Wykaz publikacji wybranego autora

Tadeusz Wszołek, dr hab. inż., prof. AGH

profesor nadzwyczajny

Wydział Inżynierii Mechanicznej i Robotyki
WIMiR-kmw, Katedra Mechaniki i Wibroakustyki

  • 2018

    [dyscyplina 1] dziedzina nauk inżynieryjno-technicznych / inżynieria mechaniczna

[poprzednia klasyfikacja] obszar nauk technicznych / dziedzina nauk technicznych / mechanika

Identyfikatory Autora Informacje o Autorze w systemach zewnętrznych

ORCID: 0000-0001-5057-3227 orcid iD

ResearcherID: R-7697-2016

Scopus: 6603302628

PBN: 5e70920a878c28a04738ef8f

OPI Nauka Polska

System Informacyjny AGH (SkOs)

1
  • Analysis and classification of the pathological speech using artificial intelligence methods
2
  • Analysis and classification of the pathological speech using artificial intelligence methods
3
  • Analysis of wind turbine acoustic signals in terms of detecting amplitude modulation and frequency deviation
4
  • Application of acoustic signal recognition methods in air-traffic noise monitoring systems
5
  • Application of artificial intelligence methods for aiding of noise monitoring system
6
  • Application of laboratory studies of corona noise for assessment of technical condition of UHV transmission lines in real world conditions
7
  • Application of neural network computation to recognition of some damages of UHV power lines elements using corona audible noise
8
  • Application of neural networks to identification of mobile objects based on vibroacoustic signals
9
  • Application of the corona acoustic signal in the diagnosis of the UHV power lines technical condition
10
  • Artificial intelligence methods in supporting long-term monitoring of aircraft noise
11
  • Assessment of corona audible noise from UHV overhead power lines according to the European Noise Directive $2002/49/WE$ regulations
12
  • Assessment of corona audible noise from UHV overhead power lines according to the Noise Directive 2002/49/CE regulations
13
  • Assessment of the long-term levels for corona audible noise in vicinity of UHV transmission lines
14
  • Attempt of the sound level evaluation for the corona noise of UHV transmission lines in the intensified interference conditions
15
  • Automated understanding of selected voice tract pathologies based on the speech signal analysis
16
  • Automated understanding of selected voice tract pathologies based on the speech signal analysis using AI methods
17
  • Automatic detection of long-term noise indices in continuous monitoring of the acoustic signal from corona process on UHV transmission lines
18
  • Automatic understanding of speech pathology
19
  • Bayesian estimation of sound power level
20
  • Case study of acoustic adaptation of a TV studio and experimental verification of its acoustic parameters
21
  • Classification ability of neural networks in automatic analysis of selected vibroacoustic processes
22
  • Comparison of ISO 9613-2 and CNOSSOS-EU methods in noise modelling of a large industrial plant
23
  • Corona noise generated from a four circuit double voltage UHV AC line
24
25
  • Does stochastic and modulated wind turbine infrasound affect human mental performance compared to steady signals without modulation?