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List of publications on a keyword: «machine learning»

  • INDUSTRY 4.0 TECHNOLOGIES: MACHINE LEARNING AND THE CUSTOMER RELATIONSHIPS MANAGEMENT

    Proceeding
    The Topical Issues of the Humanities and Social Sciences: from Theory to Practice
    Author:
    Pavel V. Malyzhenkov
    Work direction:
    Содержание и технологии профессионального образования
    Abstract:
    The Fourth Industrial Revolution represents the latest transformation of means of production in the history of humanity. These innovations are built upon preceding technical progress, starting from the creation of the network itself, its evolution from static to social through the introduction of blogs, wikis, and web services, further enriching it with semantic data to facilitate inter-machine interaction, and culminating in its current state. This work provides an overview of the most interesting methods and approaches in applying artificial intelligence within Industry 4.0 to address the optimization of customer relationship management systems.
    Keywords:
    machine learning, CRM, Industry 4, enabling technologies
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  • Company’s value evaluation through modifying its capital structure with bonds and stocks issuance simulation using machine learning and statistical analysis approaches

    Proceeding
    Relevant issues of management, economics and economic security
    Authors:
    Daria I. Nazarova, Natalia S. Semina, Leonid R. Nikulin, Iuliia S. Tsertseil
    Work direction:
    Анализ и прогнозирование основных тенденций современной экономики на макро-, мезо- и микроуровне
    Abstract:
    The present financial landscape is complexly woven with the interplay of financial instruments and technologies, reshaping the way companies manage their value. Financial instruments act as the cornerstone of capital structure, influencing cash flows and overall valuation. Meanwhile, financial technologies introduce innovation and efficiency via presenting unprecedented capabilities in assessing and forecasting the impact of these instruments on a company's worth. The ability to make timely decisions on resource allocation and capital raising is a key determinant of success in a rapidly evolving business landscape. Thus, the financial sector undergoes transformative changes, reshaping how companies navigate complexities and make informed decisions in an increasingly dynamic environment. The symbiosis of these elements is reshaping the future of finance, offering new avenues for creating and managing value in an interconnected world.
    Keywords:
    machine learning, capital structure, securities, company value, simulation modeling, statistical analysis
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  • Bioheuristics: theory, algorithms and applications

    Book Chapter
    Bioheuristics: theory, algorithms and applications
    Authors:
    Sergei I. Rodzin, Iurii A. Skobtsov, Samer A. El'-Khatib
    Work direction:
    Авторская монография
    Abstract:
    The book examines the current state and problems of bioheuristics development, biographical and memetic algorithms, the issues of finding optimal solutions by trajectory algorithms and bioheuristics of multicriteria optimization. Ant and swarm bioheuristics, their features and modifications are presented. Hybrid formic and hypeuruistic swarm segmentation algorithms of complexly structured images are considered as applications. The monograph is interdisciplinary, it is addressed to masters and graduate students studying the theory and practice of creating intelligent information systems and technologies, as well as specialists in the theoretical foundations of computer science, software engineering, system analysis, information management and processing, information systems and processes, bioinformatics.
    Keywords:
    experiment, modeling, optimization, machine learning, bioheuristics, drift analysis, ant system, particle swarm, image segmentation, fitness function, evolutionary computation, NFL theorem
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