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Full Description
This proceeding edited by Prof. Khalil Abdelmawgoud and Prof. Abdul Ghani Olabi contains articles that were presented at the International Symposium on Engineering and Business Administration that was held at the University of Sharjah between the 10th and the 12th of April 2021 and reflects recent achievements in the fields of engineering and design. The purpose of the Symposium was to provide a forum for both researchers and practitioners around the world to present papers on recent developments in the fields of engineering, design, manufacturing and related topics.
Contents
Preface
Chapter 1: Water Treatment
Processing and Characterization of UAE Clay Ceramic Membranes for Water Treatment Applications
Processing of Carbon Nanofibers with Graphene Oxide and Carbon Nanotubes Additives and its Application in CDI Electrode Material
Capacitive Deionization Water Desalination Technology, Process Optimization and Cost Analysis - A Review
Chapter 2: Construction Technologies
Prediction of Concrete Modulus of Elasticity Using Deep Learning
Termite as Biomimicry Solution for Enhancing Building Envelope: A Comparative Model Case Study in the UAE
3D Finite Element Modeling of Suction Caissons Used as Foundations for Offshore Wind Turbines in Clayey Soils
Chapter 3: Business Administration and Engineering Management
Sustainable Performance Measurement: An Application to the U.S. Car Industry
The Effect of Mergers and Acquisitions on Efficiency: Evidence from the Pharmaceutical Industry
Performance Measurement of Airports Incorporating Employees' and Customers' Perspectives
Efficiency Measurement of the Colleges at the University of Sharjah
Predicting Employee Voice Behavior: Exploring the Roles of Empowering Leadership, LMX and the Mediation Effect of Psychological Empowerment
Religiosity, Brand Image, and Behavioral Intention: An Investigation for Halal Restaurant
Determinants of Employee Creativity: The Mediating Role of Employee Happiness
A Methodology for Safety Inspection Analysis Based on Risk Insight and Defense-in-Depth Concept for APR1400 Nuclear Power Plant
Chapter 4: Transportation Processes and Traffic Safety
Assessment of Drowsy Driving Associated Characteristics Using Deep Learning
Modeling Crash Frequency Using Crash and Geometric Data at Freeways
Predicting Traffic Accidents Severity Using Multiple Analytical Techniques
Modeling Lane-Choice Behavior and Public Willingness to Pay for HOT Lanes: A Neural Network Approach
