Developing machine learning tools for long-lead heavy precipitation prediction with multi-sensor data

Yahui Di; Wei Ding; Yang Mu; David L. Small; Shafiqul Islam; Ni Bin Chang

doi:10.1109/ICNSC.2015.7116011

Developing machine learning tools for long-lead heavy precipitation prediction with multi-sensor data

Yahui Di
, Wei Ding
, Yang Mu
, David L. Small
, Shafiqul Islam
, Ni Bin Chang

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	63-68
Number of pages	6
ISBN (Electronic)	9781479980697
DOIs	https://doi.org/10.1109/ICNSC.2015.7116011
State	Published - Jun 1 2015
Event	2015 12th IEEE International Conference on Networking, Sensing and Control, ICNSC 2015 - Taipei, Taiwan, Province of China Duration: Apr 9 2015 → Apr 11 2015

Publication series

Name	ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control

Conference

Conference	2015 12th IEEE International Conference on Networking, Sensing and Control, ICNSC 2015
Country/Territory	Taiwan, Province of China
City	Taipei
Period	4/9/15 → 4/11/15

ASJC Scopus Subject Areas

Computer Networks and Communications
Instrumentation
Control and Systems Engineering

Keywords

Fast Online Streaming Feature Selection
Heavy Precipitation Predicition
Machine Learning
Nearest Sample Choosing

Access to Document

10.1109/ICNSC.2015.7116011

Cite this

Di, Y., Ding, W., Mu, Y., Small, D. L., Islam, S., & Chang, N. B. (2015). Developing machine learning tools for long-lead heavy precipitation prediction with multi-sensor data. In ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control (pp. 63-68). Article 7116011 (ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICNSC.2015.7116011

Developing machine learning tools for long-lead heavy precipitation prediction with multi-sensor data. / Di, Yahui; Ding, Wei; Mu, Yang et al.
ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control. Institute of Electrical and Electronics Engineers Inc., 2015. p. 63-68 7116011 (ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Di, Y, Ding, W, Mu, Y, Small, DL, Islam, S & Chang, NB 2015, Developing machine learning tools for long-lead heavy precipitation prediction with multi-sensor data. in ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control., 7116011, ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control, Institute of Electrical and Electronics Engineers Inc., pp. 63-68, 2015 12th IEEE International Conference on Networking, Sensing and Control, ICNSC 2015, Taipei, Taiwan, Province of China, 4/9/15. https://doi.org/10.1109/ICNSC.2015.7116011

Di Y, Ding W, Mu Y, Small DL, Islam S, Chang NB. Developing machine learning tools for long-lead heavy precipitation prediction with multi-sensor data. In ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control. Institute of Electrical and Electronics Engineers Inc. 2015. p. 63-68. 7116011. (ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control). doi: 10.1109/ICNSC.2015.7116011

Di, Yahui ; Ding, Wei ; Mu, Yang et al. / Developing machine learning tools for long-lead heavy precipitation prediction with multi-sensor data. ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 63-68 (ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control).

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title = "Developing machine learning tools for long-lead heavy precipitation prediction with multi-sensor data",

keywords = "Fast Online Streaming Feature Selection, Heavy Precipitation Predicition, Machine Learning, Nearest Sample Choosing",

author = "Yahui Di and Wei Ding and Yang Mu and Small, \{David L.\} and Shafiqul Islam and Chang, \{Ni Bin\}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 12th IEEE International Conference on Networking, Sensing and Control, ICNSC 2015 ; Conference date: 09-04-2015 Through 11-04-2015",

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ER -

Developing machine learning tools for long-lead heavy precipitation prediction with multi-sensor data

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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