Search Results - adaptive affect different ((generation algorithm) OR (encryption algorithm))
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Simulated real-time controller for tuning algorithm using modified hill climbing approach
Published 2014“…In each case study, different possibilities to generate the desired reference signal is discussed along with how much the complexity of the system would affect the end result. …”
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Regenerative braking strategy for electric vehicles using improved adaptive genetic algorithm
Published 2017“…There are different algorithms used as a regenerative braking strategy. …”
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A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments
Published 2013“…There are a variety of algorithms in this class with different objectives, advantages and drawbacks. …”
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Affect classification using genetic-optimized ensembles of fuzzy ARTMAPs
Published 2015“…Training neural networks in distinguishing different emotions from physiological signals frequently involves fuzzy definitions of each affective state. …”
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Adaptive template matching of photoplethysmogram pulses to detect motion artefact
Published 2018“…The developed algorithm was evaluated against a manually annotated 'gold standard' (GS). …”
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Face recognition for varying illumination and different optical zoom using a combination of binary and geometric features
Published 2020“…With the proposed method the illumination model will fit with variation of illumination conditions in a whole image to generate an adaptive threshold for a novel columnar binary conversion method. …”
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Easy to use remote sensing and GIS analysis for landslide risk assessment
Published 2018“…We discussed different type of algorithms and factors for modeling the prediction of landslide risk assessment such as SVM (support vector machine), DT (decision tree), ANFIS (adaptive neural-fuzzy inference system), AHP (analytic hierarchy process), ANN (artificial neural network), probability frequency of landslides occurrence factors model and empirical model. …”
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Data redundancy reduction scheme for data aggregation in wireless sensor network
Published 2020“…Therefore, several studies have employed some schemes to reduce data redundancy in the clustered network before data aggregation to mitigate the problems that affects the data aggregation efficiency. This research proposes Data Redundancy Reduction Scheme (DRRS) which includes three algorithms namely, Metadata Classification (MC), Selection Active Nodes (SAN) and Anomaly Detection (AD) algorithms that works before data aggregation, when multiple composite events simultaneously occur in the different locations within the cluster. …”
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The use of heuristic ordering and particle swarm optimization for nurse scheduling problem
Published 2017“…The constraints are adapted to the evaluation function that iteratively evaluates all the solutions. …”
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A speech enhancement framework using discrete Krawtchouk-Tchebichef Transform
Published 2018“…Speech signals encounter different scenarios during transmission, such as interference and additive noise, which lead to generate noisy signals. …”
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