A5011199938- Manufacturing Process and Optimization
- Additive Manufacturing and 3D Printing Technologies
- 3D Shape Modeling and Analysis
- Advanced Clustering Algorithms Research
- Computer Graphics and Visualization Techniques
- Human Motion and Animation
- Remote Sensing and Land Use
- Methane Hydrates and Related Phenomena
- Evaluation Methods in Various Fields
- Regional Economic and Spatial Analysis
- Additive Manufacturing Materials and Processes
- Coastal wetland ecosystem dynamics
- Advanced Computational Techniques and Applications
- Local Government Finance and Decentralization
- Influenza Virus Research Studies
- Advanced Computing and Algorithms
- Complex Network Analysis Techniques
- Oral microbiology and periodontitis research
- Model Reduction and Neural Networks
- Energy Load and Power Forecasting
- Advanced Measurement and Metrology Techniques
- Stock Market Forecasting Methods
- Dental Health and Care Utilization
- Environmental Changes in China
- China's Socioeconomic Reforms and Governance
University at Buffalo, State University of New York
2024-2025
Zhongnan Hospital of Wuhan University
2025
Wuhan University
2025
Binghamton University
2021-2024
Xi'an Jiaotong University
2022
Wuhan University of Technology
2009-2022
Hunan University of Science and Technology
2021
University of Arkansas at Fayetteville
2020
Wuhan University of Science and Technology
2018
Shanghai University of Electric Power
2018
Periodontitis and peri-implantitis are common biofilm-mediated infectious diseases affecting teeth dental implants have been considered to be initiated with microbial dysbiosis. To further understand the essence of oral microbiome dysbiosis in terms bacterial interactions, community structure, stability, we analyzed 64 plaque samples from 34 participants or under different health conditions using metagenomic sequencing. After taxonomical annotation, computed inter-species correlations,...
Efficient production planning is a critical and challenging task in Make-To-Order (MTO) Automated Manufacturing Systems (AMSs), requiring flexible process capable of managing large volumes highly-customized orders while preventing resource contention. Considering the timing customers’ needs availability resources, it becomes important to find an efficient order-dispatching sequence optimize coordination across multiple units. To achieve this, simulation model essential evaluate validate...
Based on the stress-induced rolling membrane technique, complex three-dimensional structures are designed, such as tubes with wrinkled walls, tubes-in-a-tube, and spiral structures. Narrow PDMS strips used instead of whole top layer, thus obtaining made bottom polymer. As a service to our authors readers, this journal provides supporting information supplied by authors. Such materials peer reviewed may be re-organized for online delivery, but not copy-edited or typeset. Technical support...
Additive manufacturing (AM) is a new technology for fabricating products straight from 3D digital model, which can lower costs, minimize waste, and increase building speed while maintaining acceptable quality. However, it still suffers low dimensional accuracy lack of geometrical quality standards. Moreover, there need robust AM configuration to perform in-situ inspections during the fabrication. This work established printing-scanning setup collect point cloud data printed parts then...
Time series forecasting has been playing an important role in decision making, control, and monitoring across various fields. Specifically, the of nonstationarity time remains a challenging problem where traditional modeling may not fully capture temporal dynamics. Recent studies applying machine learning (ML) or more advanced hybrid models combining ML decomposition methods have shown their flexible nonstationary nonlinear capability. However, end-effect introduced by still introduces...
Metal additive manufacturing (AM) has attracted significant attention in various industry sectors for large-scale fabrication. However, the limited fabrication efficiency hindered its practical implementation. In comparison to traditional methods of tuning process parameters, concurrent AM equipped with multiple independently driven lasers is a more promising technique recently developed efficient large metal parts. To maximize while ensuring quality multi-laser processes, an optimization...
Abstract. Methane production is influenced by the abundance of methanogens and availability terminal substrates. Sulfate-reducing bacteria (SRB) also play an important role in anaerobic decomposition organic matter. However, relationships between methane methanogen populations, pore water substrates estuarine brackish marshes are poorly characterized, even to our knowledge, no published research has explored relationship rate SRB dimethyl sulfide (DMS) concentration. We investigated rate,...
The manual selection of threshold dc and cluster centers are the big limitations clustering by fast search find density peaks algorithm (DPC). In this paper, data field theory was introduced to adaptively select dc. regarded as segmentation dataset that contains positive negative samples. information entropy calculated measure purity after each segmentation. Segmentation with maximum reduction divided all into sample set, thus avoiding errors cause operating Decision Graph manually....
Load curve clustering is a basic task for big data mining in electricity consumption. This paper proposed algorithm to improve the correct and accurate of load data. Firstly, we introduced FastDTW as similarity metric measure distance between two time series. Secondly, used Affinity Propagation (AP) cluster. At last, novel FastDTW-AP clustering. As measures clustering, consider Euclidean distance, Dynamic Time Warping (DTW), Fast (FastDTW), compare efficiency three using labelled dataset...