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Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models
Published 2022“…These are compound-scaling based models proposed by Google that are pretrained on ImageNet and have an accuracy of 74% to 84% in top-1 over ImageNet. …”
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103
Envisioning Workforce Agility Through Embracing A Dynamic Capabilities Model
Published 2022“…The data was analyzed through a covariance-based approach to structural equation modeling (CB-SEM) using IBM SPSS-AMOS version 26. …”
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104
Site-Adaptation of Modeled Solar Radiation Data: The SiteAdapt Procedure
Published 2020“…This work presents a procedure for improving the accuracy of modeled solar irradiance series through site-adaptation with coincident ground-based measurements relying on the use of a regression preprocessing followed by an empirical quantile mapping (eQM) correction. …”
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105
Numerical modelling of hyperbolic phase change problems: Application to continuous casting
Published 2023“…Heat diffusion processes are generally modeled based on Fourier’s law to estimate how the temperature propagates inside a body. …”
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106
Numerical modelling of hyperbolic phase change problems: Application to continuous casting
Published 2023“…Heat diffusion processes are generally modeled based on Fourier’s law to estimate how the temperature propagates inside a body. …”
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107
Modelling of Concrete Waste Using Life Cycle Assessment & Damage Cost
Published 2019“…This study’s contribution is predominantly the expansion of an understanding of modelling the damage cost, in addition to providing LCA results for the management of concrete waste, which was based on different waste management options such as landfilling, recycling and transportation process.…”
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108
Key determinants of SMEs’ export performance: a resource-based view and contingency theory approach using potential mediators
Published 2020“…This study uses primary data collected via extensive surveys from active SMEs in three main industrial regions in Vietnam to undertake confirmatory factor analysis and structural equation modeling for quantitative analysis.</p><h3>Findings</h3><p dir="ltr">The results confirm and show the significant effects of various determinants on firms’ export performance. …”
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Learning Feedforward Control Of MIMO Nonlinear Systems Using U-Model
Published 2020“…U-model significantly simplifies the online synthesis of the feedforward control law. …”
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110
Learning Feedforward Control Of MIMO Nonlinear Systems Using U-Model
Published 2020“…U-model significantly simplifies the online synthesis of the feedforward control law. …”
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111
The Utilization of Ride Sourcing Applications in the UAE: A Structural Equation Model
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112
Machine learning and discriminant function analysis in the formulation of generic models for sex prediction using patella measurements
Published 2022“…Here, we have used the top performing three ML classifiers as base learners and the predictions of these models were used as inputs to different machine learning classifiers as meta learners to make the final decision. …”
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113
Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems
Published 2022“…The developed techniques are based on Support Vector Machine (SVM) model to improve the diagnosis of WEC systems. …”
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Hybrid African vultures–grey wolf optimizer approach for electrical parameters extraction of solar panel models
Published 2022“…<p dir="ltr">Three-diode model (TDM) of photovoltaic (PV) cells is a significantly precise model that addresses the electrical and optical losses in such PVs. …”
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State-of-the-art review of occupant behavior modeling and implementation in building performance simulation
Published 2023“…Common quantitative OB modeling approaches in BPS i.e., Stochastic, Statistical, Data mining, and Agent-based methods, are elucidated. …”
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Evaluating the impact of the COVID-19 pandemic on the geospatial distribution of buildings' carbon footprints associated with electricity consumption
Published 2024“…The carbon footprint (CF) linked to electricity consumption in buildings has become a significant environmental issue because of its significant role in greenhouse gas emissions. …”
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118
Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning
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doctoralThesis -
119
A numerical model for the solution of thermal elastohydrodynamic lubrication in coated circular contacts
Published 2015“…The model is based on a full-system finite element resolution of the elastohydrodynamic and heat transfer equations. …”
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120
Modeling of permeability impairment dynamics in porous media: A machine learning approach
Published 2023“…The MLM was established by connecting three Machine Learning Sub-Models (MLSMs). The first is a throat-classification MLSM; which classifies the throats based on their location and size to identify clogged throats. …”
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