„Statistics--Data processing“
Suchergebnisse
10.000+ Treffer
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Hierarchical reinforcement Thompson composition
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Sentiment analysis in social internet of things using contextual representations and dilated convolution neural network
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A hybrid feature weighting and selection-based strategy to classify the high-dimensional and imbalanced medical data
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IHHO: an improved Harris Hawks optimization algorithm for solving engineering problems
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MCHIAO: a modified coronavirus herd immunity-Aquila optimization algorithm based on chaotic behavior for solving engineering problems
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A fast and enhanced shallow learning framework for solving free boundary options pricing problems
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The role of battery energy storage in mitigating demand fluctuations of distribution networks caused by uncertain weather conditions using multi-objective Bonobo Optimizer
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Point-of-interest recommendation based on LBSN with multi-aspect fusion of social and individual features
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Evolution inspired binary flower pollination for the uncapacitated facility location problem
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DeepAHR: a deep neural network approach for recognizing Arabic handwritten recognition
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Multi-view GCN for loan default risk prediction
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Optimal design and operation of battery energy storage systems in renewable power plants to reach maximum total electric sale revenues
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emapDiffP: A novel learning algorithm for convolutional neural network optimization
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RDGMEF: a multi-exposure image fusion framework based on Retinex decompostion and guided filter
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Few-shot classification of ultrasound breast cancer images using meta-learning algorithms
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A new histogram equalization technique for contrast enhancement of grayscale images using the differential evolution algorithm
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Performance evaluation and optimization of convolutional neural network architectures for Tomato plant disease eleven classes based on augmented leaf images dataset
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Exploring deep echo state networks for image classification: a multi-reservoir approach
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An effective deep actor-critic reinforcement learning method for solving the flexible job shop scheduling problem
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Anomaly graph: leveraging dynamic graph convolutional networks for enhanced video anomaly detection in surveillance and security applications