Tech Horizons
Springer International Publishing (Verlag)
978-3-031-63325-6 (ISBN)
This book assembles a varied array of chapters, each delving into a distinct aspect of innovation and its practical applications. Readers will explore cutting-edge technologies and applicable techniques that aimed at enhancing academic performance. "Tech Horizon" provides an enthralling exploration of the diverse and transformative vistas within the domain of modern technology.
The Design and Development of a 2D Platform Narrative Digital Game: What Happened to Aubrey.- A Short Communication on the Application of MATLAB in Material Science.- Factors that Influence Sellers in Selection E-Marketplaces: A Systematic Literature Review.- Tax Data Analytics.- Digital Competence Assessment for Royal Malaysian Air Force Aircraft Maintenance Technicians.- IoT-Based Wearable Device for Position Tracking and Visualization.- Towards an Enterprise Architecture for Healthcare System and Information Technology: State of the Art and Future Trends.- A Regression Analysis for Predicting Student Academic Performance.- Bumiputera Owned Small and Medium Enterprise Family Business Succession Plan: A Review.- Using Data to Enhance Higher Education in the Age of IR 4.0: A Rapid Scoping Review.- Prediction Model of Cardiovascular Diseases Using ANFIS Sugeno.- The Smart Concept to Prosper the Community with the Development of Local Wisdom in The Banjar Institution.- Laser-Based Security Monitoring Alarm Triggered System in Industrial Application using IoT.- Short-Term PV Energy Prediction using Machine Learning Approach.- Insider Threat Prediction Techniques: A Systematic Review Paper.
| Erscheinungsdatum | 25.07.2024 |
|---|---|
| Reihe/Serie | SpringerBriefs in Applied Sciences and Technology |
| Zusatzinfo | VIII, 126 p. 31 illus., 27 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Technik ► Maschinenbau |
| Schlagworte | ANFIS Sugeno • Aubrey • Digital Competence Assessment • e-marketplaces • IR 4.0 • PV Energy Prediction • Tax Data Analytics |
| ISBN-10 | 3-031-63325-3 / 3031633253 |
| ISBN-13 | 978-3-031-63325-6 / 9783031633256 |
| Zustand | Neuware |
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