Wykaz publikacji wybranego autora

Ryszard Tadeusiewicz, prof. dr hab. inż.

profesor zwyczajny

Wydział Elektrotechniki, Automatyki, Informatyki i Inżynierii Biomedycznej
WEAIiIB-kbib, Katedra Biocybernetyki i Inżynierii Biomedycznej

  • 2018

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

[poprzednia klasyfikacja] obszar nauk technicznych / dziedzina nauk technicznych / biocybernetyka i inżynieria biomedyczna

Identyfikatory Autora Informacje o Autorze w systemach zewnętrznych

ORCID: 0000-0001-9675-5819 orcid iD

ResearcherID: A-8933-2017

Scopus: 7003526620

PBN: 5e7091f2878c28a04738d8b7

OPI Nauka Polska

System Informacyjny AGH (SkOs)

1
  • Artificial intelligence as a tool for development of interdisciplinary study on elements and health
2
  • Artificial intelligence as a tool for development of new materials
3
4
  • Artificial intelligence techniques in retrieval of visual data semantic information
5
  • Cognitive vision systems in medical applications
6
  • Compression of sequences of thermograms documenting dynamic forearm studies in hemodialyzed patients
7
  • Conceptual model of theoretical knowledge representation for distance learning
8
  • Content-based reasoning in intelligent medical information systems
9
  • Evaluation of usefulness of artificial intelligence methods in aviation noise monitoring systems
10
  • Image processing systems at Biocybernetic Lab of AGH: from TTL to modern FPGA
11
  • Komp'ûterne modelûvannâ ta rozrahunok perehìdnih procesìv v avtomatičnih sistemah
12
  • Mobile system for acquisition and automatic recognition of the auditory brainstem response signals
13
  • New approach for cognitive analysis and understanding of medical patterns and visualizations
14
  • New method for predicting corona audible noise from UHV AC transmission lines
15
  • New method for predicting corona audible noise from UHV AC transmission lines
16
  • New paradigm for processing of medical images: automatic understanding of the content
17
  • Nonlinear processing and semantic content analysis in medical imaging
18
  • Prediction of clinical diseases using artificial neural networks
19
  • System for intelligent processing and recognition of auditory brainstem response (ABR) signals
20
  • Utilization of artificial intelligence methods for assistance in interpretation of acoustic signals
21
  • Utilization of artificial intelligence methods for assistance in interpretation of acoustic signals
22
  • Visual signal processing and image understanding in biomedical systems
23
  • Wastewater treatment scenarios – Olkusz Water Supply and Sewerage Company case study