IoT-Based Harmful Toxic Gases Monitoring and Fault Detection on the Sensor Dataset Using Deep Learning Techniques

<div>Hardware components of automated IOT-based smart harmful toxic gases and environment monitoring system. 1. LCD display, 2. SIM, 3. DC active buzzer, 4. MiniPID 2 HS PID sensor, 5. AQ3 sensor, 6. Arduino board, 7. ESP8266 WIFI module, 8. Cloud server, 9. IR5500 open path infrared gas detector, 10. MQ3 sensor, and 11. Temperature and humidity sensor.</div>

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Figure 1: IoT-Based Harmful Toxic Gases Monitoring and Fault Detection on the Sensor Dataset Using Deep Learning Techniques 