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.
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.
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.
There is no doubt that modern economy will change under the influence of digital technologies. This fact stipulates for the analysis of the possibilities of using new technologies in economic practice, as well as the consequences of this process. In this chapter, the authors show how digital technologies contribute to the harmonization of economic interests at the micro and macro levels and maximize the benefits. The purpose of this chapter is to try to assess the advantages and challenges of introducing digital technologies based on avatars using blockchain technology in various areas of the economy. This approach is the theoretical basis for the development of economic solutions for the implementation of public policy on the development of digital economy.
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.
The purpose of this chapter is to discuss the development of the tools for cloud services, which allow to organize mass production of multimedia interactive online services of the Real Estate for consumers from around the world, based on stereo and 3D-content and on the organizational model where content (text, pictures, video, animation, tests, etc.) are prepared by professionals from Penza State University, Russian State University for Tourism and Services and HHH University, and the automated assembly output, including its localization (translation) to other languages with the aim of exporting them via the Internet, provides the instrumental software package of Multimedia Technologies Ltd. The E-Systems is using in the academic master's program, developed by the Russian State University for Tourism and Service.
The problem of automated development of learning applications based on the three-dimensional graphics and having the property of adaptability is important when addressing a number of issues related to e-learning. Effective solution of this problem will provide some benefits to organizations that use in their work or provide e-learning technologies. This article describes the main benefits of using a common approach and tools to design learning applications for use in e-learning and based on the three-dimensional graphics and properties of adaptability. The existing software systems and technologies, which can be used for these purposes, are considered; their shortcomings are revealed. Methods for authoring three-dimensional adaptive applications that do not have the disadvantages of existing systems are suggested. The technology of modeling variability underlying the most important component functionality is proposed. The structure of the proposed system is considered.
Digital models are needed in medicine using bioinformatics for diagnosis and prediction. Such models are especially needed in personalized medicine using bioinformatics. 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 appeared - predictive medicine using bioinformatics. Predictive medicine, or “in silico medicine” is the use of computer modelling 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 using bioinformatics. 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.