Artificial Intelligence in China
Proceedings of the 4th International Conference on Artificial Intelligence in China
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14 Result(s)
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Wei WANG
Computer Science
English
Artificial Intelligence
Communications Engineering, Networks
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Chapter and Conference Paper
Observer-Based Fault Diagnosis for Re-entrant Manufacturing Systems
This paper investigates the fault detection and diagnosis problem of re-entrant manufacturing systems (RMSs) in the presence of workstation faults. In order to visualize the dynamical behaviors of RMSs under t...
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Chapter and Conference Paper
Optimal Deployment of Large-Scale Wireless Sensor Network Based on Topological Potential Adaptive Graph Clustering
This paper proposed an optimal deployment algorithm for large-scale wireless sensor networks based on graph topology. The algorithm mines the intrinsic property of sensor measurement data as node quality throu...
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Chapter and Conference Paper
Jetson Nano-Based Pedestrian Density Detection in Subway Stations
Computer Vision is one of the popular research in the field of Deep Learning. As a hotspot in the field of computer vision research in recent years, pedestrian detection has a wide application prospect and gre...
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Chapter and Conference Paper
Concept Drift Detection and Update Algorithm Based on Online Restricted Boltzmann Machine
In this paper, we address a concept drift detection and update algorithm based on the online restricted Boltzmann machine (O-RBM). We introduce an attention mechanism into RBM, and the parameters of each class...
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Book and Conference Proceedings
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Chapter and Conference Paper
Concept Drift Detection Based on Restricted Boltzmann Machine in Multi-class Classification System
With the development of information technology, more and more data are generated from social life. Concept drift detection in multi-class classification system has gradually become a research hotspot in the fi...
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Chapter and Conference Paper
A New Augmented Method for Processing Video Datasets Based on Deep Neural Network
Large datasets are required for deep learning to achieve good performance. However, there is a lack of sufficient training datasets in many research fields, which may become a shortcoming of computer vision ap...
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Chapter and Conference Paper
Graph-Based Anomaly Detection of Wireless Sensor Network
Anomaly detection in wireless sensor networks plays a vital role to ensure the accuracy and reliability of network data. In view of the complexity of sensor networks, the process of detecting anomalies using r...
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Chapter and Conference Paper
Keywords Clustering for the Interview Texts Based on Kmeans Algorithm
We generally use the extraction of keywords to study the factors affecting the growth of excellent teachers. However, an automatic research algorithm is needed to let us understand more clearly when there are ...
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Book and Conference Proceedings
Artificial Intelligence in China
Proceedings of the 3rd International Conference on Artificial Intelligence in China
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Chapter and Conference Paper
Feature Extraction and Selection in Hidden Layer of Deep Learning Based on Graph Compressive Sensing
Faced with massive high-dimensional, multi-modal, and redundant information data sets, there are many processing methods, one of which is deep learning. Although the deep learning model is effective, there is ...
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Chapter and Conference Paper
A New Node Optimization Algorithm of Wireless Sensor Network Based on Graph Signal
Graph is a great model that can efficiently deal with structural data and has excellent research value and application value in our life. Graph theory and signal processing have been perfectly combined to form...
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Book and Conference Proceedings
Artificial Intelligence in China
Proceedings of the 2nd International Conference on Artificial Intelligence in China
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Chapter and Conference Paper
Some Results on Fuzzy Weak Boolean Filters of Non-commutative Residuated Lattice
After we present some basic definitions and results on non-commutative residuated lattice and several kinds of filters of it, we extend the concept of fuzzy filter to non-commutative residuated lattice. We int...
