A5107299529- Topic Modeling
- Natural Language Processing Techniques
- Mobile Ad Hoc Networks
- Cooperative Communication and Network Coding
- Wireless Networks and Protocols
- Biomedical Text Mining and Ontologies
- Network Security and Intrusion Detection
- Full-Duplex Wireless Communications
- Semantic Web and Ontologies
- Geochemistry and Geologic Mapping
- Privacy-Preserving Technologies in Data
- Machine Learning in Materials Science
- Intellectual Property and Patents
- Anomaly Detection Techniques and Applications
- Web Data Mining and Analysis
- Soil Geostatistics and Mapping
- Data Management and Algorithms
- Text Readability and Simplification
- Data Quality and Management
- Advanced Decision-Making Techniques
- Recommender Systems and Techniques
- Spectroscopy and Chemometric Analyses
UC San Diego Health System
2023
China Metallurgical Geology Bureau
2021
Guangxi Normal University
2012
University of South Carolina
2006-2011
Network coding is known to improve network throughput by mixing information from different flows and conveying more in each transmission. Recently there have been some proposals for applying wireless mesh networks leveraging the broadcast nature of transmissions. These approaches exploit opportunities passively while forwarding packets but they do not proactively change routing create opportunities. In this paper, we attempt investigate extent performance gain possible when decisions are...
It is crucial to automatically construct knowledge graphs (KGs) of diverse new relations support discovery and broad applications. Previous KG construction methods, based on either crowdsourcing or text mining, are often limited a small predefined set due manual cost restrictions in corpus. Recent research proposed use pretrained language models (LMs) as implicit bases that accept queries with prompts. Yet, the lacks many desirable properties full-scale symbolic KG, such easy access,...
Recently, federated learning (FL) has become a promising distributed technology by collaboratively training shared models on clients. However, due to the statistical heterogeneity of clients and differences in computing communication resources, convergence speed accuracy FL may decrease. The energy consumption latency performance also be affected. To achieve flexible balance between FL's model performance, overall consumption, latency, thereby meeting customized requirements, we propose deep...
According to historical information, more than 300 metal smelting enterprises have been in the southwest of Xiongan for years; however, these polluting gradually closed with increased intensity environmental protection. In paper, 264 soil samples were collected and analyzed range 400 nm–2500 nm by spectra vista corporation (SVC), spectral noise was smoothed Savitzky–Golay filter. order enhance differences curve shapes, mathematical transformations, such as standard normal variate (SNV),...
Network coding is known to improve throughput by mixing information from different flows and conveying more in each transmission. Recently some proposals have demonstrated the benefits of applying network wireless networks with broadcast transmissions. It expected that opportunities for corresponding gains depend on bit-rate chosen determining routes transmitting packets. However, previous work assumed a fixed rate did not explicitly account interaction between selection gain. In this paper,...
Biomedical Named Entity Recognition (BioNER) aims to identify biomedical domain-specific entities (e.g. gene, chemical and disease) from unstructured texts. Despite deep learning-based methods for BioNER achieving satisfactory results, there is still much room improvement. Firstly, most existing use independent sentences as training units ignore inter-sentence context, which usually leads the labeling inconsistency problem. Secondly, previous document-level works have approved that...
The automatic classification is a process of automatically assigning text documents to predefined categories. An accurate patent classifier crucial inventors and examiners in terms intellectual property protection, management, information retrieval. We present BERT-CNN, hierarchical based on pre-trained language model by training the national application collected from State Information Center, China. experimental results show that BERT-CNN achieves 84.3% accuracy, which far better than two...
poster Wireless network coding and concurrent MAC: are these approaches complementary? Share on Authors: Bin Ni University of South Carolina CarolinaView Profile , Naveen Santhapuri Duke UniversityView Srihari Nelakuditi Authors Info & Claims ACM SIGMOBILE Mobile Computing Communications ReviewVolume 14Issue 1January 2010 pp 19–21https://doi.org/10.1145/1837188.1837196Online:22 July 2010Publication History 0citation118DownloadsMetricsTotal Citations0Total Downloads118Last 12 Months1Last 6...
This article focuses on the study of Word Embedding, a feature-learning technique in Natural Language Processing that maps words or phrases to low-dimensional vectors. Beginning with linguistic theories concerning contextual similarities - "Distributional Hypothesis" and "Context Situation", this introduces two ways numerical representation text: One-hot Distributed Representation. In addition, presents statistical-based Models(such as Co-occurrence Matrix Singular Value Decomposition) well...