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Deep-Gap: A Deep Learning Framework for Forecasting Crowdsourcing Supply-Demand Gap Based on Imaging Time Series and Residual Learning.

, and . CloudCom, page 279-286. IEEE, (2019)

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Gravitational weighted fuzzy c-means with application on multispectral image segmentation., , and . IPTA, page 92-96. IEEE, (2014)Deep-Gap: A Deep Learning Framework for Forecasting Crowdsourcing Supply-Demand Gap Based on Imaging Time Series and Residual Learning., and . CloudCom, page 279-286. IEEE, (2019)User Scheduling in Federated Learning over Energy Harvesting Wireless Networks., , , , and . GLOBECOM, page 1-6. IEEE, (2021)Multimodal Deep Learning Approach for Joint EEG-EMG Data Compression and Classification., , , , and . WCNC, page 1-6. IEEE, (2017)Federated Learning over Energy Harvesting Wireless Networks., , , , and . CoRR, (2021)Mobile Crowdsourced Sensors Selection for Journey Services., , , and . ICSOC, volume 11236 of Lecture Notes in Computer Science, page 463-477. Springer, (2018)Cluster validity index based on n-sphere., , and . AICCSA, page 144-147. IEEE Computer Society, (2014)A Deep Learning Approach for Vital Signs Compression and Energy Efficient Delivery in mhealth Systems., , , , , , , and . IEEE Access, (2018)Deep learning approach for EEG compression in mHealth system., , and . IWCMC, page 1508-1512. IEEE, (2017)LIME: Long-Term Forecasting Model for Desalination Membrane Fouling to Estimate the Remaining Useful Life of Membrane., , , , , and . IEA/AIE (2), volume 13926 of Lecture Notes in Computer Science, page 3-14. Springer, (2023)