Deciphering Optimal Radar Ensemble for Advancing Sleep Posture Prediction through Multiview Convolutional Neural Network (MVCNN) Approach Using Spatial Radio Echo Map (SREM)
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Lai, D.K.-H.; Tam, A.Y.-C.; So, B.P.-H.; Chan, A.C.-H.; Zha, L.-W.; Wong, D.W.-C.; Cheung, J.C.-W. Deciphering Optimal Radar Ensemble for Advancing Sleep Posture Prediction through Multiview Convolutional Neural Network (MVCNN) Approach Using Spatial Radio Echo Map (SREM). Sensors 2024, 24, 5016. https://doi.org/10.3390/s24155016
Lai DK-H, Tam AY-C, So BP-H, Chan AC-H, Zha L-W, Wong DW-C, Cheung JC-W. Deciphering Optimal Radar Ensemble for Advancing Sleep Posture Prediction through Multiview Convolutional Neural Network (MVCNN) Approach Using Spatial Radio Echo Map (SREM). Sensors. 2024; 24(15):5016. https://doi.org/10.3390/s24155016
Chicago/Turabian StyleLai, Derek Ka-Hei, Andy Yiu-Chau Tam, Bryan Pak-Hei So, Andy Chi-Ho Chan, Li-Wen Zha, Duo Wai-Chi Wong, and James Chung-Wai Cheung. 2024. "Deciphering Optimal Radar Ensemble for Advancing Sleep Posture Prediction through Multiview Convolutional Neural Network (MVCNN) Approach Using Spatial Radio Echo Map (SREM)" Sensors 24, no. 15: 5016. https://doi.org/10.3390/s24155016