Competition in today’s global market offers strong motivation for the development of sophisticated tools within computer science. The neuron multi-functional technology platform is a developing field of study that regards the various interactive approaches that can be applied within this subject matter. As advancing technologies continue to emerge, managers and researchers need a compilation of research that discusses the advancements and specific implementations of these intelligent approaches with this platform.
Avatar-Based Control, Estimation, Communications, and Development of Neuron Multi-Functional Technology Platforms is a pivotal reference source that provides vital research on the application of artificial and natural approaches towards neuron-based programs. While highlighting topics such as natural intelligence, neurolinguistics, and smart data storage, this publication presents techniques, case studies, and methodologies that combine the use of intelligent artificial and natural approaches with optimization techniques for facing problems and combines many types of hardware and software with a variety of communication technologies to enable the development of innovative applications. This book is ideally designed for researchers, practitioners, scientists, field experts, professors, and students seeking current research on the optimization of avatar-based advancements in multifaceted technology systems.
Fierce competition in today's global market offers a powerful motivation for developing even more sophisticated and multi-functional technology tools. Implementing these specific techniques and strategies benefits global economics and contributes to the harmonization of economic interests at the micro- and macro-levels.
Avatar-Based Models, Tools, and Innovation in the Digital Economy is an essential reference source that provides a critical analysis of avatar-based models, tools, and neuro natural platforms and features developments in terms of the application of these theories and methodologies to the communication and socio-economic sphere. Featuring research on topics such as digital communications, economic development, and consumer management, this book is ideally designed for students, researchers, industry professionals, and academicians seeking coverage on combining the use of intelligence artificial and natural approaches to a variety of communication technologies.
The purpose of this chapter is to explore the integration of three new concepts—big data, internet of things, and internet signs—in the countries of the former Soviet Union. Further, the concept of big data is analyzed. The internet of things is analyzed. Information on semiotics is given, and it reduces to the notion of internet signs. Context concepts and the contribution of big data, internet of things, and internet of signs to contextual simplification are analyzed. The chapter briefly outlines some potential applications of the integration of these three concepts. The chapter briefly discusses the contribution of the study and gives some extensions. These applications included continuous monitoring of accounting data, continuous verification and validation, and use of big data, location information, and other data, for example, to control fraudsters in the countries of the former Soviet Union.
This chapter discusses the problems associated with the design of the business model in the new context of big data and the internet of things to create a research laboratory for studying and improving digital transformations. The development of business prospects for IOT is due to two main trends: 1) the change of focus from IOT viewing primarily as a technology platform for viewing it as a business ecosystem and 2) the transition from focusing on the business model in general to the development of business models of ecosystems. In the chapter, the business model of the ecosystem is considered as a model consisting of signs fixed in ecosystems and focuses on creating the cost of the laboratory and fixing the value of the ecosystem in which the created laboratory operates.
One of the most challenging obstacles for many businesses in successfully reaching a global market stems from cultural and language barriers and the lack of a clear understanding of this issue. It is critical for businesses to understand these cultural and language barriers and how to face them through effective communications and cultural sensitivity. The companies that will thrive and see the most success are the ones whose employees communicate and collaborate effectively with customers, suppliers, and partners all over the world.
Breaking Down Language and Cultural Barriers Through Contemporary Global Marketing Strategies provides both empirical and theoretical research focused on ways that business professionals and organizations are breaking down cultural and language barriers, integrating cultural sensitivity, and implementing cross-cultural management practices into their daily business practices. Featuring research on topics such as origin effects, consumption culture, and cross-cultural management, managers, consultants, academic researchers, practitioners, business educators, and advanced students in various disciplines will find the content within this publication to be beneficial.
Competition in today’s global market offers strong motivation for the development of sophisticated tools within computer science. The neuron multi-functional technology platform is a developing field of study that regards the various interactive approaches that can be applied within this subject matter. As advancing technologies continue to emerge, managers and researchers need a compilation of research that discusses the advancements and specific implementations of these intelligent approaches with this platform.
Competition in today’s global market offers strong motivation for the development of sophisticated tools within computer science. The neuron multi-functional technology platform is a developing field of study that regards the various interactive approaches that can be applied within this subject matter. As advancing technologies continue to emerge, managers and researchers need a compilation of research that discusses the advancements and specific implementations of these intelligent approaches with this platform.
The authors in this chapter show the essence, dignity, current state, and development prospects of avatar-based management using blockchain technology for improving implementation of economic solutions in the digital economy of Russia. The purpose of this chapter is not to review the existing published work on avatar-based models for policy advice, but to try an assessment of the merits and problems of avatar-based models as a solid basis for economic policy advice that is mainly based on the work and experience within the recently finished projects Triple H Avatar, an avatar-based software platform for HHH University, Sydney, Australia. The agenda of this project was to develop an avatar-based closed model with strong empirical grounding and micro-foundations that provides a uniform platform to address issues in different areas of digital economic and creating new tools to improve blockchain technology using the intelligent visualization techniques for big data analytic.
Digital models are needed in medicine for diagnosis and prediction. Such models are especially needed in personalized medicine. In this area, it is necessary to evaluate and predict the patient's condition from a priori knowledge obtained from other patients. Therefore, a new direction of predictive medicine appeared. Predictive medicine, or “in silicon medicine” is the use of computer modeling and intelligent technologies in the diagnosis, treatment, and prevention of diseases. Using predictive medicine, the doctor can determine the likelihood of the development of certain diseases and choose the optimal treatment. Predictive medicine begins to be applied in surgery. The prognosis in surgery consists in the preoperative evaluation of various surgical interventions and in the evaluation of possible outcomes of surgical interventions.
Данилова Валерия Александровна 
