298 Result(s)
within
**an Qi
Artificial Intelligence
Computer Applications
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Chapter and Conference Paper
Clinical Trial Histology Image Based End-to-End Biomarker Expression Levels Prediction and Visualization Using Constrained GANs
The gold standard for diagnosing cancer is through pathological examination. This typically involves the utilization of staining techniques such as hematoxylin-eosin (H &E) and immunohistochemistry (IHC) as re...
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Chapter and Conference Paper
Study on the Fundamentals of Electrical Engineering Based on Grey Correlation Analysis
The fundamentals of electrical engineering is a compulsory course set up by the school of electrical and automation of Wuhan University for undergraduate junior students. As an important platform course of ele...
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Chapter and Conference Paper
EEG Extended Source Imaging with Variation Sparsity and \(L_p\) -Norm Constraint
Accurately reconstructing the location and extent of cortical sources is crucial for cognitive research and clinical applications. Regularization methods that use the
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Chapter and Conference Paper
Hybrid Encoded Attention Networks for Accurate Pulmonary Artery-Vein Segmentation in Noncontrast CT Images
Pulmonary artery-vein segmentation in computed tomography image is essential to lung disease diagnosis. It is still a challenge to segment small distal vessels, crossover and adhesion of arterioles due to comp...
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Chapter and Conference Paper
Bloating Reduction in Symbolic Regression Through Function Frequency-Based Tree Substitution in Genetic Programming
Genetic programming (GP) is an evolutionary machine learning method that can be used to address a wide range of both classification and regression conundrums. However, traditional GP algorithms can lead to unn...
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Chapter and Conference Paper
DeepLRA: An Efficient Long Running Application Scheduling Framework with Deep Reinforcement Learning in the Cloud
With the growth of cloud computing, an increasing number of long-running applications (LRAs) are running in the cloud, providing scalability, cost-effectiveness, and flexibility. Considering LRA interactions and ...
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Chapter and Conference Paper
Quality Control Model of Value Extraction of Residual Silk Reuse Based on Improved Genetic Algorithm
The recovery and reuse of residual silk in the tobacco industry is a normal work, but the efficiency of this work has always been a weak link in quality control. In this paper, the author proposes to use genet...
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Chapter and Conference Paper
Analysis Model of Learning Chinese as a Foreign Language Based on Random Forest Algorithm
This article aims to propose an analysis model for learning Chinese as a foreign language based on the random forest algorithm. This model aims to analyze students’ learning situation and predict their learnin...
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Chapter and Conference Paper
Few-Shot Infrared Image Classification with Partial Concept Feature
Few infrared image samples will bring a catastrophic blow to the recognition performance of the model. Existing few-shot learning methods most utilize the global features of object to classify infrared image. ...
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Chapter and Conference Paper
On the Teaching Innovation Mode of “One Center, Two Closed Loops and Three Drives” from the Perspective of Curriculum Ideology and Politics
Through the analysis of the current situation of ideological and political teaching in professional courses, find the pain points in the current teaching mode, put forward the teaching innovation mode of “one ...
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Chapter and Conference Paper
Shared Nearest Neighbor Calibration for Few-Shot Classification
Few-shot classification aims to classify query samples using very few labeled examples. Most existing methods follow the Prototypical Network to classify query samples by matching them to the nearest centroid....
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Chapter and Conference Paper
TGPPN: A Transformer and Graph Neural Network Based Point Process Network Model
The Temporal Point Process (TPP) is applicable in various fields including healthcare, device failure prediction, and social media. It allows for the precise modeling of event occurrences and their associated ...
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Chapter and Conference Paper
Retrieval-Augmented Document-Level Event Extraction with Cross-Attention Fusion
Document-level event extraction intends to extract event records from an entire document. Current approaches adopt an entity-centric workflow, wherein the effectiveness of event extraction heavily relies on th...
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Chapter and Conference Paper
TASE-Net: A Short-Term Load Forecasting Model Based on Temperature Accumulation Sequence Effect
Electricity consumption forecasting plays an important role in ensuring efficient dispatch and reliability of the grid. The results are influenced by several factors at the same time. Inspired by the effect of...
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Chapter and Conference Paper
PBChat: Enhance Student’s Problem Behavior Diagnosis with Large Language Model
Student’s problem behaviors are undesirable behaviors encompass actions that deviate from established school standards, potentially impacting students’ overall well-being and academic success significantly. Di...
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Chapter and Conference Paper
An Intelligent Image Segmentation Annotation Method Based on Segment Anything Model
Training of supervised neural network models requires a large amount of high-quality datasets with true values. In computer vision tasks such as object detection and image segmentation, the process of annotati...
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Chapter and Conference Paper
Predicting Student Performance in Higher Education Based on Dynamic Graph Neural Networks with Consideration of Grading Habits
Accurately predicting student performance in higher education is crucial for educators and institutions to evaluate and improve teaching and learning outcomes. Traditional methods for predicting student perfor...
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Chapter and Conference Paper
CAWNet: A Channel Attention Watermarking Attack Network Based on CWABlock
In recent years, watermarking technology has been widely used as a common information hiding technique in the fields of copyright protection, authentication, and data privacy protection in digital media. Howev...
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Chapter and Conference Paper
Removal of EOG Artifact in Electroencephalography with EEMD-ICA: A Semi-simulation Study on Identification of Artifactual Components
Purpose: The electroencephalography (EEG) signals recorded in clinical settings are usually corrupted by electrooculography (EOG) artifacts. EEMD-ICA is a commonly used method for removing EOG artifacts. This stu...
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Chapter and Conference Paper
Dynamic Gesture Recognition Based on 3D Central Difference Separable Residual LSTM Coordinate Attention Networks
The recognition of dynamic gestures has garnered significant attention in the field of human-computer interaction. However, several factors unrelated to the gestures, such as background, and spatial scale, pos...
