Localization of Damages in Plain And Riveted Aluminium Specimens using Lamb Waves حسب S. Andhale, Yogesh

"…The TOA data of the wave reflected from the damage is used in the two arrival time difference and astroid algorithms to locate the damage in an enclosed area. …"
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Drones Tracking Adaptation Using Reinforcement Learning: Proximal Policy optimization حسب Alhadhrami, Esra Ebrahim

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Information reconciliation through agent controlled graph model. (c2018) حسب Saba, Rita

"…Multiple models have been proposed and different techniques and data structures were used. Our approach provides a damage assessment and recovery algorithm that is based on agents and graphs.…"
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Nonlinear analysis of shell structures using image processing and machine learning حسب M.S. Nashed (16392961)

"…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …"

Internal Model Control Structure Using Adaptive Inverse Control Strategy حسب Shafiq, M.Riyaz

"…In this paper, we propose a new adaptive IMC scheme based on adaptive finite impulse response filters, which can be designed for both minimum and non-minimum phase systems in the same fashion. The internal model of the plant is estimated by recursive least square algorithm and the inverse of the system by least mean square. …"
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Correlation Clustering with Overlaps حسب Fakhereldine, Amin

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Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques حسب Fares, Samar

"…The sensors are unbiased radars with fixed locations. The first method uses an offline technique based on a global optimizer called the CMA-ES algorithm and the second one uses LSTM in its different forms to learn the online adjustment of the fusion weights between the two tracks. …"
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Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn... حسب Mohamed, AlShuweihi

"…LR with the reduced feature set using the intersection between CS and RFE proved to be the best model among the tested algorithms. …"
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Machine learning approach for the classification of corn seed using hybrid features حسب Aqib Ali (19680145)

"…The nine optimized features have been acquired by employing the correlation-based feature selection (CFS) technique with the Best First search algorithm. To build the classification models, Random forest (RF), BayesNet (BN), LogitBoost (LB), and Multilayer Perceptron (MLP) were employed using optimized multi-feature using (10-fold) cross-validation approach. …"

On the use of L/sub 2/ gap metric for identifying Hammersteim models حسب Al-Amer, S.H.

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Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies حسب Mohamed, Eman

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Developing a framework for using face recognition in transit payment transactions حسب HABEH, ORABI MOHAMMAD ABDULLAH

"…The proposed framework involves the hardware, software, algorithms, and system specification requirements. Further, it provides a detailed end-to-end systems integration and transaction flow between the account-based ticketing, face recognition, and banking systems. …"
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Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems حسب Shaik, Rafikiran

"…The main contribution of this study is the introduction and comparative performance analysis of different hybrid MPPT controllers for selecting the optimum duty cycle for the fuel cell-fed boost converter system. The studied MPPT controllers are Adaptive Adjustable Step-based Perturb and Observe (AAS-P&O) controllers, Variable Step Value-Radial Basis Function Controller (VSV-RBFC), Adaptive Step Hill Climb (ASHC) based fuzzy technique, Variable P&O with Particle Swarm Optimization (VP&O-PSO), and Variable Step Grey Wolf Algorithm (VSGWA) based fuzzy logic controller. …"
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Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems حسب Shaik Rafikiran (15838929)

"…The main contribution of this study is the introduction and comparative performance analysis of different hybrid MPPT controllers for selecting the optimum duty cycle for the fuel cell-fed boost converter system. The studied MPPT controllers are Adaptive Adjustable Step-based Perturb and Observe (AASP&O) controllers, Variable Step Value-Radial Basis Function Controller (VSV-RBFC), Adaptive Step Hill Climb (ASHC) based fuzzy technique, Variable P&O with Particle Swarm Optimization (VP&O-PSO), and Variable Step Grey Wolf Algorithm (VSGWA) based fuzzy logic controller. …"

Fetal ECG Signal Enhancement حسب Ahmadi, Maryam

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Efficient XML Structural Similarity Detection using Sub-tree Commonalities حسب Tekli, Joe

"…Developing efficient techniques for comparing XML-based documents becomes essential in the database and information retrieval communities. Various algorithms for comparing hierarchically structured data, e.g. …"
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Effective dispatch strategies assortment according to the effect of the operation for an islanded hybrid microgrid حسب Sk.A. Shezan (21323048)

"…In HOMER software, all the possible dispatch algorithms were analyzed, and the power system responses and reliability study were carried out using DIgSILENT PowerFactory. …"

Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer حسب Andrea Remo (447375)

"…</p><h3>Methods</h3><p dir="ltr">In-silico modeling and Algorithm for the Reconstruction of Accurate Cellular Networks (ARACNe) on IBC/non-IBC (nIBC) gene expression data (n = 197) was employed to identify novel master regulators connected to the IBC phenotype. …"

Blue collar laborers’ travel pattern recognition: Machine learning classifier approach حسب Aya Hasan Alkhereibi (17151070)

"…<p dir="ltr">This paper proposes a pattern recognition model to develop clusters of homogenous activities for blue-collar workers in the State of Qatar. The activity-based data from the travel diary of 1051 blue-collar workers collected by the Ministry of Transportation and Communication (MoTC) in Qatar was used for analysis. …"

Predicting COVID-19 cases using bidirectional LSTM on multivariate time series حسب Ahmed Ben Said (14158926)

"…Unlike other forecasting techniques, our proposed approach first groups the countries having similar demographic and socioeconomic aspects and health sector indicators using K-means clustering algorithm. The cumulative case data of the clustered countries enriched with data related to the lockdown measures are fed to the bidirectional LSTM to train the forecasting model. …"