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A Two-Stream Self-attention Multi-digraph Model for Chinese NER
As an important international language, Chinese has unique characteristics in many aspects, and Chinese Named Entity Recognition (CNER) is receiving...
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Two-stream temporal enhanced Fisher vector encoding for skeleton-based action recognition
The key to skeleton-based action recognition is how to extract discriminative features from skeleton data. Recently, graph convolutional networks...
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Comprehensive analysis on mercury stream of cold cathode fluorescent lamps (CCFLs) in Korea (Republic of)
Due to the activation of the Minamata Convention, policies and treatment facilities for the safe management of mercury and mercury compounds have...
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Data Pipeline of Efficient Stream Data Ingestion for Game Analytics
This paper explores approaches to optimize micro-services that manage game analytics in terms of stream analysis. Typically, the micro-services...
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Internal measurement of media sliding velocity in a stream finishing bowl
Recently, mass finishing processes have attracted renewed interests due to their feasibility on complex and rough additively manufactured components....
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Machine Learning-Based Classification Between Block Cipher and Stream Cipher
Rivest investigated the relationship between Machine Learning and cryptanalysis in 1991 by emphasizing how ideas from each field benefit the other....
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Regelung mit Data Stream Manager
Das Konzept „Data Stream Management“, könnte analog dem Begriff Mehrgrößenregelung auch „Mehrreglerregelung“ bezeichnet werden. Jedoch während...
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Challenges and New Opportunities in Diverse Approaches of Big Data Stream Analytics
The continuous generation of data develops new data analysis challenge called stream data analysis. However, most of the real-time applications...
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Air Lubrication on a Flat Plate in a Steady Water Stream
Air injection underneath the surface of objects immersed in water is known to effect drag reduction benefits (Ceccio in Annu Rev Fluid Mech...
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A Quality Value Stream Map** Study in a Knitwear Manufacturer
The ready-made clothing industry is one of the sectors that has a high share in export and has a direct impact on our country's economy. Today, the...
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A hierarchically sampling global sparse transformer in data stream mining for lightweight image restoration
With the rapid development of information technology, mining valuable information from multi-source data stream is essential for redundant data,...
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Computational study on effect of free-stream turbulence on bio-inspired corrugated airfoil at different sections at low Reynolds number
During flight, dragonfly wings can be thought of as an extreme light-weight airfoil. Many of the flight properties of tiny dragonfly wings are also...
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Flu-Net: two-stream deep heterogeneous network to detect flu like symptoms from videos using grey wolf optimization algorithm
The outbreak of COVID-19 (also known as Coronavirus) has put the entire world at risk. The disease first appears in Wuhan, China, and later spread to...
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Identifying Trends Using Improved Affinity Propagation (IMAP) Clustering Algorithm on Evolving Data Stream
The clustering of an evolving data stream is always very complex as data objects are not static in nature. Identifying the real-time clusters is a...
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Probabilistic Analysis on Aerostatic Displacement-dependent Wind Loads on a Stream-lined Box Girder
Due to the limitations of the bridge deck modeling and wind tunnel installations, the parametric uncertainties of aerostatic displacement-dependent...
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Comparative case study of finite mixture and T2-Hotelling control charts for multiple stream monitoring
The multiple stream process involves equipment with several modules producing the same items, but with respective random variables’ subpopulations....
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A Dirty Data Detection Method for Stream Data Cleaning of Online Machinery Condition Monitoring
Dirty data are commonly seen during online machinery condition monitoring and lead to the decrease of stream data quality. By analyzing these...
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On the impact of spatial heterogeneity and drift rate in a three-patch two-species Lotka–Volterra competition model over a stream
In this paper, we study a three-patch two-species Lotka–Volterra competition patch model over a stream network. The individuals are subject to both...
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Extraction of Association Rules from Data Stream Using Genetic Algorithm
In this work, we are interested in the extraction of association rules on the data stream. We propose three strategies to deal with this problem:...
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A dynamic hierarchical incremental learning-based supervised clustering for data stream with considering concept drift
Clustering analysis is an important data mining method for data stream. Data stream clustering is a branch of clustering in which the patterns are...
