• openAccess   An unsupervised TinyML approach applied to the detection of urban noise anomalies under the smart cities environment 

      Hammad, Sahibzada Saadoon; Iskandaryan, Ditsuhi; Trilles, Sergio Elsevier (2023-07-08)
      Artificial Intelligence of Things (AIoT) is an emerging area of interest, and this can be used to obtain knowledge and take better decisions in the same Internet of Things (IoT) devices. IoT data are prone to anomalies due ...
    • openAccess   Anomaly Detection in Activities of Daily Living with Linear Drift 

      Belmonte-Fernández, Óscar; Caballer Miedes, Antonio; Chinellato, Eris; Montoliu Colás, Raul; Sansano-Sansano, Emilio; García-Vidal, Rubén Springer (2020-07-01)
      Anomalyq detection in Activities of Daily Living (ADL) plays an important role in e-health applications. An abrupt change in the ADL performed by a subject might indicate that she/he needs some help. Another important issue ...