Search Results - (( developing _ function algorithm ) OR ( leave application optimization algorithm ))
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State of charge estimation for lithium-ion battery based on random forests technique with gravitational search algorithm
Published 2023Conference Paper -
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Study on the microbial growth inhibition by using pineapple leaves juice
Published 2022“…The minimizations of SVSJ and transmission loss are used as two separate objective functions for the development of optimization technique. …”
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Predicting the optimum compositions of a transdermal nanoemulsion system containing an extract of Clinacanthus nutans leaves (L.) for skin antiaging by artificial neural network mo...
Published 2017“…Hence, ANN was found to be an effective tool for optimizing the nanoemulsion containing C. nutans leaves extract with efficacy to protect collagen from breakdown.…”
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Automated recognition of Ficus deltoidea using ant colony optimization technique
Published 2013“…At first, through image processing specified features are extracted from the Ficus deltoidea leaves such as vein, morphology and texture features and they construct a search space to be chosen for the optimal subset features that is selected by ACO algorithm as support vector machine (SVM) classify them. …”
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Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning
Published 2016“…Most of the existing plant identification methods are based on both the global shape features and the intact plant leaves. However, for the non-intact leaves such as the deformed, partial and overlapped leaves that largely exist in practice, the global shape features are not efficient and these methods are not applicable.The dried leave parts and noise can degrade identification results and affect the quality of the extracted features which lead to poor classification results. …”
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Expansion power system transmission using ant colony optimization: article / Izzataswad Ibrahim
Published 2015“…This paper presents an application of ant colony optimization (ACO) to optimization the expansion transmission in power system. …”
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Recent advances in meta-heuristic algorithms for training multilayer perceptron neural networks
Published 2025“…The study also highlights bibliometric trends, identifies underexplored areas such as adaptive and hybrid algorithms, and emphasizes the practical application of MHAs in optimizing ANN performance. …”
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Dynamic area coverage algorithms for static and mobile wireless sensor network environments using voronoi techniques
Published 2011“…This thesis focuses on developing Voronoi Tessellation-based Coverage Optimization Algorithms for Static and Mobile Wireless Sensor Networks, where a large number of static nodes are supported by few mobile nodes in carrying out the sensing task. …”
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A block cipher based on genetic algorithm
Published 2016“…This complexity can be done by designing an algorithm that consists of substitution function and permutation function which provides confusion and diffusion properties. …”
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Quantum-Behaved Lightning Search Algorithm to Improve Indirect Field-Oriented Fuzzy-PI Control for im Drive
Published 2023Conference Paper -
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Computing the autopilot control algorithm using predictive functional control for unstable model
Published 2009“…This paper discusses the computing development of a control algorithm using Predictive Functional Control (PFC) for model-based that having one or more unstable poles. …”
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Development and applications of metaheuristic algorithms in engineering design and structural optimization / Ali Sadollah
Published 2013“…In addition, two novel optimization methods are developed and presented which are named the mine blast algorithm (MBA) and the water cycle algorithm (WCA). …”
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Effort Estimation Model for Function Point Measurement
Published 2007“…This research work has generated an algorithmic effort estimation model for function points measurement. …”
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Chebyshev approximation of discrete polynomials and splines
Published 2004“…These algorithms use either cubic splines or Lagrange polynomials to construct the approximation function. …”
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Chebyshev approximation of discrete polynomials and splines
Published 2004“…These algorithms use either cubic splines or Lagrange polynomials to construct the approximation function. …”
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Logic Programming In Radial Basis Function Neural Networks
Published 2013“…In this thesis also, I developed a new technique to extract the logic programming from radial basis function neural networks. …”
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A video-rate color image segmentation using adaptive and statistical membership function
Published 2010“…Typically, the image segmentation algorithms in video processing system require very high computation power, so it is desirable to develop algorithms for implementation as a real-time system. …”
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A study on regional GDP forecasting analysis based on radial basis function neural network with genetic algorithm (RBFNN-GA) for Shandong economy
Published 2022“…These basic indicators can comprehensively and effectively reflect a country’s or region’s future economic development. The center of radial basis function neural network and smoothing factor to take a uniform distribution of the random radial basis function artificial neural network will be the focus of this study. …”
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