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Radial basis function networks for contingency analysis of bulkpower systems
Published 1999“…Unlike most of the available neural networks based techniques, the proposed method utilizes the potential of RBFN in planning studies. …”
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183
Contingency analysis of bulk power system using neural networks
Published 1998“…Unlike most of the available neural network-based techniques, the proposed method utilizes the potential of RBFN in planning studies. …”
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184
A collaborative filtering recommendation framework utilizing social networks
Published 2023“…The framework is based on a modified version of the user-based collaborative filtering algorithm, which computes user similarity based on their ratings and social connections. …”
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Resilience analytics: coverage and robustness in multi-modal transportation networks
Published 2018“…Previous approaches proposed a mathematical framework to numerically compute the coverage in multiplex networks. However solutions are usually based on eigenvalue decomposition, known to be time consuming and hard to obtain in the case of large systems. …”
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187
Scalable Multimedia Streaming in Wireless Networks with Device-to-Device Cooperation
Published 2016“…The key novel characteristics of our system include seamless neighbor discovery and link quality estimation, intelligent clustering and channel allocation algorithms based on constrained minimum spanning trees, robustness against device mobility, and device centric operation with no changes to existing wireless systems. …”
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conferenceObject -
188
Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments
Published 2025“…These processes begin with capturing speech in analog form and applying signal processing algorithms to ensure compatibility with devices like cochlear implants (CIs). …”
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189
Modeling and Control of a Thermally Driven MEMS Actuator for RF Applications
Published 2017Get full text
doctoralThesis -
190
A three-stage hybrid heuristic algorithm for the capacitated vehicle routing problem. (c2016)
Published 2016“…We consider heuristic methods that are based on two-phase algorithms. Each such algorithm starts by clustering the underlining network before proceeding into the route construction phase. …”
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masterThesis -
191
Accurate multiple network alignment through context-sensitive random walk
Published 2015“…In this work, we propose a novel multiple network alignment algorithm based on a context-sensitive random walk model. …”
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192
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Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks
Published 2025“…Drawing on more than fifteen harmonized datasets that span pyrimidines, ionic liquids, graphene oxides, and additional compound families, we benchmark traditional algorithms, such as artificial neural networks, support vector machines, k-nearest neighbors, random forests, against advanced graph-based and deep architectures including three-level directed message-passing neural networks, 2D3DMol-CIC, and graph convolutional networks. …”
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194
Towards Resiliency Enhancement of Network of Grid-Forming and Grid-Following Inverters
Published 2023“…Moreover, the proposed self-ranking-based coordinated mode selection algorithm dynamically reconfigures the inverter's operation mode (either GFM or GFL) to enhance the PEDG resiliency in response to events and ensure GFM inverter allocation in grid clusters. …”
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195
Ensemble Deep Random Vector Functional Link Neural Network for Regression
Published 2022“…The esc-edRVFL is identified as the best-performing algorithm through a comprehensive evaluation of 31 UCI datasets.…”
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Enhancement of blocking performance in all-optical WDM networks. (c2012)
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masterThesis -
197
Recent advances on artificial intelligence and learning techniques in cognitive radio networks
Published 2015“…The literature survey is organized based on different artificial intelligence techniques such as fuzzy logic, genetic algorithms, neural networks, game theory, reinforcement learning, support vector machine, case-based reasoning, entropy, Bayesian, Markov model, multi-agent systems, and artificial bee colony algorithm. …”
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198
Performance Analysis of Artificial Neural Networks in Forecasting Financial Time Series
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doctoralThesis -
199
A Stochastic Approach To Solving The Weight Setting Problem in OSPF Networks
Published 2007“…OSPF calculates the shortest paths from each source to all destinations using the Dijkstra’s algorithm based on the weights assigned to the links. …”
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masterThesis -
200
Failure recovery in wireless content distribution networks with device-to-device cooperation
Published 2017“…We present low complexity effective algorithms based on clustering and tree construction methods in order to address three different types of dynamic node behavior, namely new devices joining the network, existing devices leaving the network, and existing devices moving locally within the network. …”
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