Xu Cheng – författare
Visar alla böcker från författaren Xu Cheng. Handla med fri frakt och snabb leverans.
5 produkter
Ship As Wave Buoy: Data-Driven Sea State Estimation Based on Ship Motion Data
Av Xu Cheng, Mengna Liu m. fl.
Inbunden, 2026
1858 kr
Lägg i varukorg
This book focuses on a comprehensive investigation into data-driven Sea State Estimation (SSE) by leveraging a vessel’s own motion data. It presents a collection of advanced deep learning frameworks designed to overcome critical, real-world challenges inherent in this approach. This book …
Ship As Wave Buoy: Data-Driven Sea State Estimation Based on Ship Motion Data
Av Shengyong Chen, Houxiang Zhang m. fl.
E-bok, 2026
2437 kr
Lägg i varukorg
This book focuses on a comprehensive investigation into data-driven Sea State Estimation (SSE) by leveraging a vessel’s own motion data. It presents a collection of advanced deep learning frameworks designed to overcome critical, real-world challenges inherent in this approach. This book …
Computational Methods for Blade Icing Detection of Wind Turbines
Inbunden, 2025
1641 kr
Lägg i varukorg
This book thoroughly explores the realm of data-driven blade-icing detection for wind turbines, focusing on multivariate time series classification to enhance the reliability and efficiency of wind energy utilization. The widespread prevalence of sensor technology in wind turbines, coupled with …
Computational Methods for Blade Icing Detection of Wind Turbines
Av Shengyong Chen, Xiufeng Liu m. fl.
E-bok, 2025
2111 kr
Lägg i varukorg
This book thoroughly explores the realm of data-driven blade-icing detection for wind turbines, focusing on multivariate time series classification to enhance the reliability and efficiency of wind energy utilization. The widespread prevalence of sensor technology in wind turbines, coupled with …
Computational Methods for Blade Icing Detection of Wind Turbines
Häftad, 2026
1641 kr
Lägg i varukorg
This book thoroughly explores the realm of data-driven blade-icing detection for wind turbines, focusing on multivariate time series classification to enhance the reliability and efficiency of wind energy utilization. The widespread prevalence of sensor technology in wind turbines, coupled with …
