Search Results - "Based on data-driven algorithms"

A Review of SOH Prediction of Li-Ion Batteries Based on Data-Driven Algorithms by Zhang, Ming, Yang, Dongfang, Du, Jiaxuan, Sun, Hanlei, Li, Liwei, Wang, Licheng, Wang, Kai

“…As an important energy storage device, lithium-ion batteries (LIBs) have been widely used in various fields due to their remarkable advantages. The high level…”
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Predicting Irrigation Water Quality Indices Based on Data-Driven Algorithms: Case Study in Semiarid Environment by Dimple, Dimple, Rajput, Jitendra, Al-Ansari, Nadhir, Elbeltagi, Ahmed

“…Ascertaining water quality for irrigational use by employing conventional methods is often time taking and expensive due to the determination of multiple…”
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Active Defense Research against False Data Injection Attacks of Power CPS Based on Data-Driven Algorithms by Bo, Xiaoyong, Qu, Zhaoyang, Wang, Lei, Dong, Yunchang, Zhang, Zhenming, Wang, Da

“… This paper proposes an active defense framework against FDIAs of power CPS based on data-driven algorithms in order to ensure that FDIAs can be efficiently detected and processed in real-time…”
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A comprehensive review of state-of-charge and state-of-health estimation for lithium-ion battery energy storage systems by Tao, Junjie, Wang, Shunli, Cao, Wen, Takyi-Aninakwa, Paul, Fernandez, Carlos, Guerrero, Josep M.

“…With the gradual transformation of energy industries around the world, the trend of industrial reform led by clean energy has become increasingly apparent. As…”
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A Novel Combined Electricity Price Forecasting Method Based on Data Driven Algorithms by Zhnag, Liang, Zou, Bin, Wang, Hongtao

“…In the deregulated electricity market, accurate knowledge of electricity price tend helps maximize the profitability of the participants in the electricity…”
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Prediction of Li-ion battery state of health based on data-driven algorithm by Sun, Hanlei, Yang, Dongfang, Du, Jiaxuan, Li, Ping, Wang, Kai

“…Li-ion battery state of health (SOH) is a key parameter for characterizing actual battery life. SOH cannot be measured directly. In order to further improve…”
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Modelling of soil permeability using different data driven algorithms based on physical properties of soil by Singh, Vijay Kumar, Kumar, Devendra, Kashyap, P.S., Singh, Pramod Kumar, Kumar, Akhilesh, Singh, Sudhir Kumar

“…•The W-RF algorithm have the highest accuracy and efficiency for soil permeability prediction.•The results of sensitivity analysis show that…”
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A data-driven method for the estimation of shallow landslide runout by Giarola, Alessia, Meisina, Claudia, Tarolli, Paolo, Zucca, Francesco, Galve, Jorge Pedro, Bordoni, Massimiliano

“… scale or applicable at a larger scale but highly simplified. The present work aims to develop a method based on data-driven algorithms for predicting the runout…”
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Meteorological Impacts on Rubber Tree Powdery Mildew and Projections of Its Future Spatiotemporal Pattern by Kong, Jiayan, Wu, Lan, Cao, Jiaxin, Cui, Wei, Nie, Tangzhe, An, Yinghe, Sun, Zhongyi

“… using a structural equation model, and project current and future RTPM outbreak patterns under different climate change scenarios by building predictive models based on data-driven algorithms…”
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An autonomous recognition framework based on reinforced adversarial open set algorithm for compound fault of mechanical equipment by Wang, Zisheng, Xuan, Jianping, Shi, Tielin

“…How to automatically recognize compound fault of mechanical equipment based on data-driven algorithms, has always been a research focus in modern intelligent manufacturing…”
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83‐3: Inverse Design of Liquid Crystal Phase Modulators for 2D/3D Switchable Display Based on Deep Learning by Chen, Qian, Tang, Mingyuan, Sun, Changli, Lu, Jiangang

“… At the same time, optical inverse design based on data‐driven algorithms is also a highly popular topic…”
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An Integrated Counterfactual Sample Generation and Filtering Approach for SAR Automatic Target Recognition with a Small Sample Set by Cao, Changjie, Cui, Zongyong, Cao, Zongjie, Wang, Liying, Yang, Jianyu

“…Although automatic target recognition (ATR) models based on data-driven algorithms have achieved excellent performance in recent years, the synthetic aperture radar (SAR…”
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Deep Transfer Network With Multi-Kernel Dynamic Distribution Adaptation for Cross-Machine Fault Diagnosis by Lv, Mingzhu, Liu, Shixun, Su, Xiaoming, Chen, Changzheng

“…Recently, various deep learning models, which are mainly based on data-driven algorithms, have received more and more attention in the field of intelligent fault diagnosis and prognostics…”
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Designing a Knowledge Graph with Data-Driven Algorithms to Optimize Matching People and Jobs and Ranking Skills by Elnaz Nasirzadeh

“…Background & Purpose: The job market has recently undergone significant changes due to the factors such as digitalization, the tendency to work remotely, and…”
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Novel Mahalanobis Distance and Variable Nearest Neighbors to Construct Weight Matrix based LPP: Application of Fault Diagnosis by Zhu, Qun-Xiong, Qing, Hao-Yang, Zhang, Ning, Xu, Yuan, He, Yan-Lin

“…Fault diagnosis techniques based on data-driven algorithms go mainstream gradually in industrial processes…”
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基于数据驱动的电力系统虚假数据注入攻击防御框架的研究 by 陈柏任, 夏候凯顺, 李梦诗

“…TM769; 电力系统状态估计(power system state estimation,PSSE)在现代智能电网的稳定运行中起着至关重要的作用,但它也容易遭受网络攻击.虚假数据注入攻击(false data…”
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