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CrossRef Text and Data Mining |
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A Study on the Real-time Fire Classification Algorithm Based on Stacked LSTM |
Yoseob Heo, Seongho Seo, We Shim, Jongseok Kang |
J. Korean Soc. Hazard Mitig.. 2021;21(3):93-104. Published online June 25, 2021 DOI: https://doi.org/10.9798/KOSHAM.2021.21.3.93 |
A Study on the Real-time Fire Classification Algorithm Based on Stacked LSTM Deep Learning Based Models: Basic LSTM, Bi LSTM, Stacked LSTM, CNN LSTM and Conv LSTM to Forecast Agricultural Commodities Prices EEG-based Happy and Sad Emotions Classification using LSTM and Bidirectional LSTM Driving Behavior Classification Based on Oversampled Signals of Smartphone Embedded Sensors Using an Optimized Stacked-LSTM Neural Networks A Tree Matching Algorithm and VLSI Architecture for Real-Time 2D Object Classification Real-Time Fire Detection Algorithm Based on Support Vector Machine with Dynamic Time Warping Kernel Function Extracting Time-Frequency Features of Images for Robust LSTM-based Classification of H&E Stained Tissue Extracting Time-Frequency Features of Images for Robust LSTM-based Classification of H&E Stained Tissue Stacked LSTM Based Wafer Classification Stacked Ensemble Classification Based Real-Time Driver Drowsiness Detection |