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• Application of artificial neural networks to the recognition of musical sounds

  B. KOSTEK, R. KRÓLIKOWSKI

  2014-01-01

  27-50
• Application of EMD, ANN and DNN for Self-Aligning Bearing Fault Diagnosis

  Narendiranath Babu THAMBA, Arun ARAVIND, Abhishek RAKESH, Mohamed JAHZAN, Rama Prabha D.

  2018-01-24

  163–175
• Active noise control algorithm based on a neural network and nonlinear input-output system identification model

  Tomasz KRUKOWICZ

  191-202
• Automatic Fault Classification for Journal Bearings Using ANN and DNN

  Narendiranath Babu THAMBA, Arun ARAVIND, Abhishek RAKESH, Mohamed JAHZAN, Rama Prabha DURAISWAMY, Ramalinga Viswanathan MANGALARAJA

  2018-10-19

  727–738
• Combined Evaluation of Room Acoustic Descriptors in Different Structural Configurations via ODEON Simulations and Artificial Neural Networks

  Eriberto Oliveira DO NASCIMENTO, Paulo Henrique Trombetta ZANNIN

  2024-09-26

  543–556
• Automatic singing quality recognition employing artificial neural networks

  Paweł ŻWAN

  65–71
• Laughter Classification Using Deep Rectifier Neural Networks with a Minimal Feature Subset

  Gábor GOSZTOLYA, András BEKE, Tilda NEUBERGER, László TÓTH

  2016-12-01

  669–682
• Prediction of Sound Insulation of Sandwich Partition Panels by Means of Artificial Neural Networks

  Naveen GARG, Siddharth DHRUW, Laghu GANDHI

  2017-11-13

  643–651
• Application of new acoustic parameters in ANN-aided pathological speech diagnosis

  Joanna SZALENIEC, Maciej MODRZEJEWSKI, Maciej SZALENIEC, Wiesław WSZOŁEK

  177–186
• The application of the resilent backpropagation algorithm and power spectrum density for recognizing the acoustic emission signals genereted by basic partial discharge forms using artificial neuron networks

  S. Borucki, T. Boczar, A. Cichoń

  2014-01-01

  335-342
• Numerical Assessment of Automotive Mufflers Using FEM, Neural Networks, and a Genetic Algorithm

  Ying-Chun CHANG, Min-Chie CHIU, Meng-Ru WU

  2018-07-11

  517–529
• Ship’s Hydroacoustics Signatures Classification

  Andrzej ŻAK

  85–90
• Noise Elimination of Reciprocating Compressors Using FEM, Neural Networks Method, and the GA Method

  Ying-Chun CHANG, Min-Chie CHIU, Ji-Lin XIE

  2017-04-25

  189–197
• Vowel recognition based on acoustic and visual features

  P. DALKA, B. KOSTEK, A. CZYŻEWSKI

  275-288
• Application of Artificial Neural Networks for Defect Detection in Ceramic Materials

  Tahir Cetin AKINCI, H. Selcuk NOGAY, Ozgur YILMAZ

  279–286
• Journal Bearing Fault Detection Based on Daubechies Wavelet

  Narendiranath Babu THAMBA, Himamshu H S, Prabin Kumar NAYAK, Rama Prabha D, Nishant CHILUAR

  2017-07-11

  401–414
• Local Fault Assessment in a Helical Geared System via Sound and Vibration Parameters Using Multiclass SVM Classifiers

  Muniyappa AMARNATH

  2016-06-14

  559–571
• Bottom type identification using combined neuro-fuzzy classifier operating on multi-frequency data

  A. STEPNOWSKI, J. MACIOŁOWSKA, Tran van DUNG

  2014-09-30

  365-378
• Active Noise Control with a Single Nonlinear Control Filter for a Vibrating Plate with Multiple Actuators

  Krzysztof MAZUR, Marek PAWEŁCZYK

  2013-12-20

  537–545
• Music Mood Visualization Using Self-Organizing Maps

  Magdalena PLEWA, Bozena KOSTEK

  2015-10-01

  513–525
• Applying computational intelligence to musical acoustics

  Bożena KOSTEK

  617-629