„Statistics--Data processing“
Suchergebnisse
10.000+ Treffer
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Guiding evolutionary algorithms with large language models to learn fuzzy cognitive maps
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Average impulsive estimation-based exponential synchronization of chaotic neural networks with time-varying delayed impulses
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KPQDG: a key sentence prompt-tuning for automatic question-distractor pairs generation
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Real-time optimal energy management of microgrid based on multi-agent proximal policy optimization
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GP-PSENet: a group-related dilated and a parallel extensional dilation-wise residual encoder for scene text detection
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Quasi-synchronization analysis of heterogeneous neural networks with multiple delays under impulsive control
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A novel human actions recognition and classification using semantic segmentation with deep learning techniques
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Optimizing a continuous action learning automata (CALA) optimizer for training artificial neural networks
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Dynamic economic dispatch with uncertain wind power generation using an enhanced artificial hummingbird algorithm
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Heterogeneous graph multi-level semantics extraction for node classification
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Enhancing electroencephalogram signal quality in epileptic patients using bidirectional stochastic long short-term memory network
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Multi-modal consistent loss diffusion model for Sentinel-3 single image super resolution
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Dynamic generative R-CNN
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Enhancing facial expression recognition in uncontrolled environment: a lightweight CNN approach with pre-processing
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Supercell thunderstorm algorithm (STA): a nature-inspired metaheuristic algorithm for engineering optimization
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AutoML for shape-writing biometrics
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Beyond administrative reports: a deep learning framework for classifying and monitoring crime and accidents leveraging large-scale online news
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Enhanced model for abstractive Arabic text summarization using natural language generation and named entity recognition
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CONELPABO: composite networks learning via parallel Bayesian optimization to predict remaining useful life in predictive maintenance
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Exploratory data analysis, time series analysis, crime type prediction, and trend forecasting in crime data using machine learning, deep learning, and statistical methods