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Downscaling and Projection of Multi-CMIP5 Precipitation Using Machine Learning Methods in the Upper Han River Basin
Published 2020-01-01“…This study developed multiple machine learning (ML) downscaling models, based on a Bayesian model average (BMA), to downscale the precipitation simulation of 8 Coupled Model Intercomparison Project Phase 5 (CMIP5) models using model output statistics (MOS) for the years 1961–2005 in the upper Han River basin. …”
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Preference learning based deep reinforcement learning for flexible job shop scheduling problem
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Analyzing the impact of deep learning algorithms and fuzzy logic approach for remote English translation
Published 2024-06-01Get full text
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Robot Obstacle Avoidance Learning Based on Mixture Models
Published 2016-01-01Get full text
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Impostor Resilient Multimodal Metric Learning for Person Reidentification
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Complex Deep Learning and Evolutionary Computing Models in Computer Vision
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More Adaptive and Updatable: An Online Sparse Learning Method for Face Recognition
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Nonlinear Waveform Sensing for Cognitive Radar Based on Reinforcement Learning
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Performance Analysis of Diabetes Detection Using Machine Learning Classifiers
Published 2024-10-01Get full text
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Reinforced AdaBoost Learning for Object Detection with Local Pattern Representations
Published 2013-01-01Get full text
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A parallel spatiotemporal deep learning network for highway traffic flow forecasting
Published 2019-02-01Get full text
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Reinforcement Learning–Based Ramp Metering Strategy Considering Queue Management
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Predictive Control for Steel Rib Bending Based on Deep Learning
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Balanced coarse-to-fine federated learning for noisy heterogeneous clients
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RSS Tracking Control for AVs Under Bayesian-Network-Based Intelligent Learning Scheme
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Learning-Based Path Planning Algorithm in Ocean Currents for Multi-Glider
Published 2022-01-01Get full text
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