52 Result(s)
within
Computer Science
Computational Intelligence
**xi Ma
Chapter
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Chapter and Conference Paper
Power Transmission and Transformation Risk Management System Based on EWM Calculation and AHP
Aiming at the evaluation and management of transmission project investment risk under the new power market environment, a scheme combining the analytical hierarchy process (AHP) and the entropy weight method (...
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Chapter and Conference Paper
System Development of Operation Ecological Chain of E-commerce Service Outsourcing Enterprises Under Data Mining Technology
At present, with the continuous expansion of the number and scale of enterprises, e-commerce service outsourcing, as an emerging product, has encountered some challenges in its development process. With the ac...
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Chapter and Conference Paper
Research on the Application of Computer Graphics Image Processing Technology
The application of image processing technology is critical in intelligent computer graphics images; however, it has an issue with erroneous performance positioning. The typical Grid algorithm is unable to addr...
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Chapter and Conference Paper
Development and Application of BP Neural Network in the Modern Economic Management System
The requirement of modern economic management is getting higher and higher, which makes the traditional management mode not applicable, so it needs to be improved. Under this background, this paper will study ...
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Chapter and Conference Paper
Research on Facial Expression Animation Technology Based on K-means Algorithm
Animation technology plays an important role in intelligent face expressions, but there is a problem of inaccurate capture and positioning.
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Chapter and Conference Paper
Multivariate Time Series Anomaly Detection Method Based on mTranAD
Multivariate time series anomaly detection is a crucial area of research in several domains, including finance, logistics, and manufacturing. Successfully identifying abnormal behaviors or events can help prev...
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Chapter and Conference Paper
Automatic Text Extractive Summarization Based on Text Graph Representation and Attention Matrix
Automatic text summarization via representing a text as a graph has been investigated for over ten years. With the developments of attention mechanism and Transformer on natural language processing (NLP), it i...
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Chapter and Conference Paper
Time Series Prediction of 5G Network Data Based on Improved EEMD-BiLSTM Prediction Model
5G networks are designed to support various emerging applications, such as the Internet of Things (IoT), autonomous vehicles, and smart cities, which require low latency, high throughput, and reliable connecti...
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Chapter and Conference Paper
Credit Risk Assessment Model of Supply Chain Finance Under the Background of Big Data
Financial institutions must clarify the logical relationship of supply chain finance operations, objectively evaluate the qualifications of credit entities, and strengthen credit risk early warning and prevent...
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Chapter and Conference Paper
A Large-Scale Multi-objective Brain Storm Optimization Algorithm Based on Direction Vectors and Variance Analysis
Large-scale multi-objective optimization problems (LSMOPs) can lead to the conventional reproduction operator being inefficient for searching. Therefore, we propose a large-scale multi-objective brain storm op...
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Chapter and Conference Paper
Balancing Measurement Efficiency, Test Diversity and Security for Item Selection in On-the-Fly Assembled Multistage Adaptive Testing via a Multi-objective Evolutionary Algorithm
On-the-fly assembled multistage adaptive testing (OMST) is a recently emerging computer-administered test form and has been employed in a variety of large-scale examinations. Item selection is a key challenge ...
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Chapter and Conference Paper
Application of Ant Colony Algorithm in Chinese Language and Literature Education
In this study, we apply ant colony algorithm to Chinese language and literature education. We believe that this is a good way to improve the quality of Chinese language and literature education. This method ca...
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Chapter and Conference Paper
College Students’ Learning Engagement Based on Engineering Thinking
One of the cores of engineering thinking is system thinking, which solves problems systematically with scientific theory. Engineering thinking is problem-solving oriented. It conducts research and planning aro...
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Chapter and Conference Paper
A Survey on Multimodal Named Entity Recognition
Multimodal Named Entity Recognition (MNER) is a task of identifying entities with specific semantic types from natural language text and using image information to improve the accuracy and robustness of entity...
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Chapter and Conference Paper
Neural Architecture Search Based on Improved Brain Storm Optimization Algorithm
The performance of deep neural networks (DNNs) often depends on the design of their architectures. But designing a DNN with good performance is a difficult and knowledge-intensive process. In this paper, we pr...
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Chapter and Conference Paper
Modeling Portraits of Students and Exercises for Exercise Recommendation
Exercise recommendation aims at providing personalized recommendation to assist students with explicit learning directions, which has become an important and popular component of online learning platforms. How...
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Chapter and Conference Paper
One-Dimensional Feature Supervision Network for Object Detection
Self-attention mechanisms have been widely used in object detection tasks to distinguish the importance of different channels and reinforce important information in features, and also leads to the exciting res...
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Chapter and Conference Paper
Knowledge Graph Completion for Power Grid Main Equipment Using Pretrained Language Models
The safe and stable operation of power systems relies on the timely diagnosis of defects in power grid equipment. To achieve this, knowledge graph (KG) can be used to model power grid equipment defect knowledg...
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Chapter and Conference Paper
UCLD-Net: Decoupling Network via Unsupervised Contrastive Learning for Image Dehazing
From traditional algorithms based on handcrafted prior to learning algorithms based on neural networks, the image dehazing technique has gone through great development. The handcrafted prior-based methods need...
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Chapter and Conference Paper
A Modified Gaining-Sharing Knowledge Algorithm Based on Dual-Population and Multi-operators for Unconstrained Optimization
Evolutionary Algorithms (EAs) have a great power to solve complex optimization problems. In recent years, Gaining-Sharing Knowledge algorithm (GSK) is one of the novel nature-inspired algorithms to solve real ...
