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FRS4CPP: A Fair Recommendation Strategy Considering Interests of Users, Providers and Platform
Currently, the research on the fairness of recommender systems has expanded beyond considering only the interests of users and product providers....
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Deep Q-Learning Based Circuit Breaking Method for Micro-services in Cloud Native Systems
More and more modern applications are being deployed on cloud-native systems. High concurrent requests that exceed the processing capacity lead to...
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Visitors Vis: Interactive Mining of Suspected Medical Insurance Fraud Groups
As medical insurance continues to grow in size, the losses caused by medical insurance fraud cannot be underestimated. Current data mining and...
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Towards Distributed Graph Representation Learning
Distributed graph representation learning refers to the process of learning graph data representation in a distributed computing environment. In the...
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Improving Voice Style Conversion via Self-attention VAE with Feature Disentanglement
Voice conversion (VC) is a widely used technique in intelligent speech processing, that aims to modify the speaker’s information while preserving the...
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Mobile Edge Computing Offloading Strategy Based on Deep Reinforcement Learning
Edge computing is a very good choice to solve the shortage of computing power of mobile devices (MD), the bandwidth resources and computing power of...
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Group Role Assignment with Trust Between Agents
As a vital methodology for collaboration problems, Role-Based Collaboration (RBC) consists of three essential stages: agent evaluation, Group Role...
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Compactness and Separateness Driven Fuzzy Clustering Validity Index Called TLW
The design of validity index of fuzzy clustering has always been a historical problem in fuzzy clustering field. When the distribution of cluster...
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Collaborative Computer Vision and Cloud Platform for Gastrointestinal Polyp Detection
Gastric cancer is a common malignant tumor in the world. Regular endoscopic examination and timely removal of precancerous polyps in early patients...
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Enhancement of Cat Breeds Classification Model Based on Meta Loss Correction
In the area of image recognition, the quality of image label data has a significant impact on the performance of classification models. Therefore,...
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Explicit Coordination Based Multi-agent Reinforcement Learning for Intelligent Traffic Signal Control
Traffic signal control plays an important role in reducing urban traffic congestion. In complex traffic scenarios, coordinating phase signal control...
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An Empirical Study on the Urgent Self-admitted Technical Debt
Technical Debt (TD) refers to the phenomenon of taking shortcuts to achieve short-term gains at the cost of higher maintenance effort in the future....
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A Traffic Flow Prediction Based Task Offloading Method in Vehicular Edge Computing
Vehicular Edge Computing (VEC) emerges as a promising paradigm by deploying computation and storage resources on edge servers located in close...
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Vehicle Edge Computing Network Service Migration Strategy Based on Multi-agent Reinforcement Learning
In order to address the decision-making problem in vehicular edge computing networks, this paper presented a vehicle edge computing service migration...
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A Multi-stage Network with Self-attention for Tooth Instance Segmentation
Automatic and accurate instance segmentation of teeth from 3D Cone-Beam Computer Tomography (CBCT) images is crucial for dental diagnose. Although...
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Enhance the Transferability from an Overfitting Perspective
Deep neural networks perform best on a variety of collaborative computing tasks, but they are very susceptible to adversarial perturbations....
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CoME: Collaborative Model Ensemble for Fast and Accurate Predictions
Ensemble learning, which combines multiple weak classifiers to form a strong classifier, has been shown to improve model accuracy and generalization....
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An Intelligent Teaching Evaluation System Integrating Emotional Computing and Cloud Platform
The teaching evaluation of classroom teaching is an indispensable and important link, which provides teaching feedback information for teachers. In...
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Fault Tolerance Aware Virtual Machine Scheduling Algorithm in Cloud Data Center Environment
Virtual machine (VM) scheduling is a complex problem in cloud environments, especially when reliability is considered. However, most of existing...
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A Lightweight Dual Branch Fusion Network for Single Image Deraining
Transformers have shown promise in high-level vision tasks, but their direct application to low-level vision can lead to artifacts and high...