Search Results - "Pang, Xiongwen"
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1
An innovative neural network approach for stock market prediction
Published in The Journal of supercomputing (01-03-2020)“…This paper aims to develop an innovative neural network approach to achieve better stock market predictions. Data were obtained from the live stock market for…”
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A novel parameter decoupling approach of personalised federated learning for image analysis
Published in IET computer vision (01-12-2023)“…Given the importance of privacy protection in databases and other institutions, federated learning (FL) is used to benefit training machine learning models…”
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CIR-Net: Automatic Classification of Human Chromosome Based on Inception-ResNet Architecture
Published in IEEE/ACM transactions on computational biology and bioinformatics (01-05-2022)“…Background: In medicine, karyotyping chromosomes is important for medical diagnostics, drug development, and biomedical research. Unfortunately, chromosome…”
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Deep Learning for Diagnosis and Classification of Obstructive Sleep Apnea: A Nasal Airflow-Based Multi-Resolution Residual Network
Published in Nature and science of sleep (01-01-2021)“…This study evaluated a novel approach for diagnosis and classification of obstructive sleep apnea (OSA), called Obstructive Sleep Apnea Smart System (OSASS),…”
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5
Budget-deadline constrained approach for scientific workflows scheduling in a cloud environment
Published in Cluster computing (01-06-2023)“…In cloud computing environments, it is a great challenge to schedule a workflow application because it is an NP-complete problem. Particularly, scheduling…”
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A novel approach to diagnose sleep apnea using enhanced frequency extraction network
Published in Computer methods and programs in biomedicine (01-07-2021)“…•We propose an enhanced frequency extraction network. It is an optimal architecture that automatically extracts sleep apnea-hypopnea events features from the…”
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A novel syntax-aware automatic graphics code generation with attention-based deep neural network
Published in Journal of network and computer applications (01-07-2020)“…Recent advances in deep learning have made it possible to automatically translate graphical user interface (GUI) into code by an encoder-decoder framework…”
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Review of Intelligent Device Fault Diagnosis Based on Deep Learning
Published in Ji suan ji ke xue (01-01-2023)“…Intelligent fault diagnosis applies deep learning theory to equipment fault diagnosis, which can automatically identify the health state and fault type of…”
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Multi-scale residual denoising GAN model for producing super-resolution CTA images
Published in Journal of ambient intelligence and humanized computing (01-03-2022)“…Computed tomography angiography (CTA) is one of the salient radiological techniques in the virtualization and diagnosis of cerebral vascular diseases. However,…”
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A heuristic task scheduling algorithm based on server power efficiency model in cloud environments
Published in Sustainable computing informatics and systems (01-12-2018)“…•This paper presents a power efficiency model for cloud servers to explore server power efficiency to guide task scheduling.•The power model and performance…”
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11
RealFuVSR: Feature Enhanced Real-World Video Super-Resolution
Published in Virtual Reality & Intelligent Hardware (01-12-2023)“…Background: The recurrent recovery is one of the common methods for video super-resolution, which models the correlation between frames via hidden states…”
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Joint Detection Model Based on YOLOv5 to Detect Lithium Battery Defects with Noisy Label
Published in 2022 7th International Conference on Computational Intelligence and Applications (ICCIA) (24-06-2022)“…Data-driven intelligent detection methods have been widely used in the detection of defects in lithium batteries, with outstanding results. However, there are…”
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