Sensors, 1424-8220

Journal

  1. 2020
  2. Chaves, D., Fidalgo, E., Alegre, E., Alaiz-Rodriguez, R., Janez-Martino, F., & Azzopardi, G. (2020). Assessment and Estimation of Face Detection Performance Based on Deep Learning for Forensic Applications. Sensors, 20(16), 1-21. [4491]. https://doi.org/10.3390/s20164491
  3. 2019
  4. Kyriakou, K., Resch, B., Sagl, G., Petutschnig, A., Werner, C., Niederseer, D., Liedlgruber, M., Wilhelm, F., Osborne, T., & Pykett, J. (2019). Detecting Moments of Stress from Measurements of Wearable Physiological Sensors. Sensors, 19(17). https://doi.org/10.3390/s19173805
  5. 2018
  6. 2017
  7. 2016
  8. 2014
  9. Lindemann, U., Zijlstra, W., Aminian, K., Chastin, S. F. M., de Bruin, E. D., Helbostad, J. L., & Bussmann, J. B. J. (2014). Recommendations for Standardizing Validation Procedures Assessing Physical Activity of Older Persons by Monitoring Body Postures and Movements. Sensors, 14(1), 1267-1277. https://doi.org/10.3390/s140101267
  10. 2012
  11. 2010
  12. 2008
  13. Qin, S., van der Zeyden, M., Oldenziel, W. H., Cremers, T. I. F. H., & Westerink, B. H. C. (2008). Microsensors for in vivo Measurement of Glutamate in Brain Tissue. Sensors, 8(11), 6860-6884. https://doi.org/10.3390/s8116860

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