Deep CNN-BiLSTM model for transportation mode detection using smartphone accelerometer and magnetometer
Transportation mode detection from smartphone data is investigated as a relevant problem
in the multi-modal transportation systems context. Neural networks are chosen as a timely …
in the multi-modal transportation systems context. Neural networks are chosen as a timely …
Deep CNN-BiLSTM Model for Transportation Mode Detection Using Smartphone Accelerometer and Magnetometer
Q Tang, K Jahan, M Roth - 2022 - elib.dlr.de
Transportation mode detection from smartphone data is investigated as a relevant problem
in the multi-modal transportation systems context. Neural networks are chosen as a timely …
in the multi-modal transportation systems context. Neural networks are chosen as a timely …
Deep CNN-BiLSTM Model for Transportation Mode Detection Using Smartphone Accelerometer and Magnetometer
Q Tang, K Jahan, M Roth - 2022 IEEE Intelligent Vehicles Symposium (IV …, 2022 - dl.acm.org
Transportation mode detection from smartphone data is investigated as a relevant problem
in the multi-modal transportation systems context. Neural networks are chosen as a timely …
in the multi-modal transportation systems context. Neural networks are chosen as a timely …
[PDF][PDF] Deep CNN-BiLSTM Model for Transportation Mode Detection Using Smartphone Accelerometer and Magnetometer
Q Tang, K Jahan, M Roth - researchgate.net
Transportation mode detection from smartphone data is investigated as a relevant problem
in the multi-modal transportation systems context. Neural networks are chosen as a timely …
in the multi-modal transportation systems context. Neural networks are chosen as a timely …