Research on Multi-Sensor Fusion Indoor Fire Perception Algorithm Based on Improved TCN.

Indoor fires cause huge casualties and economic losses worldwide. Thus, it is critical to quickly and accurately perceive the fire. In this work, an indoor fire perception algorithm based on multi-sensor fusion was proposed.

Application of LSTM Network to Improve Indoor Positioning Accuracy.

Various indoor positioning methods have been developed to solve the "last mile on Earth". Ultra-wideband positioning technology stands out among all indoor positioning methods due to its unique communication mechanism and has a broad application prospect. Under non-line-of-sight (NLOS) conditions, the accuracy of this positioning method is greatly affected.