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Tech Horizons: Unveiling Future Technologies de Azman Ismail

Tech Horizons: Unveiling Future Technologies: SpringerBriefs in Applied Sciences and Technology

Editat de Azman Ismail, Fatin Nur Zulkipli, Husna Sarirah Husin, Andreas Öchsner
en Limba Engleză Paperback – sep 2024
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.
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Specificații

ISBN-13: 9783031633256
ISBN-10: 3031633253
Pagini: 200
Ilustrații: Approx. 200 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.2 kg
Ediția:2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria SpringerBriefs in Applied Sciences and Technology

Locul publicării:Cham, Switzerland

Cuprins

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.

Caracteristici

Explores cutting-edge technologies and applicable techniques Delves into a distinct aspect of innovation and its practical applications Provides an enthralling exploration of the diverse and transformative vistas