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Conference Paper
**an** Song
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Chapter and Conference Paper
Correction to: Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI
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Chapter and Conference Paper
Short-Term PV Prediction Based on a Hybrid Algorithm Based on EMD-KPCA-LSTM Network
Photovoltaic power generation is greatly affected by multi-dimensional environmental factors, and the accuracy of PV power prediction brings about great challenges on the scheduling, safe operation and stabili...
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Chapter and Conference Paper
Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI
Resting-state fMRI (rs-fMRI) functional connectivity (FC) analysis provides valuable insights into the relationships between different brain regions and their potential implications for neurological or psychia...
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Chapter and Conference Paper
Airfoil Optimization of Wing-in-Ground Craft Considering Anti-waves Ability
The WIG (Wing-in-Ground) craft is a novel vehicle that makes use of the ground effect to realize cruising above the water. Under the influence of ocean waves, the wing may experience lift oscillation, posing a...
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Chapter and Conference Paper
Low-Boom Design of a T-tail Supersonic Transport Configuration
Sonic boom remains the primary bottleneck restraining commercial supersonic overland flight. However, designing a low-boom supersonic transport configuration with high aerodynamic efficiency is still a signifi...
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Chapter and Conference Paper
The Method of Establishing Equivalent Q Value Model for Compensating Medium Absorption
Seismic resolution is a technical bottleneck restricting reservoir identification and description under thin interbed geological conditions in the Songliao Basin. Compensating for the absorption and attenuatio...
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Chapter and Conference Paper
YOLO-SA: An Efficient Object Detection Model Based on Self-attention Mechanism
Object detector based on CNN structure has been widely used in object detection, object classification and other tasks. The traditional CNN module usually adopts complex multi-branch design, which reduces the ...
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Chapter and Conference Paper
Simulation Study of Fire Spread on Exterior Wall of Twin-Tower High-Rise Building Linked with Connective Structures
When a fire occurs in a Twin-tower high-rise building linked with connective structures, it will spread laterally through the connective structures, causing greater damage. In this paper, PyroSim is used to si...
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Chapter and Conference Paper
Incorporating Syntactic Cognitive in Multi-granularity Data Augmentation for Chinese Grammatical Error Correction
Chinese grammatical error correction (CGEC) has recently attracted a lot of attention due to its real-world value. The current mainstream approaches are all data-driven, but the following flaws still exist. Fi...
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Chapter and Conference Paper
Distribution of Wood Residual Strain Around Holes Due to Drilling
Drilling-induced residual strain of timber member around fastener holes (such as bolts) often leads to deterioration of mechanical properties. In this paper, the effects of diameter of holes (14, 18 and 22 mm)...
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Chapter and Conference Paper
Within- and Between-Class Sample Interpolation Based Supervised Metric Learning for Speaker Verification
Metric learning aims to pull together the samples belonging to the same class and push apart those from different classes in embedding space. Existing methods may suffer from inadequate and low-quality sample ...
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Chapter and Conference Paper
Research on Optimal Adhesion Control of High-Speed Train Based on Extremum Seeking Algorithm
The safe and smooth operation of High-Speed trains depends on the adhesion between the wheels and the tracks. In complex track conditions such as rain and snow, wheel slip frequently occurs, leading to a signi...
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Chapter and Conference Paper
Oriented Oilfield Structured Data Quality Assessment Model
Since the utilization of data analytics in oil field industry, data mining has become increasingly important. Various decision-making algorithms derived from data are closely related to the quality of data, wh...
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Chapter and Conference Paper
Research and Application of Hydrogen Sulfide Absorbent for Acid Cleaning and Scale Removal
This paper analyzes the composition of the scale samples from the injected water and the pipe strings of Qinghai Gasi Oilfield and determines that the scale samples are mainly composed of carbonate components ...
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Chapter and Conference Paper
Efficient Multi-object Detection for Complexity Spatio-Temporal Scenes
Multi-Object detection in traffic scenarios plays a crucial role in ensuring the safety of people and property, as well as facilitating the smooth flow of traffic on roads. However, the existing algorithms are...
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Chapter and Conference Paper
STTR-3D: Stereo Transformer 3D Network for Video-Based Disparity Change Estimation
In the field of computer vision and stereo depth estimation, there has been little research in obtaining high-accuracy disparity change maps from two-dimensional images. This map offers information that fills ...
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Chapter and Conference Paper
ECS-STPM: An Efficient Model for Tunnel Fire Anomaly Detection
The fire spreads rapidly in the tunnel due to the narrow space and high sealing, which makes rescue hard and threatens the citizen’s lives. However, the lack of public fire datasets makes it challenging for ne...
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Chapter and Conference Paper
Tripartite Architecture License Plate Recognition Based on Transformer
Under natural conditions, license plate recognition is easily affected by factors such as lighting and shooting angles. Given the diverse types of Chinese license plates and the intricate structure of Chinese ...
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Chapter and Conference Paper
Self-training with Domain-Mixed Data for Few-Shot Domain Adaptation in Medical Image Segmentation Tasks
Deep learning has shown significant progress in medical image analysis tasks such as semantic segmentation. However, deep learning models typically require large amounts of annotated data to achieve high accur...
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Chapter and Conference Paper
Intelligent Distribution Platform of Art Education Resources Based on Association Rules Mining
Association rule mining is an important branch of data mining research. It can dig out unknown or hidden relationships among items or attributes in the database. The Apriori improved algorithm based on associa...
