Lecture Notes in Networks and Systems

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Lecture Notes in Networks and Systems

Vol. 15. Springer, 2018.

Under the general editorship: J. Kacprzyk

The series “Lecture Notes in Networks and Systems” publishes the latest develop- ments in Networks and Systems—quickly, informally and with high quality. Original research reported in proceedings and post-proceedings represents the core of LNNS.

Volumes published in LNNS embrace all aspects and subfields of, as well as new challenges in, Networks and Systems.

The series contains proceedings and edited volumes in systems and networks, spanning the areas of Cyber-Physical Systems, Autonomous Systems, Sensor Networks, Control Systems, Energy Systems, Automotive Systems, Biological Systems, Vehicular Networking and Connected Vehicles, Aerospace Systems, Automation, Manufacturing, Smart Grids, Nonlinear Systems, Power Systems, Robotics, Social Systems, Economic Systems and other. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution and exposure which enable both a wide and rapid dissemination of research output.

The series covers the theory, applications, and perspectives on the state of the art and future developments relevant to systems and networks, decision making, control, complex processes and related areas, as embedded in the fields of interdisciplinary and applied sciences, engineering, computer science, physics, economics, social, and life sciences, as well as the paradigms and methodologies behind them.

A credit risk model based on contour subspaces for decision support systems in loan granting

Romanyuk K., , in: Lecture Notes in Networks and SystemsVol. 15.: Springer, 2018. P. 783–793.

Credit risk management is of considerable importance for banks, and the most common credit risk models are based on combining client’s private information with credit terms. However, if credit terms are an integral part of initial calculations, then results have to be recalculated for every alteration of credit terms. Thus, banks obtain ‘one-shot’ results from ...

Added: November 19, 2017

Language: English

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Cambodia's Policy on the Artificial Intelligence: Determinants, Directions, Interim Outcomes

Kanaev E., Southeast Asia: Actual Problems of Development 2026 Vol. 1 No. 1(70) P. 153–163

The article aims to specify the degree of success Cambodia has been able to achieve in developing its Artificial Intelligence (AI) ecosystem seen through the prism of the state of the country’s non-digital assets as an outcome of its economic modernization, as well as of its digital projects and initiatives. Outlining the specifics of Cambodia’s ...

Added: July 30, 2026

ASEAN and the Resolution of the South China Sea Issue: Assessing Digital Limitations

Kanaev E., Southeast Asia: Actual Problems of Development 2026 Vol. 2 No. 2(71) P. 11–22

The author focuses on a strengthening digital component in the evolution of the South China Sea issue in the context of ASEAN’s evolving approach to the deepening contradictions and its policy in the digital field. On outlining ASEAN’s policy on the South China Sea issue, the author proceeds to exploring the digital agenda of ASEAN’s ...

Added: July 30, 2026

The Evolution Of Law Concept Of Information: From Philosophical Abstraction To Quantum Information And Cryptography In The Context Of Growing Cyber Threats And The Transition To Post-Quantum Security Method

Polyakov S., Smeshkova L., Lapin V. et al., Veredas do Direito 2026 Vol. 23 No. 11 Article e237531

The article examines the significant transformation of the concept of information and its impact on modern security technologies. Until the middle of the 20th century, the concept of information was considered as a philosophical category related to the transfer of knowledge and meaning. With the advent of Claude Shannon's communication theory, information was reinterpreted as ...

Added: July 27, 2026

Ответственность за вред, причиненный с использованием технологии искусственного интеллекта: проблемы и перспективы европейской гармонизации

Степанов С. К., Иноземцев М. И., Закон 2026 № 7 С. 193–203

In 2022, the European Commission introduced a draft directive on liability for harm caused through the use of artificial intelligence systems. The hallmark of the proposal lies in its decision to retain a fault-based liability regime, even when harm arises in connection with the deployment of AI technologies. The draft further includes several procedural mechanisms ...

