An exponential chaotic differential evolution algorithm for optimizing bridge maintenance plans

EM Abdelkader, O Moselhi, M Marzouk… - Automation in …, 2022 - Elsevier
Bridges are one of the fundamental infrastructure assets that are vital for economic growth
and public welfare. Over the past few decades, the numbers of deteriorating bridges have …

Entropy-based automated method for detection and assessment of spalling severities in reinforced concrete bridges

E Mohammed Abdelkader, O Moselhi… - … of Performance of …, 2021 - ascelibrary.org
Existing bridges are aging and deteriorating rapidly, elevating concerns for public safety and
preservation of these valuable assets. Large numbers of bridges exist in transportation …

Assessing seismic reliability & feature importance of steel jacket type offshore platforms using CatBoost algorithm

H Rahman Shokrgozar, A Rashid - Ships and Offshore Structures, 2024 - Taylor & Francis
Predicting the vulnerability and failure probability of steel jacket-type offshore platforms
(SJTOPs) during earthquakes is challenging due to uncertainties in structural, soil and …

A climate-driven model for predicting the level of Vibrio parahaemolyticus in oysters harvested from Taiwanese farms using elastic net regularized regression

N Ndraha, HI Hsiao - Microbial Risk Analysis, 2022 - Elsevier
This study aimed at, and developed, a climate-driven model for predicting the abundance of
V. parahaemolyticus in oysters based on the local climatological and environmental …

[HTML][HTML] Anomaly detection in photovoltaic production factories via Monte Carlo pre-processed principal component analysis

E Arena, A Corsini, R Ferulano, DA Iuvara, ES Miele… - Energies, 2021 - mdpi.com
This paper investigates a use case of robust anomaly detection applied to the scenario of a
photovoltaic production factory—namely, Enel Green Power's 3SUN solar cell production …

Uncertainty Quantification of the ONERA 7A Rotor Performance and Loads Using Comprehensive Analysis

M Khurana, IS El Din, H Yeo - Journal of Aircraft, 2023 - arc.aiaa.org
Quantification of blade stiffness uncertainties and sensitivities on rotor power and structural
loads for the ONERA 7A rotor is established using the US Army and ONERA rotorcraft …

[HTML][HTML] Novel Bayesian Inference-Based Approach for the Uncertainty Characterization of Zhang's Camera Calibration Method

R Gutiérrez-Moizant, MJL Boada… - Sensors, 2023 - mdpi.com
Camera calibration is necessary for many machine vision applications. The calibration
methods are based on linear or non-linear optimization techniques that aim to find the best …

An invasive weed optimization-based fuzzy decision-making framework for bridge intervention prioritization in element and network levels

EM Abdelkader, M Marzouk, T Zayed - International Journal of …, 2020 - World Scientific
Recently, the number of deteriorating bridges has drastically increased. Furthermore, tight
maintenance budgets are cut down, imposing escalating adverse implications on the safety …

Uncertainty Quantification of Tiltrotor Download Prediction

M Khurana, B Jayaraman, AM Wissink… - AIAA SCITECH 2023 …, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-0809. vid Light winds can have a
significant impact on hover performance. In this paper, the uncertainty in atmospheric wind …

[PDF][PDF] Innovative Data Analytics Systems and Business Applications for Smart Cities and Factories

NA Sulieman - 2022 - iris.unime.it
In the last years, data analytics has become an essential business process for any company;
and smart services started to have a crucial role in the market for ensuring smooth business …