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361
Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks
Published 2013Get full text
doctoralThesis -
362
PAST-AI: Physical-Layer Authentication of Satellite Transmitters via Deep Learning
Published 2022“…<p dir="ltr">Physical-layer security is regaining traction in the research community, due to the performance boost introduced by deep learning classification algorithms. This is particularly true for sender authentication in wireless communications via radio fingerprinting. …”
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363
A Literature Review on System Dynamics Modeling for Sustainable Management of Water Supply and Demand
Published 2023“…The models included agent-based modeling (ABM), Bayesian networking (BN), analytical hierarchy approach (AHP), and simulation optimization multi-objective optimization (MOO). …”
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364
Software defect prediction. (c2019)
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masterThesis -
365
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366
Isolating Physical Replacement of Identical IoT Devices Using Machine and Deep Learning Approaches
Published 2021Get full text
doctoralThesis -
367
A Novel Big Data Classification Technique for Healthcare Application Using Support Vector Machine, Random Forest and J48
Published 2022“…In this study, the possibility of using and applying the capabilities of artificial intelligence (AI) and machine learning (ML) to increase the effectiveness of Internet of Things (IoT) and big data in developing a system that supports decision makers in the medical fields was studied. …”
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368
Regression testing web services-based applications
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conferenceObject -
369
Fragment-based computational protein structure prediction
Published 2014“…The method is based on a two-phase Scatter Search algorithm that minimizes the energy function. …”
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conferenceObject -
370
STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization
Published 2025“…For stationary sources, the proposed system gives satisfactory performance in terms of quality, intelligibility, and separation speed, and generalizes well with the test data from a mismatched speech corpus. Its perceptual evaluation of speech quality (PESQ) score is 0.55 points better than a self-supervised learning (SSL) model and almost equivalent to the diffusion models at computational cost and training data which is many folds lesser than required by these algorithms. …”
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371
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372
UML-based regression testing for OO software
Published 2010“…When working with large and complex object-oriented systems, source code-based regression testing is usually costly. This paper proposes a programming-language-independent technique for regression test selection for object-oriented software based on Unified Modeling Language (UML 2.0) design diagrams. …”
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373
Anomaly Detection Based Framework for Profile Monitoring
Published 2023Get full text
doctoralThesis -
374
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375
Advancing Coherent Power Grid Partitioning: A Review Embracing Machine and Deep Learning
Published 2025“…This article provides an updated review of the cutting-edge machine learning and data-driven techniques used for PGP in networked PSs. …”
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376
Machine learning for predicting outcomes of transcatheter aortic valve implantation: A systematic review
Published 2025“…Most of the included studies focused on mortality prediction, utilizing datasets of varying sizes and diverse ML algorithms. The most employed ML algorithms were random forest, logistics regression, and gradient boosting. …”
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377
Machine learning for predicting outcomes of transcatheter aortic valve implantation: A systematic review
Published 2025“…Most of the included studies focused on mortality prediction, utilizing datasets of varying sizes and diverse ML algorithms. The most employed ML algorithms were random forest, logistics regression, and gradient boosting. …”
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378
Decomposition method for solving a nonlinear business cycle model
Published 2003“…A numerical algorithm based on a decomposition scheme is implemented for the approximate solution of the model. …”
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379
Second-order conic programming for data envelopment analysis models
Published 2022“…Indeed, the aforesaid method is based on mathematical optimization. This paper constructs a second-order conic optimization problem unifying several DEA models. …”
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380
Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization
Published 2024“…The proposed simulated model can find the most relevant sensor(s) capable of generating the best quality tracks based on weighted distance criteria (Euclidean and Mahalanobis ). …”
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