Added: July 27, 2026

Проникновение искусственного интеллекта в жизненный цикл разработки программного обеспечения: эмпирический анализ рынка труда

Stoyanova O., Окусков И. С., Бизнес-информатика 2026 Т. 20 № 2 С. 81–93

The integration of artificial intelligence (AI) into information technologies is reshaping competency requirements for IT specialists. However, AI competency penetration into the early phases of the Software Development Life Cycle (SDLC) – requirements analysis and planning – remains underexplored. Existing studies either rely on static competency models lacking empirical validation or analyze the labor market ...

Added: July 5, 2026

Правовые аспекты обработки синтетических данных

Лескина Э. И., Вестник Воронежского государственного университета. Серия: Право 2026 Т. 65 № 2 С. 100–111

Society increasingly relies on generative artificial intelligence models, which are used in many areas and have become an integral part of the lives of various social groups. The exponential growth of data, however, cannot meet the ever-growing demand for training artificial intelligence models. A relatively new way to overcome the shortage of training data is ...

Added: July 2, 2026

Искусственный интеллект как институциональный вызов: диагностика дисфункций системы образования и науки и возможные регуляторные ответы

Капитонов И. А., Москвитин О. А., Современное профессиональное образование 2026 № 5 С. 55–57

В статье рассматривается проблема институциональной неготовности российской системы образования и науки к массовому распространению генеративного искусственного интеллекта. Авторы фиксируют парадоксальную асимметрию: студенты и аспиранты активно применяют ИИ для делегирования текстопроизводства, тогда как научно-педагогические работники в большинстве своём не используют его как исследовательский инструмент. Показано, что в основе этой асимметрии лежит не «злой умысел» участников, а ...

Added: June 23, 2026

Социальное программирование как методологический инструмент сетевой самоорганизации: проблемы и тенденции (материалы «круглого стола»)

Pruzhinin B. I., Afanasov N., Буданов В. Г. et al., Вопросы философии 2026 № 5 С. 5–35

In December 2025, the Institute of Philosophy of the Russian Academy of Sciences hosted an international roundtable on the topic “Social Programming as a Methodological Tool of Network Self-Organization: Problems and Trends”. The roundtable was organized by the journal “Voprosy Filosofii” and representatives of the research project No. 25-28-00707, “Social Programming as a Problem of Network ...

Added: June 18, 2026

Сетевой анализ гиперссылок: методологические возможности изучения партнерств в сфере искусственного интеллекта

Barkhatova L., Социологические исследования 2026 № 5 С. 71–83

The article conceptualizes the methodological potential of hyperlink network analysis as a tool of empirical reconstruction of social interaction through digital traces. Using the partnership network of Russia’s artificial intelligence (AI) ecosystem as a case, the paper presents an original analytical framework for translating technical hyperlink data into sociological categories. The study describes a full ...

Added: June 12, 2026

Artificial intelligence and digital twins for failure prediction in data center cooling systems: a comprehensive literature review (2018–2026)

Butorova A., Bobakov V., Sergeev A. et al., European Physical Journal: Special Topics 2026 P. 1–19

This paper presents a review of artificial intelligence (AI) methods for failure prediction in data center cooling systems, with a focus on the integration of digital twins (DTs), physics-informed learning, and graph-based models. Positioned within complex network science, this review addresses a limitation of conventional graph approaches—their reliance on pairwise connectivity—whereas real-world failures often arise ...

Added: June 10, 2026

Edge AI Approach to Stray Cat Detection in Urban Environments

Orazmetova Dilara, Zhohov A., Vasilieva Sofia et al., , in: 2026 28th International Conference on Digital Signal Processing and its Applications (DSPA).: IEEE, 2026. P. 1–5.

The article presents a software-hardware approach for an intelligent camera trap designed for the automatic detection of stray animals in a video stream using digital image processing methods and neural network algorithms implemented on an embedded computing platform. The system architecture, video signal processing algorithms, features of adapting a neural network model to conditions of ...

