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Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT
Published 2021“…This paper proposes an Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT. …”
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122
Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization
Published 2024“…The Extended Kalman Filter (EKF) is used for state estimation with proper clutter and detection models. …”
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123
Modelling surface currents in the Eastern Levantine Mediterranean using surface drifters and satellite altimetry
Published 2016“…The method relies on a variational assimilation approach where a velocity correction is continuously obtained by matching observed drifter positions with those predicted by a simple advection model. The background velocity used in the advection of the drifters is the aggregate of a geostrophic and a wind-driven component and the velocity correction is constrained to be divergence free. …”
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Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks
Published 2013Get full text
doctoralThesis -
125
Predicting Plasma Vitamin C Using Machine Learning
Published 2022“…The objective of this study is to predict plasma vitamin C using machine learning. The NHANES dataset was used to predict plasma vitamin C in a cohort of 2952 American adults using regression algorithms and clustering in a way that a hypothetical health application might. …”
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126
Modeling of Chlorophyll-a and Eutrophication Indicators in the Dubai Creek Area using Remote Sensing
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doctoralThesis -
127
Weather Sensitivity Of Physically Based Model Of Residential Air-Conditioners For Direct Load Control: A Case Study
Published 2020“…Hot and humid summer seasons lead to a significant proportion of the supplied power being used on air-conditioning. In this work, we address the identification problem of the parameters of an aggregated elemental physically based model representing a housing unit with an A/C system. …”
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128
Weather Sensitivity Of Physically Based Model Of Residential Air-Conditioners For Direct Load Control: A Case Study
Published 2020“…Hot and humid summer seasons lead to a significant proportion of the supplied power being used on air-conditioning. In this work, we address the identification problem of the parameters of an aggregated elemental physically based model representing a housing unit with an A/C system. …”
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129
Improvement Algorithm for Limited Space Scheduling
Published 2001“…This paper addresses the combined problem termed “space scheduling” and presents an algorithmic time-space trade-off model for adjusting activity durations and start dates to decrease the need for space over congested time periods. …”
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130
Evolutionary algorithm for protein structure prediction
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conferenceObject -
131
Correlation Clustering via s-Club Cluster Edge Deletion
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masterThesis -
132
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133
An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting
Published 2021“…Then, the stacked LSTM model, optimized by Tabu search algorithm, uses the residual error correction associated with the original data to produce a point and interval PVPF. …”
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134
Predicting Dropouts among a Homogeneous Population using a Data Mining Approach
Published 2019“…Our research reveals that the Gradient Boosted Trees is a robust algorithm that predicts dropouts with an accuracy of 79.31% and AUC of 88.4% using only pre-enrollment data. …”
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135
An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling
Published 2016“…The work presented in thesis add to the existing literature in a proposing the use of a genetic algorithm uncertain approach to resource- scheduling in projects. …”
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136
An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications
Published 2021“…Initially, the optimization model and convergence characteristics of JAYA algorithm are carefully analyzed. …”
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137
Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma
Published 2019“…</p><h3>Methods</h3><p dir="ltr">We use a real EHR dataset comprising 11071 patients, to evaluate and compare CD interpretations from LSTM and BiLSTM models. …”
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138
Identification And Weather Sensitivity Of Physically Based Model Of Residential Air-Conditioners For Direct Load Control: A Case Study
Published 2020“…Hot and humid summer seasons lead to a significant proportion of the supplied power being used on air-conditioning (AC). In this work, we address the identification problem of the parameters of an aggregated elemental physically based model representing a housing unit with an AC system. …”
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