Yuezhong Wu
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Author Swipe
View article: Bearing Fault Diagnosis Based on Multi-Channel WOA-VMD and Tucker Decomposition
Bearing Fault Diagnosis Based on Multi-Channel WOA-VMD and Tucker Decomposition Open
To address the challenges that rolling bearing vibration signals are easily affected by noise and that traditional single-channel methods cannot fully exploit multi-channel information, this paper proposes a multi-channel fault diagnosis m…
View article: Research on Trust-Enhanced Recommender Algorithm Based on Weighting Approach
Research on Trust-Enhanced Recommender Algorithm Based on Weighting Approach Open
Compared to traditional algorithms that rely exclusively on user–item correlations, recommendation algorithms based on social networks, which incorporate users’ social data, can provide a more balanced approach to improving the precision o…
View article: A Text Generation Method Based on a Multimodal Knowledge Graph for Fault Diagnosis of Consumer Electronics
A Text Generation Method Based on a Multimodal Knowledge Graph for Fault Diagnosis of Consumer Electronics Open
As consumer electronics evolve towards greater intelligence, their automation and complexity also increase, making it difficult for users to diagnose faults when they occur. To address the problem where users, relying solely on their own k…
View article: Advancing Mental Health Care: Intelligent Assessments and Automated Generation of Personalized Advice via M.I.N.I and RoBERTa
Advancing Mental Health Care: Intelligent Assessments and Automated Generation of Personalized Advice via M.I.N.I and RoBERTa Open
As mental health issues become increasingly prominent, we are now facing challenges such as the severe unequal distribution of medical resources and low diagnostic efficiency. This paper integrates finite state machines, retrieval algorith…
View article: Static Task Allocation Method for Multi-Machines in Cooperative Operations Combining OGFR-GA and MLW-Prim
Static Task Allocation Method for Multi-Machines in Cooperative Operations Combining OGFR-GA and MLW-Prim Open
Aiming at the operational efficiency of small farm machinery groups in cooperative operations in hilly areas, this study proposes a static task allocation model. This method combines the optimal gene fragment retention method based on a ge…
View article: Research on a Three-Stage Dynamic Reactive Power Optimization Decoupling Strategy for Active Distribution Networks with Carbon Emissions
Research on a Three-Stage Dynamic Reactive Power Optimization Decoupling Strategy for Active Distribution Networks with Carbon Emissions Open
The reactive power optimization of an active distribution network can effectively deal with the problem of voltage overflows at some nodes caused by the integration of a high proportion of distributed sources into the distribution network.…
View article: An Extensible Python Open-Source Simulation Platform for Developing and Benchmarking Bus Holding Strategies
An Extensible Python Open-Source Simulation Platform for Developing and Benchmarking Bus Holding Strategies Open
Inefficient and unreliable public transportation systems remain a significant challenge in growing cities, with bus bunching being a key contributor to passenger dissatisfaction. Despite numerous proposed holding strategies to mitigate thi…
View article: A Visual Fault Detection Algorithm of Substation Equipment Based on Improved YOLOv5
A Visual Fault Detection Algorithm of Substation Equipment Based on Improved YOLOv5 Open
The development of artificial intelligence technology provides a new model for substation inspection in the power industry, and effective defect diagnosis can avoid the impact of substation equipment defects on the power grid and improve t…
View article: A Novel Remaining Useful Life Prediction Method Based on CEEMDAN-IFTC-PSR and Ensemble CNN/BiLSTM Model for Cutting Tool
A Novel Remaining Useful Life Prediction Method Based on CEEMDAN-IFTC-PSR and Ensemble CNN/BiLSTM Model for Cutting Tool Open
To accurately predict the remaining useful life (RUL) of cutting tool, a novel RUL prediction method is proposed. Firstly, the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) is used to decompose original cutti…
View article: An Intelligent Garbage Sorting System Based on Edge Computing and Visual Understanding of Social Internet of Vehicles
An Intelligent Garbage Sorting System Based on Edge Computing and Visual Understanding of Social Internet of Vehicles Open
In order to enable Social Internet of Vehicles devices to achieve the purpose of intelligent and autonomous garbage classification in a public environment, while avoiding network congestion caused by a large amount of data accessing the cl…
View article: A Garbage Detection and Classification Method Based on Visual Scene Understanding in the Home Environment
A Garbage Detection and Classification Method Based on Visual Scene Understanding in the Home Environment Open
Garbage classification is a social issue related to people’s livelihood and sustainable development, so letting service robots autonomously perform intelligent garbage classification has important research significance. Aiming at the probl…
View article: Addressing Overfitting Problem in Deep Learning‐Based Solutions for Next Generation Data‐Driven Networks
Addressing Overfitting Problem in Deep Learning‐Based Solutions for Next Generation Data‐Driven Networks Open
Next‐generation networks are data‐driven by design but face uncertainty due to various changing user group patterns and the hybrid nature of infrastructures running these systems. Meanwhile, the amount of data gathered in the computer syst…
View article: A Face Occlusion Removal and Privacy Protection Method for IoT Devices Based on Generative Adversarial Networks
A Face Occlusion Removal and Privacy Protection Method for IoT Devices Based on Generative Adversarial Networks Open
The device group based on the Internet of Things (IoT) has been used in face recognition in real life, so it is more necessary to discuss the current data security issues and social hot issues. The Internet of Things device combines edge c…
View article: A Group Recommendation System of Network Document Resource Based on Knowledge Graph and LSTM in Edge Computing
A Group Recommendation System of Network Document Resource Based on Knowledge Graph and LSTM in Edge Computing Open
The Internet has become one of the important channels for users to obtain information and knowledge. It is crucial to work out how to acquire personalized requirement of users accurately and effectively from huge amount of network document…