{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T21:42:14Z","timestamp":1780522934818,"version":"3.54.1"},"reference-count":19,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2023,1,28]],"date-time":"2023-01-28T00:00:00Z","timestamp":1674864000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The Special Issue \u201cSignal Processing and Machine Learning for Smart Sensing Applications\u201d focused on the publication of advanced signal processing methods by means of state-of-the-art machine learning technologies for smart sensing applications [...]<\/jats:p>","DOI":"10.3390\/s23031445","type":"journal-article","created":{"date-parts":[[2023,1,30]],"date-time":"2023-01-30T02:01:18Z","timestamp":1675044078000},"page":"1445","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Signal Processing and Machine Learning for Smart Sensing Applications"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3013-0290","authenticated-orcid":false,"given":"Ying-Ren","family":"Chien","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, National Ilan University, Yilan 26047, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3533-2227","authenticated-orcid":false,"given":"Mu","family":"Zhou","sequence":"additional","affiliation":[{"name":"Chongqing Key Lab of Mobile Communications Technology, School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3348-4358","authenticated-orcid":false,"given":"Ao","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Informatics, Xiamen University, Xiamen 361005, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4033-3558","authenticated-orcid":false,"given":"Ni","family":"Zhu","sequence":"additional","affiliation":[{"name":"AME-GEOLOC, University Gustave Eiffel, F-44344 Bouguenais, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4338-4334","authenticated-orcid":false,"given":"Joaqu\u00edn","family":"Torres-Sospedra","sequence":"additional","affiliation":[{"name":"ALGORITMI Research Centre, Universidade do Minho, 4800-058 Guimar\u00e3es, Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Zhou, Y., Chen, Y., Ma, Y., and Liu, H. (2020). A Real-Time Dual-Microphone Speech Enhancement Algorithm Assisted by Bone Conduction Sensor. Sensors, 20.","DOI":"10.3390\/s20185050"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Qin, A., Xian, L., Yang, Y., Zhang, T., and Tang, Y.Y. (2020). Low-Rank Matrix Recovery from Noise via an MDL Framework-Based Atomic Norm. Sensors, 20.","DOI":"10.3390\/s20216111"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Lan, X., Wan, T., Jiang, K., Xiong, Y., and Tang, B. (2021). Intelligent Recognition of Chirp Radar Deceptive Jamming Based on Multi-Pulse Information Fusion. Sensors, 21.","DOI":"10.3390\/s21082693"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Zhao, M., Beurier, G., Wang, H., and Wang, X. (2021). Exploration of Driver Posture Monitoring Using Pressure Sensors with Lower Resolution. Sensors, 21.","DOI":"10.3390\/s21103346"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1080\/15389588.2021.1892087","article-title":"Driver posture monitoring in highly automated vehicles using pressure measurement","volume":"22","author":"Zhao","year":"2021","journal-title":"Traffic Inj. Prev."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Chien, Y.R., Wu, C.H., and Tsao, H.W. (2021). Automatic Sleep-Arousal Detection with Single-Lead EEG Using Stacking Ensemble Learning. Sensors, 21.","DOI":"10.3390\/s21186049"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Ghassemi, M.M., Moody, B.E., Lehman, L.W.H., Song, C., Li, Q., Sun, H., Mark, R.G., Westover, M.B., and Clifford, G.D. (2018, January 23\u201326). You snooze, you win: The physionet\/computing in cardiology challenge 2018. Proceedings of the 2018 Computing in Cardiology Conference (CinC), Maastricht, The Netherlands.","DOI":"10.22489\/CinC.2018.049"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Kaneko, I., Yoshida, Y., Yuda, E., and Hayano, J. (2021). Sensing of Microvascular Vasomotion Using Consumer Camera. Sensors, 21.","DOI":"10.3390\/s21186256"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Liu, H., Zhang, H., He, Y., and Sun, Y. (2022). Jamming Strategy Optimization through Dual Q-Learning Model against Adaptive Radar. Sensors, 22.","DOI":"10.3390\/s22010145"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Sasaki, A.i. (2022). Effectiveness of Artificial Neural Networks for Solving Inverse Problems in Magnetic Field-Based Localization. Sensors, 22.","DOI":"10.3390\/s22062240"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Tian, Y., Huang, Y., Zhang, X., and Tang, X. (2022). Gridless Underdetermined Direction of Arrival Estimation in Sparse Circular Array Using Inverse Beamspace Transformation. Sensors, 22.","DOI":"10.3390\/s22082864"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Ba\u010dnar, D., Saulig, N., Petrijev\u010danin Vuksanovi\u0107, I., and Lerga, J. (2022). Entropy-Based Concentration and Instantaneous Frequency of TFDs from Cohen\u015b, Affine, and Reassigned Classes. Sensors, 22.","DOI":"10.3390\/s22103727"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Mei, R., Tian, Y., Huang, Y., and Wang, Z. (2022). 2D-DOA Estimation in Switching UCA Using Deep Learning-Based Covariance Matrix Completion. Sensors, 22.","DOI":"10.3390\/s22103754"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Lin, M., Zhang, X., Tian, Y., and Huang, Y. (2022). Multi-Signal Detection Framework: A Deep Learning Based Carrier Frequency and Bandwidth Estimation. Sensors, 22.","DOI":"10.3390\/s22103909"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Mao, W.L., Chiu, Y.Y., Lin, B.H., Wang, C.C., Wu, Y.T., You, C.Y., and Chien, Y.R. (2022). Integration of Deep Learning Network and Robot Arm System for Rim Defect Inspection Application. Sensors, 22.","DOI":"10.3390\/s22103927"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Hsu, W.W., Guo, J.M., Chen, C.Y., and Chang, Y.C. (2022). Fall Detection with the Spatial-Temporal Correlation Encoded by a Sequence-to-Sequence Denoised GAN. Sensors, 22.","DOI":"10.3390\/s22114194"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Tuan, C.C., Wu, Y.C., Yeh, W.L., Wang, C.C., Lu, C.H., Wang, S.W., Yang, J., Lee, T.F., and Kao, H.K. (2022). Development of Joint Activity Angle Measurement and Cloud Data Storage System. Sensors, 22.","DOI":"10.3390\/s22134684"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Xiao, S., Li, B., and Wang, Q. (2022). Adaptive Null Widening Beamforming Algorithm in Spatially Correlated Color Noise. Sensors, 22.","DOI":"10.3390\/s22166182"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Wang, W., Zhu, L., Huang, Z., Li, B., Yu, L., and Cheng, K. (2022). MT-GCNN: Multi-Task Learning with Gated Convolution for Multiple Transmitters Localization in Urban Scenarios. Sensors, 22.","DOI":"10.3390\/s22228674"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/3\/1445\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T18:17:55Z","timestamp":1760120275000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/3\/1445"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,28]]},"references-count":19,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2023,2]]}},"alternative-id":["s23031445"],"URL":"https:\/\/doi.org\/10.3390\/s23031445","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1,28]]}}}