Avatar-Based Control, Estimation, Communications, and Development of Neuron Multi-Functional Technology Platforms - Hardcover

Hardcover

ISBN 10: 1799815811 ISBN 13: 9781799815815

Verlag: Engineering Science Reference, 2019

Inhaltsangabe

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.

Über diesen Titel

Über die Autorin bzw. den Autor

Vardan Mkrttchian received his Doctorate of Sciences (Engineering) in Control Systems from Lomonosov Moscow State University (former USSR). Dr. Vardan Mkrttchian taught undergraduate and graduate information and control system courses at the Astrakhan State University (Russian Federation) science 2010, where he is the Professor of the Information and Control Systems Department (www.aspu.ru). He is currently chief executive and rector and leader of the international academic scientist's team of HHH University, Australia. He also serves as executive director of the HHH Technology Incorporation. Professor Vardan Mkrttchian has authored over 300 refereed publications. He is the author of over twenty books in information technology, control system theory, electronics, and cloud and virtual education technology. He also has authored more than 150 articles published in various conference proceedings and journals.

Ekaterina Aleshina graduated from Penza State Pedagogical University, the Faculty of Foreign Languages with English as a major and German as a minor (Philology), getting qualifications of a teacher of English and German. E. Aleshina got her PhD in History from the above university in 2006 followed by the title of associate professor in 2008. In 2009-2010, E. Aleshina was doing Fulbright Faculty Development Program in Southern Connecticut State University (USA). While in the USA, she was invited as guest speaker to several universities and high schools. In 2010-2014, E. Aleshina was head of department of English and English Language Teaching Methodology at Penza State Pedagogical University, now she is head of department of Foreign Languages and FLT Methodology at Penza State University. Currently, E. Aleshina is doing her doctoral research in the specificity of political communication at Moscow Pedagogical State University. She has authored about 50 publication featuring interdisciplinary issues and approaches.

Details zur Ausgabe

• Verlag: Engineering Science Reference
• Erscheinungsdatum: 2019
• Sprache: Englisch
• ISBN 10: 1799815811
• ISBN 13: 9781799815815
• Einband: Tapa dura
• Anzahl der Seiten: 388
• Herausgeber: Aleshina Ekaterina, Gamidullaeva Leyla, Mkrttchian Vardan
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: gpsr@libri.de; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Deutschland