Prediction with uncertainty: A novel framework for analyzing sensor data streams

Ashfaqur Rahman; John McCulloch; Quazi Mamun

doi:10.1109/JSEN.2014.2344683

Prediction with uncertainty: A novel framework for analyzing sensor data streams

Ashfaqur Rahman, John McCulloch, Quazi Mamun

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

7 Downloads (Pure)

Original language	English
Pages (from-to)	382-386
Number of pages	5
Journal	IEEE Sensors Journal
Volume	15
Issue number	1
Early online date	Jul 2014
DOIs	https://doi.org/10.1109/JSEN.2014.2344683
Publication status	Published - Jan 2015

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10.1109/JSEN.2014.2344683

Cite this

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title = "Prediction with uncertainty: A novel framework for analyzing sensor data streams",

keywords = "Heteronychus arator, Lolium perenne, Neotyphodium lolii, Olfactometer, Volatile oils",

author = "Ashfaqur Rahman and John McCulloch and Quazi Mamun",

note = "Includes bibliographical references",

year = "2015",

month = jan,

doi = "10.1109/JSEN.2014.2344683",

language = "English",

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pages = "382--386",

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AU - Rahman, Ashfaqur

AU - McCulloch, John

AU - Mamun, Quazi

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PY - 2015/1

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KW - Heteronychus arator

KW - Lolium perenne

KW - Neotyphodium lolii

KW - Olfactometer

KW - Volatile oils

U2 - 10.1109/JSEN.2014.2344683

DO - 10.1109/JSEN.2014.2344683

M3 - Article

SN - 1530-437X

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SP - 382

EP - 386

JO - IEEE Sensors Journal

JF - IEEE Sensors Journal

IS - 1

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