图书简介
Evolving technological advancements in big data, smartphone and mobile software applications, the Internet of Things and a vast range of application areas in all sorts of human activities and professions, lead current research toward the efficient incorporation of artificial intelligence enhancements into software and the empowerment of software with artificial intelligence.The book at hand, devoted to Smart Software Applications in Cyber-Physical Systems, constitutes the second volume of a two-volume Handbook on Artificial Intelligence-empowered Applied Software Engineering. Topics include very significant advances in Smart Software Applications in (i) Scientific Document Processing, (ii) Enterprise Modeling, (iii) Education, (iv) Health care and Medicine, and (v) Infrastructure Monitoring.Professors, researchers, scientists, engineers, and students in artificial intelligence, software engineering, and computer science-related disciplines are expected to benefit from it, along with interested readers from other disciplines.
Editorial Note.- Part I: Smart Software Applications in Scientific Document Processing.- Detection, Extraction and SPN Representation of Pseudo-Algorithms in Scientific Documents.- A Recommender Engine for Scientific Paper Peer-Reviewing System.- Part II: Smart Software Applications in Enteprise Modeling.- Visualization of Digital-Enhanced Enterprise Modeling.- Know-linking: When Aachine Learning Meets Organizational Tools Analysis to Generate Shared Knowledge in Large Companies.- Changes in Human Resources Management with Artificial Intelligence.- Part III: Smart Software Applications in Education.- Promoting Reading Among Teens: Analyzing the Emotional Preferences of Teenage Readers.- A Multi-Institutional Analysis of CS1 Students’ Common Misconceptions of Key Programming Concepts.- Part IV: Smart Software Applications in Healthcare and Medicine.- Clustering-based Scaling for Healthcare Data.- Normative and Fuzzy components of Medical AI Applications.- Part V: Smart Software Applications in Infrastructure Monitoring.- Adaptive Structural Learning of Deep Belief Network and its Application to Real Time Crack Detection of Concrete Structure using Drone.
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