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Yu Yao and Quan Qian
We develop the online process parameter design (OPPD) framework for efficiently handling streaming data collected from industrial automation equipment. This framework integrates online machine learning, concept drift detection and Bayesian optimization t...
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Jing Pang, Xuwen Zhang, Xiaojun Lin, Jianghui Liu, Xinwu Du and Jiangang Han
In an analysis of the penetration resistance and tillage depth of post-tillage soil, four surface-layer discrimination methods, specifically, three machine learning algorithms?Kmeans, DBSCAN, and GMM?and a curve-fitting method, were used to analyze data ...
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Jiehui Liu, Hongchao Qiao, Lijie Yang and Jinxi Guo
During the operation of the belt conveyor, foreign objects such as large gangue and anchor rods may be mixed into the conveyor belt, resulting in tears and fractures, which affect transportation efficiency and production safety. In this paper, we propose...
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Hao-xuan Chen, Fei Tao, Pei-long Ma, Li-na Gao and Tong Zhou
Spatial analysis is an important means of mining floating car trajectory information, and clustering method and density analysis are common methods among them. The choice of the clustering method affects the accuracy and time efficiency of the analysis r...
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Nasim Ahmed, Andre L. C. Barczak, Mohammad A. Rashid and Teo Susnjak
Big data frameworks play a vital role in storing, processing, and analysing large datasets. Apache Spark has been established as one of the most popular big data engines for its efficiency and reliability. However, one of the significant problems of the ...
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Artem Barger and Dan Feldman
Let P be a set of n points in R??
R
d
, ??=1
k
=
1
be an integer and ???(0,1)
e
?
(
0
,
1
)
be a constant. An e-coreset is a subset ?????
C
?
P
with appropriate non-negative weights (scalars), that approximates any given set ???R??
Q
?
R
d
of k cente...
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Xiao Huang, Zhenlong Li, Junyu Lu, Sicheng Wang, Hanxue Wei and Baixu Chen
In this study, we investigate the potential driving factors that lead to the disparity in the time-series of home dwell time in a data-driven manner, aiming to provide fundamental knowledge that benefits policy-making for better mitigation strategies of ...
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Huan Niu, Nasim Khozouie, Hamid Parvin, Hamid Alinejad-Rokny, Amin Beheshti and Mohammad Reza Mahmoudi
Clustering ensemble indicates to an approach in which a number of (usually weak) base clusterings are performed and their consensus clustering is used as the final clustering. Knowing democratic decisions are better than dictatorial decisions, it seems c...
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Masfu Hisyam, Ali Ridho Barakbah, Iwan Syarif, Ferry Astika S
Pág. 83 - 104
Internet attacks are a frequent occurrence and the incidence is always increasing every year, therefore Matagaruda project is built to monitor and analyze internet attacks using IDS (Intrusion Detection System). Unfortunately, the Matagaruda project has ...
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Na Zhao, Changku Sun and Peng Wang
Orthogonally splitting imaging pose sensor is a new sensor with two orthogonal line array charge coupled devices (CCDs). Owing to its special structure, there are distortion correction and imaging model problems during the calibration procedure. This pap...
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