Browsing Faculty Contributions by Subject "Machine-learning"
Now showing items 1-5 of 5
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An Overview of Deep Learning Methods Used in Vibration-Based Damage Detection in Civil Engineering
( Springer , 2022 , Conference Paper)This paper presents a brief overview of vibration-based damage identification studies based on Deep Learning (DL) in civil engineering structures. The presence, type, size, and propagation of structural damage on civil ... -
Power Generation Voting Prediction Model of Floating Photovoltaic System
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)Solar energy is the most promising renewable energy within the Gulf area as annual solar irradiance is among the highest in the world (>2000kWh/m2). Therefore, countries within the Gulf area have focused their energy ... -
Structural Damage Detection in Civil Engineering with Machine Learning: Current State of the Art
( Springer , 2022 , Conference Paper)This paper presents a brief overview of vibration-based structural damage detection studies that are based on machine learning (ML) in civil engineering structures. The review includes both parametric and nonparametric ... -
TRUST XAI: Model-Agnostic Explanations for AI With a Case Study on IIoT Security
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Despite AI’s significant growth, its “black box" nature creates challenges in generating adequate trust. Thus, it is seldom utilized as a standalone unit in IoT high-risk applications, such as critical ... -
Using machine learning to analyze the impact of coronavirus pandemic news on the stock markets in GCC countries
( Elsevier , 2022 , Article)COVID-19 has resulted in high volatility in financial markets across the world. The goal of this study is to investigate the impact of COVID-19-related news on the stock markets in Gulf Cooperation Council (GCC) countries. ...