies’ regime of severe sanctions against Russia. For these purposes, a systemic analysis of the subject identification and classification of ecosystems was conducted to address the critical issue of determining the basic concepts and terms of the country’s digitalization.
The paper addresses the state and development trends of Earth remote sensing technologies, which currently are becoming one of the main tools of accelerating the development of precision farming technologies and techn...
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This work presents the original proprietary mathematical model for interregional agricultural holding management relying on the harmonized digital platform of the Russian agrarian sector that allows conceiving the gen...
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The paper describes the modern control (governance, management) science approach to the socioeconomic development of a country’s region (province, subject, municipality) in the context of public administration. Prove...
The paper describes the modern control (governance, management) science approach to the socioeconomic development of a country’s region (province, subject, municipality) in the context of public administration. Proven methods for strategic goal setting, scenario and economic modelling with artificial intelligence support based on opportunity assessing and system optimisation are presented. The region is given as an integrated object for control. Strategic planning uses hierarchy analysis methods. The experience of scenario modelling, evaluation, and selection of priority scenarios of the region’s socioeconomic development with estimating the current economic indicators of the region is represented. The deep learning approach and big data analysis help to verify and automatically create scenario models under team members’ control. The proposed methodology has a significant approbation in the real sector of the economy.
Random feature (RF) has been widely used for node consistency in decentralized kernel ridge regression (KRR). Currently, the consistency is guaranteed by imposing constraints on coefficients of features, necessitating...
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Ridgeless regression has garnered attention among researchers, particularly in light of the "Benign Overfitting" phenomenon, where models interpolating noisy samples demonstrate robust generalization. Howeve...
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