E-LIB Suche - Ergebnisse für: Panskyi, Taras

1

Educational Data Clustering in Secondary School Sensor-Base..:

Panskyi, Taras ; Korzeniewska, Ewa ; Firych-Nowacka, Anna
Applied Sciences. 14 (2024) 12 - p. 5071 , 2024

Link: https://doi.org/10.3390/..

2

Statistical and clustering validation analysis of primary s..:

Panskyi, Taras ; Korzeniewska, Ewa
Education and Information Technologies. 28 (2022) 6 - p. 6423-6451 , 2022

Link: https://doi.org/10.1007/..

3

New realities for Polish primary school informatics educati..:

Panskyi, Taras ; Korzeniewska, Ewa ; Serwach, Małgorzata.
Education and Information Technologies. 27 (2021) 4 - p. 5005-5032 , 2021

Link: https://doi.org/10.1007/..

4

The Comparative Estimation of Primary Students' Programming..:

Panskyi, Taras ; Biedroń, Sebastian ; Grudzień, Krzysztof.
Sensors. 21 (2021) 22 - p. 7511 , 2021

Link: https://doi.org/10.3390/..

5

A STEP TOWARDS THE MAJORITY-BASED CLUSTERING VALIDATION DEC..:

Panskyi, Taras ; Mosorov, Volodymyr
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska. 11 (2021) 2 - p. 4-13 , 2021

Link: https://doi.org/10.35784..

6

Out-of-school assistance in the teaching of visual creative..:

Panskyi, Taras ; Rowinska, Zdzislawa ; Biedron, Sebastian
Thinking Skills and Creativity. 34 (2019) - p. 100593 , 2019

Link: https://doi.org/10.1016/..

7

New realities for Polish primary school informatics educati..:

Panskyi, Taras ; Korzeniewska, Ewa ; Serwach, Małgorzata.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8610768/. , 2021

Link: http://www.ncbi.nlm.nih...

8

A STEP TOWARDS THE MAJORITY-BASED CLUSTERING VALIDATION DEC..:

Panskyi, Taras ; Mosorov, Volodymyr
https://ph.pollub.pl/index.php/iapgos/article/view/2596/2429. , 2021

Link: https://ph.pollub.pl/ind..

9

THE APPLICATION OF REDUNDANCY IN LEACH PROTOCOL ; ZASTOSOWA..:

Mosorov, Volodymyr ; Biedron, Sebastian ; Panskyi, Taras
https://ph.pollub.pl/index.php/iapgos/article/view/1011/784. , 2018

Link: https://ph.pollub.pl/ind..

10

MODIFIED, COMPLEMENTED TAXONOMY OF FAULTS IN FAULT-TOLERANT..:

Mosorov, Volodymyr ; Panskyi, Taras ; Biedron, Sebastian
https://ph.pollub.pl/index.php/iapgos/article/view/1010/783. , 2018

Link: https://ph.pollub.pl/ind..

11

ALTERNATIVE TERMINATION CRITERION FOR K-SPECIFIED CRISP DAT..:

Mosorov, Volodymyr ; Panskyi, Taras ; Biedron, Sebastian
https://ph.pollub.pl/index.php/iapgos/article/view/1368/1116. , 2017

Link: https://ph.pollub.pl/ind..

12

TESTING FOR REVEALING OF DATA STRUCTURE BASED ON THE HYBRID..:

Mosorov, Volodymyr ; Panskyi, Taras ; Biedron, Sebastian
https://ph.pollub.pl/index.php/iapgos/article/view/1355/1104. , 2017

Link: https://ph.pollub.pl/ind..

13

THE DEPENDENCE BETWEEN THE NUMBER OF ROUNDS AND IMPLEMENTED..:

Mosorov, Volodymyr ; Biedron, Sebastian ; Panskyi, Taras
https://ph.pollub.pl/index.php/iapgos/article/view/1369/1117. , 2017

Link: https://ph.pollub.pl/ind..

14

MODIFIED ALTERNATIVE DECISION RULE IN THE PRE-CLUSTERING AL..:

Mosorov, Volodymyr ; Panskyi, Taras ; Biedron, Sebastian
https://ph.pollub.pl/index.php/iapgos/article/view/1178/944. , 2016

Link: https://ph.pollub.pl/ind..

15

HOW DO WE DEFINE CYBERCRIME? ; JAK DEFINIUJEMY CYBERPRZESTĘ..:

Zbrojewska, Monika ; Mosorov, Volodymyr ; Biedron, Sebastian.
https://ph.pollub.pl/index.php/iapgos/article/view/1188/954. , 2016

Link: https://ph.pollub.pl/ind..