Xiaoyao Zheng
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View article: Resource Scheduling Algorithm for Edge Computing Networks Based on Multi-Objective Optimization
Resource Scheduling Algorithm for Edge Computing Networks Based on Multi-Objective Optimization Open
Edge computing networks represent an emerging technological paradigm that enhances real-time responsiveness for mobile devices by reallocating computational resources from central servers to the network’s edge. This shift enables more effi…
View article: A Joint Surrogate-assisted Federated Evolutionary Feature Selection Algorithm
A Joint Surrogate-assisted Federated Evolutionary Feature Selection Algorithm Open
View article: A Joint Surrogate-Assisted Federated Evolutionary Feature Selection Algorithm
A Joint Surrogate-Assisted Federated Evolutionary Feature Selection Algorithm Open
View article: Channel Spatio-temporal Convolutional Network for Pedestrian Trajectory Prediction
Channel Spatio-temporal Convolutional Network for Pedestrian Trajectory Prediction Open
Accurate and timely prediction of the future path of agents in the vicinity of an agent is the core of avoiding conflict in automated applications. The traditional method based on the RNN model requires high computational cost in the predi…
View article: Personalized Route Recommendation with Hybrid Tabu Search Algorithm Based on Crowdsensing
Personalized Route Recommendation with Hybrid Tabu Search Algorithm Based on Crowdsensing Open
In the postmodern era of tourism, tourists’ behavior has undergone a substantial change and the demand of customized experience dominates the tourism market. The traditional single‐objective travel route recommendation method fails to meet…
View article: Improved path planning algorithm for mobile robots
Improved path planning algorithm for mobile robots Open
Path planning is an NP-hard problem in road network environments. Considering that the existing path planning algorithms mainly have the problems of low smoothness and low search efficiency in generating paths in large-scale complex enviro…
View article: Low-Frequency Trajectory Map Matching Method Based on Vehicle Heading Segmentation
Low-Frequency Trajectory Map Matching Method Based on Vehicle Heading Segmentation Open
Numerous Global Positioning System connected vehicles are collecting extensive data remotely in cities, enabling data-driven infrastructure planning. To truly benefit from this emerging technology, it is important to combine telematics and…
View article: A Novel Multi-Objective and Multi-Constraint Route Recommendation Method Based on Crowd Sensing
A Novel Multi-Objective and Multi-Constraint Route Recommendation Method Based on Crowd Sensing Open
Nowadays, people choose to travel in their leisure time more frequently, but fixed predetermined tour routes can barely meet people’s personalized preferences. The needs of tourists are diverse, largely personal, and possibly have multiple…
View article: A Novel Travel Group Recommendation Model Based on User Trust and Social Influence
A Novel Travel Group Recommendation Model Based on User Trust and Social Influence Open
The interactions between group members often have a significant impact on the results of group recommendations. The traditional group recommendation algorithm does not consider the trust and social influence among users. It involves a low …
View article: Urban Hotspot Area Detection Using Nearest-Neighborhood-Related Quality Clustering on Taxi Trajectory Data
Urban Hotspot Area Detection Using Nearest-Neighborhood-Related Quality Clustering on Taxi Trajectory Data Open
Urban hotspot area detection is an important issue that needs to be explored for urban planning and traffic management. It is of great significance to mine hotspots from taxi trajectory data, which reflect residents’ travel characteristics…
View article: A Service Recommendation Method Based on Requirements for the Cloud Environment
A Service Recommendation Method Based on Requirements for the Cloud Environment Open
In the cloud computing environment, there are huge amounts of functionally similar cloud services. Additionally, user requirements can change. Therefore, it is difficult to recommend services that meet users’ requirements. To overcome the …
View article: Research on Sentiment Classification of Online Travel Review Text
Research on Sentiment Classification of Online Travel Review Text Open
In recent years, the number of review texts on online travel review sites has increased dramatically, which has provided a novel source of data for travel research. Sentiment analysis is a process that can extract tourists’ sentiments rega…
View article: Geo-Tagged Photo Metadata Processing Method for Beijing Inbound Tourism Flow
Geo-Tagged Photo Metadata Processing Method for Beijing Inbound Tourism Flow Open
Technological advances have led to numerous developments in data sources. Geo-tagged photo metadata has provided a new source of mass research data for tourism studies. A series of data processing methods centering on the various types of …
View article: Road Congestion Detection Based on Trajectory Stay-Place Clustering
Road Congestion Detection Based on Trajectory Stay-Place Clustering Open
The results of road congestion detection can be used for the rational planning of travel routes and as guidance for traffic management. The trajectory data of moving objects can record their positions at each moment and reflect their movin…
View article: Differential Privacy-Preserving Density Peaks Clustering Based on Shared Near Neighbors Similarity
Differential Privacy-Preserving Density Peaks Clustering Based on Shared Near Neighbors Similarity Open
Density peaks clustering is a novel and efficient density-based clustering algorithm. However, the problem of the sensitive information leakage and the associated security risk with the applications of clustering methods is rarely consider…
View article: A New Mining and Protection Method Based on Sensitive Data
A New Mining and Protection Method Based on Sensitive Data Open
The traditional method of sensitive data identification for data stream has a large amount of calculation and does not reflect the impact of time on the data value, and the mining accuracy is not high. In view of the above problems we firs…
View article: An Efficient and Adaptive Method for Overlapping Community Detection in Real‐World Networks
An Efficient and Adaptive Method for Overlapping Community Detection in Real‐World Networks Open
In real-world networks, nodes may belong to more than one community simultaneously. Overlapping community detection in complex networks is a challenging task. An adaptive overlapping community detection method based on seed selection and e…
View article: Prior knowledge-based deep learning method for indoor object recognition and application
Prior knowledge-based deep learning method for indoor object recognition and application Open
Indoor object recognition is a key task for indoor navigation by mobile robots. Although previous work has produced impressive results in recognizing known and familiar objects, the research of indoor object recognition for robot is still …
View article: Energy-Efficient Data Collection Scheme for Environmental Quality Management in Buildings
Energy-Efficient Data Collection Scheme for Environmental Quality Management in Buildings Open
How to efficiently collect sensory data for supporting energy-efficient operation of buildings has become a great challenge, especially for large-scale networks in buildings. In this paper, a spatiotemporal compression-based optimized clus…