Yang Zhou

Privacy-Preserving On-Chain Attestation for Cross-Domain Data Flows via GBFPlus

Sihang Qin, Yang Zhou, Weiqi Dai, Yiming Sun et autres

Cross-domain data flows are commonplace in regulated inter-organizational environments, where durable audit evidence must be retained without publicly exposing sensitive flow metadata. This paper presents a privacy-preserving on-chain attestation framework for recorded cross-domain data transfers in a permissioned setting. Its core data …

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Correction: Study of pain perception under negative emotions and its large-scale brain network dynamics in adolescents with non-suicidal self-injury

Yang Zhou, Dongdong Zhou, Zhengyong Zhang, Fang Chen et autres

Correction:Study of pain perception under negative emotions and its large-scale brain network dynamics in adolescents with non-suicidal self-injury In the published article, there was a mistake in the Funding statement. The funding statement for the Chongqing Science and Health Joint Project was …

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Study of pain perception under negative emotions and its large-scale brain network dynamics in adolescents with non-suicidal self-injury

Yang Zhou, Dongdong Zhou, Zhengyong Zhang, Fang Chen et autres

Background: Previous studies have indicated that negative emotions are one of the primary causes of non-suicidal self-injury (NSSI) behavior. This study focuses on examining the characteristics of large-scale brain network dynamics associated with pain perception in NSSI adolescents following experiences of negative …

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Evaluating machine learning models in EEG-based thermal comfort studies: a comparative approach

Yang Zhou, Tong Zhou, Cheng Wang, Isaac Lun et autres

Abstract Thermal comfort is a critical determinant of human health, productivity, and well-being in indoor environments. While numerous studies have utilised electroencephalography (EEG) to explore human physiological responses to varying thermal conditions, comprehensive analyses that synthesise the effectiveness of various machine learning …

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Environmental protection tax, management efficiency, and enterprise green technology innovation

Yang Zhou, Qian Su

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Learning to Drive in the NGSIM Simulator Using Proximal Policy Optimization

Yang Zhou, Yunxing Chen

As a popular research field, autonomous driving may offer great benefits for human society. To achieve that, current studies often applied machine learning methods like reinforcement learning to enable an agent to interact and learn in a stimulating environment. However, most simulators …

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Evaluating the impacts of education and digitalization on renewable energy demand behaviour: new evidence from Japan

Yang Zhou, Zhengyan Liu, Meng Wang, Rebecca Kechen Dong et autres

Increasing renewable energy consumption is considered the panacea to tackle the issue of global warming and energy security. The digitalization of society can provide smart solutions for energy and environmental-related issues. Similarly, education can bring environmental awareness and encourage individuals and firms …

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An artificial intelligence model based on multi-step feature engineering and deep attention network for optical network performance monitoring

Yang Zhou, Zhuojia Yang, Qiang Sun, Chengqing Yu et autres

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Traffic Volatility Forecasting Using an Omnibus Family GARCH Modeling Framework

Jishun Ou, Xiangmei Huang, Yang Zhou, Zhigang Zhou et autres

Traffic volatility modeling has been highly valued in recent years because of its advantages in describing the uncertainty of traffic flow during the short-term forecasting process. A few generalized autoregressive conditional heteroscedastic (GARCH) models have been developed to capture and hence forecast …

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A Method for High-Voltage Electric Field to Control Inkjet 3D Printing

Jian Liu, Yang Zhou, Huixuan Zhu, Jingwei Guo

Aiming at the problem of low printing resolution due to the excessively fast droplet falling speed of traditional inkjet 3D printing, a new method of high-voltage electric field controlled inkjet 3D printing was proposed. By applying a high-voltage electric field during the …

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Natural resources commodity prices volatility: Evidence from COVID-19 for the US economy

Yang Zhou, Xiaoxiao Wang, Rebecca Kechen Dong, Ruihui Pu et autres

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Research on the Prediction of the Operational Risk Field of Intelligent Vehicles Based on Dual Multiline LiDAR

Ruibin Zhang, Yingshi Guo, Chang Wang, Yang Zhou et autres

To effectively evaluate the risk situation between intelligent vehicles and surrounding traffic participants in complex scenes, a complex traffic environment perception technology based on dual multiline light detection and ranging (LiDAR) is proposed in this work. The vehicle motion state is predicted …

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