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Showing 201 - 220 results of 315 for search '(( algorithm machine function ) OR ((( algorithm its function ) OR ( algorithm using function ))))', query time: 0.11s Refine Results
  1. 201
    Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information

    Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information by M. Ghoniem, Rania

    Published 2019
    “…For classifying unimodal data of either speech or EEG, a hybrid fuzzy c-means-genetic algorithm-neural network model is proposed, where its fitness function finds the optimal fuzzy cluster number reducing the classification error. …”
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  2. 202
    Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers

    Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers by Ali Sharida (17947847)

    Published 2023
    “…The OSF detection and localization algorithm is implemented based on the dynamic response difference between the physical system and its DT. …”
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  3. 203
    Fixed set search applied to the multi-objective minimum weighted vertex cover problem

    Fixed set search applied to the multi-objective minimum weighted vertex cover problem by Raka Jovanovic (17947838)

    Published 2022
    “…One important characteristic of the proposed GRASP is that it avoids the use of weighted sums of objective functions in the local search and the greedy algorithm. …”
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  4. 204
    A modified optimal design of a vibration absorber for ground motion isolation

    A modified optimal design of a vibration absorber for ground motion isolation by Issa, Jimmy S.

    Published 2014
    “…For a given stiffness ratio of the system, the optimal mass and damping ratios are obtained analytically using an optimization method based on invariant points of the objective function. …”
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  5. 205
    Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization

    Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization by De Rochechouart, Maxence

    Published 2023
    “…In particular, the Proximity Policy Optimization (PPO) reinforcement algorithm is used to discover a policy for sensor selection that results in optimum sensor resource allocation. …”
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  6. 206
    Shuffled Linear Regression with Erroneous Observations

    Shuffled Linear Regression with Erroneous Observations by Saab, Samer S.

    Published 2019
    “…We propose an optimal recursive algorithm that updates the estimate from the underdetermined function that is based on that permutation-invariant constraint. …”
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  7. 207
    Autonomous Robot Navigation Based On Recurrent Neural Networks

    Autonomous Robot Navigation Based On Recurrent Neural Networks by Al-Sagban, Mariam Qusai

    Published 2012
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  8. 208
    UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices

    UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices by Samir, Moataz

    Published 2019
    “…We demonstrate the favourable characteristics of the proposed algorithms via extensive simulation results and analysis as a function of various system parameters, with benchmarking against two greedy algorithms based on distance and deadline metrics.…”
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  9. 209
    Weak-coupling, strong-coupling and large-order parametrization of the hypergeometric-Meijer approximants

    Weak-coupling, strong-coupling and large-order parametrization of the hypergeometric-Meijer approximants by Abouzeid M. Shalaby (16810695)

    Published 2020
    “…The divergent<sub>p</sub>F<sub>p</sub>-2 series are then resummed via their representation in terms of the Meijer-G function. The choice of <sub>p</sub>F<sub>p</sub>-2 accelerates the convergence even with only weak-coupling information as input. …”
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  10. 210
    The maximum common subgraph problem

    The maximum common subgraph problem by Abu-Khzam, Faisal N.

    Published 2017
    “…This is made possible by exploiting an efficient decomposition of a graph into a minimum vertex cover and the maximum independent set in its complement. The result is an algorithm whose run time is bounded by a function exponential in the order of the smaller cover rather than in the order of the smaller graph.…”
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  11. 211
    On-demand deployment of multiple aerial base stations for traffic offloading and network recovery

    On-demand deployment of multiple aerial base stations for traffic offloading and network recovery by Sharafeddine, Sanaa

    Published 2019
    “…We present performance results for the proposed algorithm as a function of various system parameters and demonstrate its effectiveness compared to the close-to-optimal greedy approach and its superiority compared to recent related work from the literature.…”
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  12. 212
    Improving the Resilience of Smart Distribution Networks against Cyber Attacks

    Improving the Resilience of Smart Distribution Networks against Cyber Attacks by ElYamani, Mohamed ElHusseiny Mohamed

    Published 2022
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  13. 213
    Optimized provisioning of edge computing resources with heterogeneous workload in IoT networks

    Optimized provisioning of edge computing resources with heterogeneous workload in IoT networks by Kherraf, Nouha

    Published 2019
    “…We analyze the effectiveness of the proposed algorithm through extensive simulations and highlight valuable performance trends and trade-offs as a function of various system parameters.…”
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  14. 214
    Particle swarm optimization approach for protein structure prediction in the 3D HP model

    Particle swarm optimization approach for protein structure prediction in the 3D HP model by Mansour, Nashat

    Published 2012
    “…To test our algorithm, we used two sets of benchmark sequences of different lengths and compared our results to published results. …”
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  15. 215
    Regression testing web services-based applications

    Regression testing web services-based applications by Tarhini, Abbas

    Published 2006
    “…Our algorithm selects every test sequence that corresponds to a different behavior in the modified system. …”
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  16. 216
    Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems

    Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems by Shaik, Rafikiran

    Published 2023
    “…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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  17. 217
    Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems

    Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems by Shaik Rafikiran (15838929)

    Published 2023
    “…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. …”
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  18. 218
    Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment

    Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment by Farhat Mahmood (15468854)

    Published 2023
    “…A robust model predictive control strategy, based on the minimax objective function and particle swarm optimisation algorithm, is developed to handle the uncertainties in the system. …”
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  19. 219
    A hybrid neuro-fuzzy power system stabilizer for multimachine powersystems

    A hybrid neuro-fuzzy power system stabilizer for multimachine powersystems by Abido, M.A.

    Published 1998
    “…The proposed FBFN is trained over a wide range of operating conditions in order to re-tune the PSS parameters in real-time based on machine loading conditions. The orthogonal least squares (OLS) learning algorithm is developed for designing an adequate and parsimonious FBFN model. …”
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  20. 220
    Software defect prediction. (c2019)

    Software defect prediction. (c2019) by Moussa, Rebecca

    Published 2019
    “…One that focuses on predicting defect in software modules using a hybrid heuristic - a combination of Particle Swarm Optimization (PSO) and Genetic Algorithms (GA). …”
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