Jianguo Zhou

Remediation of Waste Sealing Mud from Moutai: Enhancing Organics and Nitrogen Removal Simultaneously via the Cycle of Indigenous Iron

Riyu Song, Jianguo Zhou, Xinyi Wu, Chang-Hui Hu et autres

After a period of sealing the cellar for Maotai-flavor liquor brewing, the sealing mud can no longer be used due to the accumulation of organics and nitrogen. In this study, a method for restoring waste mud driven by the cycle of indigenous …

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Significant wave height prediction based on improved fuzzy C-means clustering and bivariate kernel density estimation

Jianguo Zhou, Luming Zhou, Yunlong Zhao, Kai Wu

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Mendelian randomization in Alzheimer’s disease and mild cognitive impairment: Hippocampal volume associations

Jianguo Zhou, Lei Gong, Xiaoli Liu, Liping Chen

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Multi-Objective Optimized GPSR Intelligent Routing Protocol for UAV Clusters

Hao Chen, Fan Luo, Jianguo Zhou, Yanming Dong

Unmanned aerial vehicle (UAV) clusters offer significant potential in civil, military, and commercial fields due to their flexibility and cooperative capabilities. However, characteristics such as dynamic topology and limited energy storage bring challenges to the design of routing protocols for UAV networks. …

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Multi-step ozone concentration prediction model based on improved secondary decomposition and adaptive kernel density estimation

Jianguo Zhou, Luming Zhou, Chenhao Cai, Yunlong Zhao

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An Empirical Analysis on Correlation between Exchange Rate and CSI 300 Index under Sino-US Trade Friction

Jianguo Zhou

This paper studies the correlation between USD/RMB exchange rate and CSI 300 index in the context of Sino-US trade frictions. Through ADF unit root test, Johanson cointegration test, impulse response and variance decomposition, VAR model and other empirical tests, the results reveal …

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Enhancing Organics and Nitrogen Removal Simultaneously in Waste Sealing Mud from Moutai Via the Cycle of Indigenous Iron

Riyu Song, Fangzheng Wang, Jianguo Zhou, Jinlai Yuan et autres

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A novel three-stage hybrid learning paradigm based on a multi-decomposition strategy, optimized relevance vector machine, and error correction for multi-step forecasting of precious metal prices

Jianguo Zhou, Zhongtian Xu

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A novel dual-scale ensemble learning paradigm with error correction for predicting daily ozone concentration based on multi-decomposition process and intelligent algorithm optimization, and its application in heavily polluted regions of China

Jianguo Zhou, Zhongtian Xu, Shiguo Wang

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Forecasting CO2 Emissions in China’s Construction Industry Based on the Weighted Adaboost-ENN Model and Scenario Analysis

Jianguo Zhou, Xiaolei Xu, Wei Li, Fengtao Guang et autres

As a pillar industry of national economy, China’s construction industry is still facing the status of substantial energy consumption and high CO2 emissions, which is a key field of energy conservation and emission reduction. In CO2 emissions research, it is essential to …

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Analyzing and Predicting CO2 Emissions in China Based on the LMDI and GA-SVM Model

Jianguo Zhou, Xuechao Yu, Fengtao Guang, Wei Li

With the effect of CO 2 emissions being the primary cause of the greenhouse effect, a selection and analysis study of driving factors of CO 2 emissions is vital to controlling growth from the source.This paper decomposes CO 2 emissions based on …

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Scenario Analysis of Carbon Emissions of China’s Power Industry Based on the Improved Particle Swarm Optimization-Support Vector Machine Model

Jianguo Zhou, Fengtao Guang, Ruiping Tang

The power industry, as the primary source of carbon emissions across China, should take more responsibility to effectively reduce carbon emissions.Affected by various factors, carbon emissions from the power industry show non-linear and non-stationary characteristics.To forecast carbon emissions precisely and effi ciently, …

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