Search Results - "Meng, Zhihang"
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1
Hydropower station scheduling with ship arrival prediction and energy storage
Published in Scientific reports (03-11-2023)“…Effectiveness improvement in power generation and navigation for grid-connected hydropower stations have emerged as a significant concern due to the challenges…”
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2
Optimizing hydropower scheduling through accurate power load prediction: A practical case study
Published in Heliyon (15-04-2024)“…Hydropower stations that are part of the grid system frequently encounter challenges related to the uneven distribution of power generation and associated…”
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Impacts of shipping emissions on PM 2.5 pollution in China
Published in Atmospheric chemistry and physics (02-11-2018)“…With the fast development of seaborne trade and relatively more efforts on reducing emissions from other sources in China, shipping emissions contribute more…”
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4
Ground-level ozone pollution and its health impacts in China
Published in Atmospheric environment (1994) (01-01-2018)“…In recent years, ground-level ozone pollution in China has become an increasingly prominent problem. This study simulated and analyzed spatiotemporal…”
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An adversarial contrastive autoencoder for robust multivariate time series anomaly detection
Published in Expert systems with applications (01-07-2024)“…Multivariate time series (MTS), whose patterns change dynamically, often have complex temporal and dimensional dependence. Most existing reconstruction-based…”
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A time series anomaly detection method based on series-parallel transformers with spatial and temporal association discrepancies
Published in Information sciences (01-02-2024)Get full text
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An imbalanced contrastive classification method via similarity comparison within sample-neighbors with adaptive generation coefficient
Published in Information sciences (01-03-2024)“…Correct discrimination of samples in overlapping regions is crucial in imbalanced classification problems. Data-level methods generate new samples in…”
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An imbalanced binary classification method via space mapping using normalizing flows with class discrepancy constraints
Published in Information sciences (01-04-2023)“…For imbalanced binary classification, most methods classify data in the original space by balancing data or modifying classification algorithms. However, for…”
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An imbalanced binary classification method based on contrastive learning using multi-label confidence comparisons within sample-neighbors pair
Published in Neurocomputing (Amsterdam) (14-01-2023)“…For imbalanced classification, data-level methods can achieve inter-class balance, but the samples generated do not contain new information and cannot avoid…”
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10
Impacts of shipping emissions on PM2.5 pollution in China
Published in Atmospheric chemistry and physics (02-11-2018)“…With the fast development of seaborne trade and relatively more efforts on reducing emissions from other sources in China, shipping emissions contribute more…”
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11
A non-uniform low-light image enhancement method with multi-scale attention transformer and luminance consistency loss
Published in The Visual computer (29-05-2024)Get full text
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12
A contrastive autoencoder with multi-resolution segment-consistency discrimination for multivariate time series anomaly detection
Published in Applied intelligence (Dordrecht, Netherlands) (01-12-2023)“…Most reconstruction-based multivariate time series (MTS) anomaly detection methods tend to learn point-wise information, failing to extract a robust overall…”
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13
Global reliable data generation for imbalanced binary classification with latent codes reconstruction and feature repulsion
Published in Applied intelligence (Dordrecht, Netherlands) (01-07-2023)“…Common binary classification algorithms which learn directly from imbalanced data can lead to a bias towards the majority class. Although the over-sampling…”
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14
Impacts of shipping emissions on PM.sub.2.5 pollution in China
Published in Atmospheric chemistry and physics (02-11-2018)“…With the fast development of seaborne trade and relatively more efforts on reducing emissions from other sources in China, shipping emissions contribute more…”
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15
A Non-Uniform Low-Light Image Enhancement Method with Multi-Scale Attention Transformer and Luminance Consistency Loss
Published 27-12-2023“…Low-light image enhancement aims to improve the perception of images collected in dim environments and provide high-quality data support for image recognition…”
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