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algorithm growth » algorithm goa (Expand Search)
algorithm its » algorithm _ (Expand Search), algorithm fa (Expand Search), algorithm goa (Expand Search)
its function » cost function (Expand Search)
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61
Morphology for Planar Hexagonal Modular Self-Reconfigurable Robotic Systems
Published 2009Get full text
doctoralThesis -
62
CFD Based Airfoil Shape Optimization for Aerodynamic Drag Reduction
Published 2012Get full text
doctoralThesis -
63
UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices
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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64
Joint distributed synchronization and positioning in UWB ad hoc networks using TOA
Published 2006“…Finally, the proposed distributed maximum log-likelihood algorithm proves to preserve a reasonable level of complexity in each node by approximating asynchronously the positive gradient direction of the log-likelihood function. …”
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65
Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation
Published 2023“…Additionally, a clustering algorithm with a fuzzy membership function is implemented, allowing the robots to advance in accordance with predefined clusters and arrive at their starting place within a predetermined amount of time. …”
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66
Autonomous Robot Navigation Based On Recurrent Neural Networks
Published 2012Get full text
doctoralThesis -
67
Entire hypergeometric approximants for the ground state energy perturbation series of the quartic, sextic and octic anharmonic oscillators
Published 2023“…In this work, we use appropriate hypergeometric functions to approximate a divergent series ( n! large order growth factor) and strongly-divergent series ( (2n)! …”
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68
Metaheuristic Optimization‐Based Sliding Mode Control With Modified Perturb and Observe for Controlling MPPT of a PV Interfaced Grid Connected System
Published 2025“…Also, the proposed hybrid (MGO‐MPb&O) is compared with two other hybrid control topologies that are (PSO‐MPb&O) and (cuckoo search algorithm [CSA]‐MPb&O) in terms of maximum power extracted, efficiency, and convergence time of the objective function. …”
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69
The maximum common subgraph problem
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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conferenceObject -
70
Blood Glucose Regulation Modelling and Intelligent Control
Published 2024Get full text
doctoralThesis -
71
On-demand deployment of multiple aerial base stations for traffic offloading and network recovery
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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72
Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network
Published 2020“…An Artificial neural network (ANN) algorithm was developed to model and optimize the cumulative methane production (CMP) from ASWs, CM, and their mixture under mesophilic and thermophilic conditions. …”
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73
DRL-Based IRS-Assisted Secure Hybrid Visible Light and mmWave Communications
Published 2024“…The system comprises four VLC access points with light fixtures, reinforced by a mirror array sheet, and a mmWave access point with antennas, supported by a reflecting unit sheet. Within the system, both sheets function as IRS. The aim is to enhance the secrecy capacity (SC) of the system by optimizing the beamforming weights at the VLC fixtures, the beamforming weights at the mmWave AP, the mirror array configurations, and the phase shift vector while meeting specific power constraints. …”
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74
Defense against adversarial attacks: robust and efficient compressed optimized neural networks
Published 2024“…First, introducing a pioneering batch-cumulative approach, the exponential particle swarm optimization (ExPSO) algorithm was developed for meticulous parameter fine-tuning within each batch. …”
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75
Vibration suppression in a cantilever beam using a string-type vibration absorber
Published 2017“…In the first, the spring stiffness, the position of the second attachment point of the string and a preliminary damping constant are calculated using a genetic algorithm approach where the objective function is the maximum displacement on the beam. …”
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conferenceObject -
76
Optimized provisioning of edge computing resources with heterogeneous workload in IoT networks
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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77
Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
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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78
Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers
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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79
Improving the Resilience of Smart Distribution Networks against Cyber Attacks
Published 2022Get full text
doctoralThesis -
80
A lightweight adaptive compression scheme for energy-efficient mobile-to-mobile file sharing applications
Published 2011“…Moreover, if the transmission rate over the wireless medium is high then the need for compression might be reduced or even eliminated as data is transferred efficiently within a limited amount of time. We evaluate and optimize the performance of the proposed adaptive compression scheme using experimental measurements in different scenarios and as a function of various parameters. …”
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