Search Results - (( leave application _ algorithm ) OR ( evolution optimization matching algorithm ))
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Comparison between Lamarckian Evolution and Baldwin Evolution of neural network
Published 2006“…We presented hybrid genetic algorithm for optimizing weights as well as the topology of artificial neural networks, by introducing the concepts of Lamarckian and Baldwin evolution effects. …”
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A novel Master–Slave optimization algorithm for generating an optimal release policy in case of reservoir operation
Published 2019“…First, three different optimization algorithms, namely particle swarm optimization, differential evolution, and whale optimization algorithm, have been applied. …”
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A filtering algorithm for efficient retrieving of DNA sequence
Published 2009“…The biologists frequently demand for optimal comparison result so that the perfect structure of living beings evolution can be constructed. …”
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Automated Student Timetable Scheduling System based on Genetic Algorithm
Published 2019“…Genetic algorithm works based on natural evolutions that comprises of several iterations. …”
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Analysing ratio-based controllers against motivational game theory in peer-to-peer renewable energy trading
Published 2024“…Yet, the transition from generation to utilization presents challenges, particularly in terms of tracking and matching energy supply with consumer demand. This inefficiency highlights the need for a sophisticated controller equipped with optimal algorithms. …”
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Proceeding Paper -
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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“…The model was applied to optimize the particle size of the transdermal nanoemulsion system containing an extract of C. nutans leaves for skin antiaging. Five universal learning algorithms—incremental back propagation, batch back propagation, quick propagation, genetic algorithm, and Levenberg-Marquardt—were used in the ANN to achieve the optimum topologies. …”
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Performance analysis of machine learning algorithms for classification of infection severity levels on rubber leaves
Published 2023“…Thus, this study was carried out to investigate the potential application of spectroscopic technology and machine learning algorithms to classify severity level of infected trees at early stage based on spectral data. …”
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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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The comparative study of model-based and appearance based gait recognition for leave bag behind
Published 2018“…This research limited to leave the bag behind detection on gait recognition. …”
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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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The comparative study of model-based and appearance Based gait recognition for leave bag behind
Published 2018“…This research limited to leave the bag behind detection on gait recognition. …”
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An extended ID3 decision tree algorithm for spatial data
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Integration of image processing algorithm and deep learning approaches to monitor ginger plant
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Final Year Project / Dissertation / Thesis -
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A Study On Gene Selection And Classification Algorithms For Classification Of Microarray Gene Expression Data
Published 2005“…The Classification Algorithms Include Support Vector Machines (Svms) With Several Kernels And K-Nearest Neighbor(K-Nn). …”
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Recent advances in meta-heuristic algorithms for training multilayer perceptron neural networks
Published 2025“…Despite the growing use of MHAs, existing studies often focus on specific subsets of algorithms or narrow application domains, leaving a gap in understanding their comprehensive potential and comparative performance across diverse classification tasks. …”
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