An Efficient Deep Learning Algorithm for Fire and Smoke Detection with Limited Data
Detecting smoke and fire from visual scenes is a demanding task, due to the high variance of the color and texture. A number of smoke and fire image classification approaches have been proposed to overcome this problem; however, most of them rely on either rule-based methods or on handcrafted featur...
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| Vydané v: | Advances in Electrical and Computer Engineering Ročník 18; číslo 4; s. 121 - 128 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Suceava
Stefan cel Mare University of Suceava
01.11.2018
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| Predmet: | |
| ISSN: | 1582-7445, 1844-7600 |
| On-line prístup: | Získať plný text |
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