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304 Result(s)
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Chapter and Conference Paper
Multi-agent Simulation System for Carbon Market Demand Under the Goal of “Carbon Peaking and Carbon Neutrality”
In the implementation of the goal of carbon peaking carbon neutrality and the construction of a new power system with new energy as the main body, carbon market and energy transformation as an important part o...
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Chapter and Conference Paper
Exploring Vibration Characteristics in Dual-Turbine Generator Sets for Ocean Thermal Energy Conversion
In order to study the problems related to the vibration characteristics of an ocean thermal energy dual-turbine generator set, we established a three-dimensional model of the unit's rotor system and used harmo...
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Chapter and Conference Paper
Analysis of Cyclic Characteristics of Pressure Energy Utilization in Ocean Thermal Energy Conversion
Closed cycle is the most commonly used type of cycle in ocean thermal energy conversion. In order to recover and utilize the pressure energy of ammoniac-poor solution in the process of non-azeotropic working f...
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Chapter and Conference Paper
Motion-Aware Topology Learning for Skeleton-Based Action Recognition
Graph convolutional networks have achieved great success in skeleton-based action recognition area, in which topology learning is the key component for extracting representative features. In this paper, we pro...
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Chapter and Conference Paper
Research on Road Traversability Detection Using Edge Computing and Deep Learning
Oriented to the challenges of unstructured environments such as fuzzy road features, variable road types, lack of clear road boundaries, and high real-time maneuvering requirements of unmanned platforms, a pas...
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Chapter and Conference Paper
Study on the Classification Method of the Usage Severity of Aircraft Structures
The high overload and high maneuverability in the training course result in the structural damage and the life consumption speed is accelerated, the use of each model is obviously higher than the expected use,...
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Chapter and Conference Paper
Optimization of Differential Protection for Converter Transformers Based on Lateral Differential Current Identification
In response to the problem of slow differential protection action caused by the continuous blocking of the second harmonic braking criterion during the actual inter turn short circuit fault of ultra-high volta...
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Chapter and Conference Paper
GSCA-Net: A Global Spatial Channel Attention Network for Kidney, Tumor and Cyst Segmentation
Automatic segmentation of the kidney, tumor, and cysts is crucial for the treatment of renal cancer. In this paper, we employed a 3D residual U-Net architecture as the pre-processing method to extract the regi...
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Chapter and Conference Paper
Learning Dense UV Completion for 3D Human Mesh Recovery
Human mesh reconstruction from a single image is a challenging task due to the occlusion caused by self, objects, or other humans. Existing methods either fail to separate human features accurately or lack pro...
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Chapter and Conference Paper
Combine Synergetic Approach with Multi-scale Feature Fusion for Boosting Abdominal Multi-organ and Pan-Cancer Segmentation
Due to the capability of abdominal images to accurately represent the spatial distribution and size relationships of lesion components in the body, precise segmentation of these images can significantly assist...
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Chapter and Conference Paper
Two-Stage Segmentation Framework with Parallel Decoders for the Kidney and Kidney Tumor Segmentation
Kidney cancer is one of the most common cancers worldwide. Automated segmentation of kidneys, tumors, and cysts from CT images is an important pathway to assist doctors in diagnosis. However, the diverse morph...
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Chapter and Conference Paper
Design and Realization of Encoders Based on Switching Circuit
With the rapid development of DNA nanotechnology, a variety of flexible molecular computing models and logic computing systems have been proposed and constructed. Among them, the switching circuit model based ...
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Chapter and Conference Paper
CMFN: Cross-Modal Fusion Network for Irregular Scene Text Recognition
Scene text recognition, as a cross-modal task involving vision and text, is an important research topic in computer vision. Most existing methods use language models to extract semantic information for optimiz...
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Chapter and Conference Paper
A Novel Transient Pressure Analysis Model for Horizontal Well in Gas Reservoir with Finite Water Bodies
Bottom water is regarded as infinite rigid water body in common bottom water gas reservoir well test model and the water body size is not taken into account, aiming at this problem, using Green's function and ...
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Chapter and Conference Paper
Research on Strain Monitoring Point Optimization of Wing Box Based on Load Inversion
To improve the level of intelligent and information-based design of aircraft structural platform, the key link is to establish a reliable and effective monitoring system. Reasonable selection and optimal arran...
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Chapter and Conference Paper
A High-Quality Video Reconstruction Optimization System Based on Compressed Sensing
The video compression sensing method based on multi hypothesis has attracted extensive attention in the research of video codec with limited resources. However, the formation of high-quality prediction blocks ...
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Chapter and Conference Paper
Research on the Similarity Relationship of Wing-Body Fusion Aircraft Based on the Scaled Model
Through the analysis of the aerodynamic characteristics of model aircraft with a scale of 12.5%, 50% and full-size, respectively, the feasibility of using a scaled model to simulate a full-size aircraft is pro...
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Chapter and Conference Paper
ECNU-LLM@CHIP-PromptCBLUE: Prompt Optimization and In-Context Learning for Chinese Medical Tasks
Our team, ECNU-LLM, presents a method of in-context learning for enhancing the performance of large language models without fine-tuning in the 9th China Health Information Processing Conference (CHIP 2023) Ope...
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Chapter and Conference Paper
The Advancement of Knowledge Graphs in Cybersecurity: A Comprehensive Overview
With the increasing complexity of artificial intelligence technology and network environments, cybersecurity is facing massive and complex data. Knowledge graphs have the potential to aggregate, represent, man...
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Chapter and Conference Paper
Study on Optimization of the Adjustment Mechanism for the Allocation of Funds for Transferring Consumption Tax on Refined Oil Products
The reform of prices and taxes of refined oil products has great and far-reaching significance in financing the construction and maintenance of transportation infrastructure in accordance with the law and prom...