A new CNN-LSTM architecture for activity recognition employing wearable motion sensor data: Enabling diverse feature extraction.

MLA

Koşar, Enes, and Billur Barshan. “A New CNN-LSTM Architecture for Activity Recognition Employing Wearable Motion Sensor Data: Enabling Diverse Feature Extraction.” Engineering Applications of Artificial Intelligence, vol. 124, Sept. 2023, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.engappai.2023.106529.

APA

Koşar, E., & Barshan, B. (2023). A new CNN-LSTM architecture for activity recognition employing wearable motion sensor data: Enabling diverse feature extraction. Engineering Applications of Artificial Intelligence, 124, N.PAG. https://doi.org/10.1016/j.engappai.2023.106529

Chicago

Koşar, Enes, and Billur Barshan. 2023. “A New CNN-LSTM Architecture for Activity Recognition Employing Wearable Motion Sensor Data: Enabling Diverse Feature Extraction.” Engineering Applications of Artificial Intelligence 124 (September): N.PAG. doi:10.1016/j.engappai.2023.106529.