Browsing by Subject "Feature extraction"

Now showing items 1-9 of 9

    • Chilean wine varietal classification using quadratic Fisher transformation 
      Duarte Mermoud, Manuel; Beltrán Maturana, Nicolás; Bustos, Matías A. (Springer, 2010)
      This paper deals with the Chilean red wine varietal classification problem. The problem is solved here by using one of the simplest statistical classification methods based on quadratic discriminant analysis (QDA) together ...
    • Computational intelligence in remote sensing: an editorial 
      Grana, Manuel; Wozniak, Michal; Ríos Pérez, Sebastián; de Lope, Javier (MDPI, 2020)
      Computational intelligence is a very active and fruitful research of artificial intelligence with a broad spectrum of applications. Remote sensing data has been a salient field of application of computational intelligence ...
    • Convolution based feature extraction for edge computing access authentication 
      Xie, Feiyi; Wen, Hong; Wu, Jinsong; Chen, Songlin; Hou, Wenjing; Jiang, Yixin (IEEE Computer Soc, 2020)
      In this article, a convolutional neural network (CNN) enhanced radio frequency fingerprinting (RFF) authentication scheme is presented for Internet of things (IoT). RFF is a non-cryptographic authentication technology, ...
    • Dynamic precision control in single-grit scratch tests using acoustic emission signals 
      Griffin, James Marcus; Torres, Fernando (Springer, 2015)
      Acoustic emission (AE) is very sensitive to minuscule molecular changes which allow it to be used in a dynamic control manner. The work presented here specifically investigates approaching grit and workpiece interaction ...
    • Feature detection with a constant FAR in sparse 3-D point cloud data 
      Lühr, Daniel; Adams, Martin; Houshiar, Hamidreza; Borrmann, Dorit; Nuechter, Andreas (IEEE, 2020)
      The detection of markers or reflectors within point cloud data (PCD) is often used for 3-D scan registration, mapping, and 3-D environmental modeling. However, the reliable detection of such artifacts is diminished when ...
    • Interactive learning of temporal features for control. Shaping Policies and state representations from human ... 
      Pérez Dattari, Rodrigo; Celemin, Carlos; Franzese, Giovanni; Solar San Martín, Javier del; Kober, Jens (IEEE-Institute of Electrical and Electronics Engineers, 2020)
      Current ongoing industry revolution demands more flexible products, including robots in household environments and medium-scale factories. Such robots should be able to adapt to new conditions and environments and be ...
    • Iris recognition using low-level CNN layers without training and single matching 
      Zambrano Ibujes, Jorge Eduardo; Benalcazar Villavicencio, Daniel Patricio; Pérez Flores, Claudio Andrés; Bowyer, Kevin W. (IEEE, 2022)
      Iris is one of the most accurate biometrics. This has led to the successful development of large-scale applications. However, with population growth, and new international applications, datasets are constantly increasing ...
    • Multiple classification of the force and acceleration signals extracted during multiple machine processes: ... 
      Griffin, James M.; Doberti, Alejandro J.; Hernández, Valbort; Miranda, Nicolás A.; Vélez, Maximiliano A. (2017)
      Part 2 of this work looks at the simulation for the accurate control of multiple machine processes made on a machining centre. Specifically the models are based on controlling against two grinding anomalies; grinding burn ...
    • On-line estimation of the aerobic phase length for partial nitrification processes in SBR based on features ... 
      Jaramillo, Francisco; Orchard Concha, Marcos; Muñoz, Carlos; Antileo, Christian; Sáez, Doris; Espinoza, Pablo (Elsevier B.V., 2018)
      We present a strategy for the on-line estimation of the aerobic reaction phase length for a partial nitrification process with pH and dissolved oxygen closed-loop control. To overcome existing drawbacks associated to partial ...