Rong Fan
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View article: Tuning of ILADRC for CFB Boiler Combustion System Based on LF-DCSSA Algorithm
Tuning of ILADRC for CFB Boiler Combustion System Based on LF-DCSSA Algorithm Open
Aiming at the problem that it is difficult to adjust the parameters of the controller in the circulating fluidized bed (CFB) boiler combustion system due to its multivariable and strong coupling, an improved linear active disturbance rejec…
View article: Research on Transformer-Based Multilingual Machine Translation Methods
Research on Transformer-Based Multilingual Machine Translation Methods Open
Because of the great difference in word order between different languages in machine translation, the translation model has the problem of wrong translation. Translation models with the same target language and different source languages l…
View article: Impact of Medical–Pharmaceutical Separation Reform on Hospitalization Expenditure in Tertiary Public Hospitals: Difference-in-Difference Analysis Based on Panel Data from Beijing
Impact of Medical–Pharmaceutical Separation Reform on Hospitalization Expenditure in Tertiary Public Hospitals: Difference-in-Difference Analysis Based on Panel Data from Beijing Open
The MPS reform may significantly optimize the hospitalization expenditure structure and control irrational increases in expenditure. DRG payment can control the tendency to increase the proportions of medical consumables expenditure after …
View article: TDANet: A Novel Temporal Denoise Convolutional Neural Network With Attention for Fault Diagnosis
TDANet: A Novel Temporal Denoise Convolutional Neural Network With Attention for Fault Diagnosis Open
Fault diagnosis plays a crucial role in maintaining the operational integrity of mechanical systems, preventing significant losses due to unexpected failures. As intelligent manufacturing and data-driven approaches evolve, Deep Learning (D…
View article: Substation Personnel Fall Detection Based on Improved YOLOX
Substation Personnel Fall Detection Based on Improved YOLOX Open
With the continuous promotion of smart substations, staff fall detection has become a key issue in automatic detection of substations. The injuries and safety hazards caused by falls among substation personnel are numerous. If a timely res…
View article: RFFsNet-SEI: A Multidimensional Balanced-RFFs Deep Neural Network Framework for Specific Emitter Identification
RFFsNet-SEI: A Multidimensional Balanced-RFFs Deep Neural Network Framework for Specific Emitter Identification Open
Existing specific emitter identification (SEI) methods based on hand-crafted features have drawbacks of losing feature information and involving multiple processing stages, which reduce the identification accuracy of emitters and complicat…
View article: Spatial omics representation and functional tissue module inference using graph Fourier transform
Spatial omics representation and functional tissue module inference using graph Fourier transform Open
Tissue module (TM) is a spatially organized tissue region and executes specialized biological functions, recurring and varying at different tissue sites. However, the computational identification of TMs poses challenges due to their convol…
View article: YOLO-DoA: A lightweight, real-time, and effective implementation for DoA estimation
YOLO-DoA: A lightweight, real-time, and effective implementation for DoA estimation Open
In this correspondence, an efficient YOLOv3-based approach for DoA estimation named YOLO-DoA is proposed, which is implemented as a detection task to spatially separated angular boxes. DoAs of sources with confidence scores are directly pr…
View article: YOLO-DoA: A lightweight, real-time, and effective implementation for DoA estimation
YOLO-DoA: A lightweight, real-time, and effective implementation for DoA estimation Open
In this correspondence, an efficient YOLOv3-based approach for DoA estimation named YOLO-DoA is proposed, which is implemented as a detection task to spatially separated angular boxes. DoAs of sources with confidence scores are directly pr…
View article: Detection of Abnormal Oil Data Based on Feature Selection
Detection of Abnormal Oil Data Based on Feature Selection Open
To achieve effective oil management, it is critical to disclose the laws of oil supply, consumption, and natural loss through data analysis.However, the accuracy of data analysis is often suppressed by the mistakes and irrelevance of the i…