Gabriel, M., & Auer, T. (2023, June). LSTM Deep Learning Models for Virtual Sensing of Indoor Air Pollutants: A Feasible Alternative to Physical Sensors. Buildings.
Chicago Style (17th ed.) CitationGabriel, Martin, and Thomas Auer. "LSTM Deep Learning Models for Virtual Sensing of Indoor Air Pollutants: A Feasible Alternative to Physical Sensors." Buildings Jun. 2023.
MLA (9th ed.) CitationGabriel, Martin, and Thomas Auer. "LSTM Deep Learning Models for Virtual Sensing of Indoor Air Pollutants: A Feasible Alternative to Physical Sensors." Buildings, Jun. 2023.
Warning: These citations may not always be 100% accurate.