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Hybrid Grey PIPRECIA and Grey OCRA method-based dynamic multi-criteria decision-making model for mitigating non-cooperating node attacks in WSNs
Cooperation among sensor nodes is always essential for achieving reliable data dissemination in Wireless Sensor Network (WSNs). The sensor nodes can...
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Dynamic evaluation of regional economic resilience under major public emergencies: based on an improved dynamic evaluation model of grey incidence projection-fuzzy matter element
The sudden outbreak of COVID-19 in 2020 causes great impact on the economic development of all countries and even the whole world. Under the...
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A novel fractional neural grey system model with discrete q-derivative
The challenge of predicting time series with limited data has evolved over time due to nonlinearity, complexity, and limited information. It can be...
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A novel grey prediction model with a feedforward neural network based on a carbon emission dynamic evolution system and its application
The objective and accurate prediction of carbon dioxide emissions holds great significance for improving governmental energy policies and plans....
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Dynamic 3D Path Planning for UAV Based on Enhanced Grey Wolf Optimization Algorithm
The enhanced grey wolf optimization algorithm is proposed for the path planning problem of UAV in a multi-obstacle and dynamic obstacle environment....
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Green or grey stocks? Dynamic effects of carbon markets based on Chinese practices
Carbon trading and new energy markets are two key mechanisms for carbon reduction. However, theoretical analysis cannot reveal the complex links...
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Forecasting the amount of domestic waste clearance in Shenzhen with an optimized grey model
As a leading economic center in China and an international metropolis, Shenzhen has great significance in promoting sustainable urban development. To...
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A Novel Rolling and Fractional-ordered Grey System Model and Its Application for Predicting Industrial Electricity Consumption
Accurate and reasonable prediction of industrial electricity consumption is of great significance for promoting regional green transformation and...
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Prediction method of building inclination around foundation pit based on Grey Model
In order to improve the prediction accuracy and effect of building inclination around foundation pit, a prediction method of building inclination...
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Prediction of servo industry development in China by an optimized reverse Hausdorff fractional discrete grey power model
In order to accurately predict the development of the servo industry in China, this study proposes a Hausdorff fractional reverse accumulated grey...
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Grey prediction model based on Euler equations and its application in highway short-term traffic flow
As the urbanization rate in China has continued to increase, the highway congestion problem has become more severe, significantly reducing the...
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A novel fractional-order grey prediction model: a case study of Chinese carbon emissions
Objective and accurate prediction of carbon emissions can provide a basis for the country to achieve carbon emission reduction targets and can also...
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Epileptic Seizure Classification and Feature Optimization Technique Using Grey Wolf Algorithm on Dynamic Datasets
Epileptic seizure (ES) is caused due to the unpredictable and imbalanced discharge of electric signals causing a muscle ruptures. The instance is...
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Hybrid Bayesian and modified grey PROMETHEE-AL model-based trust estimation technique for thwarting malicious and selfish nodes in MANETs
Cooperation among mobile nodes during the routing process is indispensable for attaining reliable data delivery between the source and destination...
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The research on a novel multivariate grey model and its application in carbon dioxide emissions prediction
Accurate small-sample prediction is an urgent, very difficult, and challenging task due to the quality of data storage restricted in most realistic...
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Application of a novel grey model GM(1, 1, exp × sin, exp × cos) in China’s GDP per capita prediction
In the grey prediction, the GM(1, 1) model is an important type, but it sometimes shows big prediction errors. To improve the prediction precision of...
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Utilizing multi-population ant colony system and exponential grey prediction model for multi-objective virtual machine consolidation in Cloud Data Centers
Cloud Data Centers (CDCs) play a crucial role in meeting the increasing demand for scalable computing resources, facilitated by virtualization...
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Model for the Selection of Grey Research Methods in Management Sciences
The chapter discusses the application of Grey Systems Theory (GST) in management science, focussing on selecting the right methods for various...
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Forecast of clean energy generation in China based on new information priority nonlinear grey Bernoulli model
The forecast of clean energy power generation is of major prominence to energy structure adjustment and the realization of sustainable economic...
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Forecasting the renewable energy consumption of Australia by a novel grey model with conformable fractional opposite-direction accumulation
The accurate prediction of renewable energy consumption (REC) is of great significance to ensure energy security, reduce dependence on fossil energy,...
