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Kategorie szczegółowe BISAC

Ecosystems and Technology: Idea Generation and Content Model Processing

ISBN-13: 9781774636817 / Angielski / Miękka / 2021 / 282 str.

Cyrus F. Nourani
Ecosystems and Technology: Idea Generation and Content Model Processing Cyrus F. Nourani 9781774636817 Apple Academic Press - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Ecosystems and Technology: Idea Generation and Content Model Processing

ISBN-13: 9781774636817 / Angielski / Miękka / 2021 / 282 str.

Cyrus F. Nourani
cena 402,32
(netto: 383,16 VAT:  5%)

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Ecosystems and Technology: Idea Generation and Content Model Processing presents important new innovations in the area of management and computing. Innovation is the generation and application of new ideas and skills to produce new products, processes, and services that improve economic and social prosperity. This includes manag

Kategorie:
Nauka, Ekonomia i biznes
Kategorie BISAC:
Business & Economics > Information Management
Computers > Software Development & Engineering - General
Social Science > General
Wydawca:
Apple Academic Press
Seria wydawnicza:
Innovation Management and Computing
Język:
Angielski
ISBN-13:
9781774636817
Rok wydania:
2021
Numer serii:
000799295
Ilość stron:
282
Oprawa:
Miękka
Wolumenów:
01

Technology Selection for Software Startups. Innovation Ecosystems and Technology. Self-Organizing Coordination and Control Approaches: The Impact of Social Norms on Self-Regulated Innovation Activities in Self-Managing Teams. Digital Opportunities for First-Year University Students’ Motivational Enhancement. Building a Successful Innovation Platform for Affordable Medical Technology in Low Resource Settings. Soft-Factors Enabling Innovation. IoT and M.E.S.: Are You Ready for the Next Industrial Revolution?. A Structured Process to Generate Ideas in Med Tech. Logic-Based Medicine versus Evidence-Based Medicine for Modeling Qualified-Self Health Kits. Virtual Mobile Interfaces, Business Intelligence, and Analytics Content Processing. A Haptic Computing basis for Facial or Visual Emotion Expression Recognition.

Dr. Cyrus F. Nourani has a national and international reputation in computer science, artificial intelligence, mathematics, virtual haptic computation, information technology, predictive analytics, economics game models, decision trees, and management sciences. He has many years of experience in the design and implementation of computing systems. Dr. Nourani’s academic experience includes faculty positions at the University of Michigan-Ann Arbor, the University of Pennsylvania, the University of Southern California, UCLA, MIT, and the University of California, Santa Barbara. He was a Visiting Professor at Edith Cowan University, Perth, Australia, and a Lecturer of Management Science and IT at the University of Auckland, New Zealand.  His more recent years’ engagements are research professor at SFU Burnaby, British Columbia, Canada, and TU Berlin, Germany.



Dr. Nourani commenced his university degrees at MIT where he became interested in algebraic semantics. That was pursued with a category theorist at the University of California. Dr. Nourani’s dissertation on computing models and categories proved to have novel mathematical foundations developments that were published from his postdoctoral times on at AMS, ASL, and European Mathematics circles. He has taught AI to the Los Angeles aerospace industry and has authored many R&D and commercial ventures. He has written and co-authored several books. He has over 400 publications in management sciences, pure mathematics, and computer science and has written on additional topics, such as AI, EC, decision trees, predictive economics game modeling. In 1987, he founded Ventures for computing R&D. He began independent consulting with clients such as System Development Corporation (SDC), the US Air Force Space Division, and GE Aerospace. Dr. Nourani has designed and developed AI robot planning and reasoning systems at Northrop Research and Technology Center, Palos Verdes, California. He also has comparable AI, software, and computing foundations and R&D experience at GTE Research Labs .He has written over 15 invention disclosures on the above areas.



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