Added: June 7, 2026

Proceedings of the 43rd International Conference on Machine Learning (ICML 2026)

Seul: PMLR, 2026.

Added: June 4, 2026

Государственные информационные системы «Антикартель» и «Тариф» как инструменты защиты конкуренции и обеспечения обоснованного тарифообразования в цифровую эпоху

Москвитин О. А., Лебединский В. И., В кн.: Цифровое общество: состояние, проблемы, перспективы.: [б.и.], 2026.

В статье анализируются правовые и организационные основы функционирования государственных информационных систем «Антикартель» и «ТАРИФ», созданных Федеральной антимонопольной службой России в рамках цифровой трансформации контрольно-надзорной деятельности. Исследуются возможности использования технологий искусственного интеллекта для выявления антиконкурентных соглашений и обеспечения эффективного тарифного регулирования. Выявляются отдельные возможные правовые риски и направления совершенствования использования ГИС. ...

Added: June 2, 2026

Социально-психологические факторы доверия искусственному интеллекту: состояние исследований

Samoilov O., Tatarko A., Вопросы теоретической экономики 2026 № 2 С. 209–228

The article presents a theoretical review of literature from the last ten years devoted to the analysis of socio-psychological factors of trust in artificial intelligence. The widespread adoption of automated artificial intelligence systems, which is associated with expected economic growth, reduced resource costs, and the optimization of various work processes, often faces user distrust in ...

Added: May 21, 2026

Влияет ли финансовое состояние компаний на прогностическую точность DCF-модели?

Федоров Н. С., Финансовый журнал 2025 Т. 17 № 6 С. 99–112

The DCF model is one of the most commonly used models in valuing companies for investment deci sions. Nevertheless, estimating the accuracy of this model remains an important research question. This article presents an assessment of the accuracy of DCF model specifications based on analyzing the variance of fair share prices of companies listed on ...

Added: May 15, 2026

Предсказательная точность целевых цен акций: сравнение прогнозов аналитиков и машинного обучения

Федоров Н. С., Финансы и бизнес 2025 Т. 21 № 3 С. 34–50

Currently, the role of artificial intelligence is increasingly playing a significant role in various fields, including the increasing role of machine learning in finance. On the other hand, company valuation remains an important part of research due to its difficulty in correctly predicting the accuracy of target stock prices. This study provides an analysis of ...

Added: May 15, 2026

Сборник лучших докладов конференции "Ломоносовские чтения" (2025)

М.: Экономический факультет МГУ им. М.В. Ломоносова, 2026.

В сборнике приводятся тексты лучших докладов участников Международной ежегодной научной конференции «Ломоносовские чтения-2025» (секция экономи ческих наук) «Настоящее и будущее социально-экономического развития: потен циал ИИ и новые вызовы», состоявшейся 9–11 апреля 2025 г. на экономическом факультете МГУ имени М. В. Ломоносова. Материалы сгруппированы по тематическим направлениям. ...

Added: May 12, 2026

Правовой режим объектов, созданных искусственным интеллектом: обзор зарубежной практики

Kirsanova E., Pakshin P., Право и экономика 2026 № 3 (456) С. 26–34

The article examines the legal regime of intellectual property created by artificial intelligence. Changes to the existing legal framework towards recognizing artificial intelligence as a legal entity would violate the rationale and fundamental principles of the intellectual property rights system. This article provides an overview of different views on the rationale for granting copyright to ...

Added: April 28, 2026

Intelligent Interfaces and Systems for Human-Computer Interaction

Karpov A., Dvoynikova A., Ryumina E., , in: Lecture Notes in Networks and SystemsVol. 776.: Springer, 2023. P. 3–13.

Abstract. The paper presents a brief review of intelligent interfaces and systems of human-machine interaction. To date, few intelligent interfaces and systems are used in various areas of industry. All the systems of human-machine interaction can be divided into intelligent synthesis and analysis systems. Intelligent synthesis implies the presentation of information from the system to ...

Added: April 25, 2026