Wykaz publikacji wybranego autora

Iwona Skalna, dr hab., prof. AGH

profesor nadzwyczajny

Wydział Zarządzania
WZ-kibiz, Katedra Informatyki Biznesowej i Inżynierii Zarządzania

  • 2018

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

    [dyscyplina 2] dziedzina nauk społecznych / ekonomia i finanse (25%)

[poprzednia klasyfikacja] obszar nauk społecznych / dziedzina nauk ekonomicznych / nauki o zarządzaniu

Identyfikatory Autora Informacje o Autorze w systemach zewnętrznych

ORCID: 0000-0001-5707-7525 orcid iD

ResearcherID: A-6570-2017

Scopus: 6508165229

PBN: 5e70923a878c28a04739209a

OPI Nauka Polska

System Informacyjny AGH (SkOs)

1
  • Analysis of natural language processing in the FinTech models of mid-21\textsuperscript{st} century
2
  • 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
3
  • Cyber-physical logistics platform - toward digitalization of printing company
4
  • Identification of technical measures that will simulate and stimulate smart growth in a smart sustainable and inclusive digitalization
5
  • Improving $N-NEH+$ algorithm by using Starting Point method
6
  • Influence of Internet of things on human psychology (internet of thoughts) for education, healthcare, and businesses
7
  • 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
8
  • Significant of space-syntax in assessing trend needed for the applicability and used of big data on healthcare sector
9
  • Swap Method to improve $N$-NEH+ algorithm
10
  • The art of waste management in a circular economy
11
  • The influence of technology development on communication on the example of a logistic system
12
  • Virtual monitoring as a digital delivery and assessment impact on students' learning
13
  • Wireless sensor networks and Internet of Things for e-services applied natural language processing and deep learning