SDLSTM-ARIMA hybrid model claims higher accuracy than standalone ARIMA or AR for traffic flow by incorporating time singularity ratios in LSTM dropout for unequal-interval combinations.
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3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2019 3verdicts
UNVERDICTED 3representative citing papers
The paper describes an implementation scheme for a marine WSN monitoring system that routes data from LoRa-connected nodes through an MQTT broker to a web visualization platform.
Design of an Arduino-based MQTT wireless sensor network node intended for IoT uses such as smart homes and environmental monitoring.
citing papers explorer
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Traffic Flow Combination Forecasting Method Based on Improved LSTM and ARIMA
SDLSTM-ARIMA hybrid model claims higher accuracy than standalone ARIMA or AR for traffic flow by incorporating time singularity ratios in LSTM dropout for unequal-interval combinations.
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A Practical Marine Wireless Sensor Network Monitoring System Based on LoRa and MQTT
The paper describes an implementation scheme for a marine WSN monitoring system that routes data from LoRa-connected nodes through an MQTT broker to a web visualization platform.
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Design of a Simplified Wireless Sensor Network Node based on MQTT Protocol
Design of an Arduino-based MQTT wireless sensor network node intended for IoT uses such as smart homes and environmental monitoring.