Tech Horizons : Unveiling Future Technologies / / edited by Azman Ismail, Fatin Nur Zulkipli, Husna Sarirah Husin, Andreas Öchsner

• Record Nr.: UNINA9910878056403321
• Autore: Ismail Azman
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
• ISBN: 9783031633263; 9783031633256
• Edizione: [1st ed. 2024.]
• Descrizione fisica: 1 online resource (128 pages)
• Collana: SpringerBriefs in Applied Sciences and Technology, , 2191-5318
• Altri autori (Persone): ZulkipliFatin Nur; HusinHusna Sarirah; ÖchsnerAndreas
• Disciplina: 620.0042
• Soggetti: Engineering design; Geotechnical engineering; Continuum mechanics; Diversity in the workplace; Engineering Design; Geotechnical Engineering and Applied Earth Sciences; Continuum Mechanics; Diversity Management and Women in Business
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: 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.
• Sommario/riassunto: 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.