Search Results - (( java application using algorithm ) OR ( parametric simulation approach algorithm ))
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An intelligent framework for modelling and active vibration control of flexible structures
Published 2004“…Parametric approaches include linear parametric modelling of the system using recursive least squares (RLS) and genetic algorithms (GAS); and non-parametric approaches include multi-layered perceptron neural networks (MLP-NNs) and adaptive neuro-fuzzy inference systems (ANFIS) are employed. …”
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Thesis -
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A parametric mixture model of three different distributions: An approach to analyse heterogeneous survival data
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Semiparametric estimation with profile algorithm for longitudinal binary data
Published 2013“…The nonparametric component is estimated by smoothing spline approach, i.e., natural cubic spline. We use profile algorithm in the estimation of both parametric and nonparametric components. …”
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Quality of service in mobile IP networks with parametric multi-channel routing algorithms based on linear programming approach
Published 2018“…Furthermore, Optimized Parametric Topology Control Routing algorithm performs significantly better than Triangular Routing Method and Change Foreign Agent Algorithm. …”
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5
Identification algorithms of flexible structure using neural networks
Published 2006“…The finite duration step input is applied to simulation algorithm of the plate. Finally a comparative performance of the approaches used is presented and discussed.…”
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Identification algorithms of flexible structure using neural networks
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A multi-objective parametric algorithm for sensor-based navigation in uncharted terrains
Published 2023“…Simulation studies have shown the algorithm to perform robust and effective in all environments.…”
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Computational simulation for analysis and synthesis of impact resilient structure
Published 2013“…The second objective is to utilize the computational algorithm for direct numerical simulation, and as a parallel scheme, commercial off-the shelf numerical code is utilized for parametric study, optimization and synthesis. …”
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Computational simulation for static and dynamic load of rectangular plate in elastic region for analysis of impact resilient structure.
Published 2012“…The second objective is to utilize the computational algorithm for direct numerical simulation, and as a parallel scheme, commercial off-the shelf numerical code is utilized for parametric study, optimization and synthesis. …”
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Parametric analysis of critical buckling in composite laminate structures under mechanical and thermal loads: a finite element and machine learning approach
Published 2024“…Later, various structural and material parameters like spacing ratio, opening ratio, hole shape, fiber orientation, and laminate sequence are systematically varied. Subsequently, simulation data from numerous cases are utilized to identify the best parameter combination using machine learning algorithms. …”
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Parametric modelling of a TRMS using dynamic spread factor particle swarm optimisation
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Proceeding Paper -
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RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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Final Year Project -
15
Non-Parametric and Parametric Estimations of Cure Fraction Using Right-and Interval-Censored Data
Published 2011“…Then, a series of simulation studies was conducted to evaluate the performance of the proposed estimation approaches. …”
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Provider independent cryptographic tools
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Monograph -
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Estimated and analysis of the relationship between the endogenous and exogenous variables using fuzzy semi-paranetric sample selection model
Published 2014“…Through this approach, a flexible fuzzy concept hybrid with the semi-parametric sample selection models known as Fuzzy Semi-Parametric Sample Selection Model (FSPSSM). …”
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Design and implementation of an optimal fuzzy logic controller using egentic algorithm
Published 2011“…The devised solution is softwllrebased which employs an algorithmic approach for programming II PICI6F877A microcontroller, thus eliminating allogether the parametric dependence issues while adding the benefits of easier modification to suit a given control system for varying operational conditions_ The approach is first simulated using MATLAB/and the simulated results are verified by programming {he PICI6I'g77A mierocontrolter with {he algorithm and using it on a temperature control system where a fan is regulated in response to variations in the ambient system temperature. …”
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Book Chapter -
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Design and implementation of an optimal fuzzy logic controller using genetic algorithm
Published 2008“…Present study was based on a software approach which was focusing on an algorithmic approach for programming a PIC16F877A microcontroller, for eliminating altogether the parametric dependence issues while adding the benefits of easier modification to suit a given control system to changing operational conditions. …”
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