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81
Modeling and Control of Nonlinear Systems Using Wavelet Networks
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doctoralThesis -
82
Decomposition method for solving a nonlinear business cycle model
Published 2003“…In this paper we present a Kaleckian-type model of a business cycle based on a nonlinear delay differential equation. …”
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83
Hybrid Optimized Approaches for Routing and Resource Reservation Protocols in Optical Networks
Published 2021“…We have presented three models, i.e., Route-Model, RouteRes-Model, and RouteEON-Model. …”
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84
Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization
Published 2024“…This hybrid approach, the Improved Prairie Dog Optimization Algorithm (IPDOA) with the Genetic Algorithm (GA), utilizes the strengths of both algorithms to improve the overall optimization performance. …”
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85
Modélisation et validation des modèles de véhicules hybrides
Published 2009“…La modélisation et la comparaison de consommation sont réalisées entre 4 GMP hybrides présentant des performances similaires à un véhicule de référence. …”
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masterThesis -
86
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87
Modelling Exchange Rates during Currency Crisis using Neural Networks
Published 2006“…The models are built using the feedforward ANN structure trained by the backpropagation algorithm. …”
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conferenceObject -
88
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89
A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011)
Published 2011Get full text
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masterThesis -
90
Scatter search metaheuristic for homology based protein structure prediction. (c2015)
Published 2015“…The 3D models predicted by our algorithm show improved root mean standard deviations (RMSD) with respect to the native structures.…”
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masterThesis -
91
An Extension Of Rahim And Banerjee'S Model For A Process With Upper And Lower Specification Limits
Published 2020“…We present an extension of their model for a process having both upper and lower specification limits. …”
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92
Enhanced Inverse Model Predictive Control for EV Chargers: Solution for Rectifier-Side
Published 2024“…Then, an adaptive estimation strategy employing a recursive least square algorithm is proposed for online dynamic model estimation, which is then used by the IMPC for optimal switching states prediction. …”
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93
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94
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95
On-site workshop investment problem: A novel mathematical approach and solution procedure
Published 2023“…Two new (linear) mathematical programming models are proposed for MOSWIPT. Next, due to the NP-hardness of the problem, an enhanced Genetic Algorithm (GA)-based metaheuristic with efficient problem-specific improvement rules as local search and effective crossover and mutation operators is proposed. …”
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96
A Novel Internal Model Control Scheme for Adaptive Tracking of Nonlinear Dynamic Plants
Published 2006“…The U-model utilizes only past data for plant modelling and standard root solving algorithm for control law formulation. …”
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97
A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models
Published 2024“…Then, the DRF optimization algorithm is applied to optimally tune the features required for accurate intrusion detection and classification. …”
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98
A reduced model for phase-change problems with radiation using simplified PN approximations
Published 2025“…In the present study, we develop a class of efficient reduced models for phase-change problems accounting for grey thermal radiation. …”
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99
Particle swarm optimization approach for protein structure prediction in the 3D HP model
Published 2012“…Due to the importance of this problem and since laboratory techniques are not always feasible, computational methods for characterizing protein structures have been proposed. In this paper, we present a particle swarm optimization (PSO) based algorithm for predicting protein structures in the 3D hydrophobic polar model. …”
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100
A Literature Review on System Dynamics Modeling for Sustainable Management of Water Supply and Demand
Published 2023“…The solution approaches included the genetic algorithm (GA), particle swarm optimization (PSO), and the non-dominated sorting genetic algorithm (NSGA-II). …”