Wykaz publikacji wybranego autora

Tomasz Pełech-Pilichowski, dr inż.

adiunkt

Wydział Informatyki
WI-ii, Instytut Informatyki

  • 2018

    [dyscyplina 1] dziedzina nauk inżynieryjno-technicznych / informatyka techniczna i telekomunikacja

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

Identyfikatory Autora Informacje o Autorze w systemach zewnętrznych

ORCID: 0000-0003-2212-7806 orcid iD

ResearcherID: brak

Scopus: 24451024900

PBN: 5e70923a878c28a047392088

OPI Nauka Polska

System Informacyjny AGH (SkOs)

1
  • A hybrid algorithm for detecting changes in diagnostic signals received from technical devices
2
  • A two-level detector of short-term unique changes in time series based on a similarity method
3
  • Acquisition, storing, and processing system for interdisciplinary research in earth sciences
4
  • Adaptative Holt's forecasting model based on immune paradigm
5
  • Advances in business ICT
6
  • Advances in business ICT: new ideas from ongoing research
7
  • Advances in fuzzy decision making
8
  • Advances in ICT for business, industry and public sector
9
  • Analysis of the best fit pre-train deep learning model (DLMs) that can integrate blockchain technology in the health sectors using natural language processing (NLP) as the main source of data clustering
10
  • Analysis of virtual reality based on the Internet of Things on human psychology ‘Internet of Thoughts’ (IoThs) for rich content extraction applied natural language processing and deep learning
11
  • Computer-aided legislation based on immune-like processing of legal texts
12
  • Detection of periodic components from seasonal time series with moving trend method and low pass filtering
13
  • Enhancements of moving trend based filters aimed at time series prediction
14
  • Event detection in financial time series by immune-based approach
15
  • Integration of Internet of Things (IoTs) with Wireless Sensor Networks (WSNs) for a transformative secure community mindset applied deep learning models and natural language processing techniques
16
  • Integration of sensors and predictive analysis with machine learning as a modern tool for economic activities and a major step to fight against climate change
17
  • Low-frequency signal reconstruction and abrupt change detection in non-stationary time series by enhanced moving trend based filters
18
  • Neural-network based adaptation of variation operators' parameters for metaheuristics
19
  • Non-stationarity detection in time series with dedicated distance-based algorithms
20
  • On adaptive prediction of nonstationary and inconsistent large time series data
21
  • On application of distance-like algorithms to event detection from non-stationary time series
22
  • On problems of automatic legal texts processing and information acquiring from normative acts
23
  • Remarks on visualization of fuzziness of cardiac data
24
  • Visual analysis of similarity and relationships between legal texts
25
  • Visualization of irregular datasets using kernel density estimation function