HIGHLIGHTS
- who: Lulu Gao and Shinu2019ichi Konomi from the Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan have published the article: Indoor Spatiotemporal Contact Analytics Using Landmark-Aided Pedestrian Dead Reckoning on Smartphones, in the Journal: Sensors 2023, 113 of /2023/
- what: The authors propose an indoor spatiotemporal contact awareness framework (iSTCA) which explicitly considers the self-containing quantitative contact analytics approach with spatiotemporal information to provide accurate awareness of the virus quanta concentration in different origins at various times. The authors demonstrate the effectiveness of the proposed Bi-LSTM-CNN classification . . .
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