Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Adil Joldic"'
Publikováno v:
2021 20th International Symposium INFOTEH-JAHORINA (INFOTEH).
The aim of this research is to implement Computer Vision technologies on existing published concept proposed by the same author in previous researches "Collaborative and Non-Collaborative Dynamic Path Prediction for Mobile Agents Collision Detection
Publikováno v:
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems ISBN: 9783030859053
APMS (3)
APMS (3)
This paper describes the continuation of a series of research in which human behavior, in the form of models and algorithms, endeavor to be mapped into the field of mobile robotics, all with the aim of more efficient path prediction with collision de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d57266d32c8f45275f4228912190e72c
https://doi.org/10.1007/978-3-030-85906-0_7
https://doi.org/10.1007/978-3-030-85906-0_7
Publikováno v:
SISY
The aim of this research is to create fully functional environment for real-life testing of various algorithms in mobile robotic. Main advantage, beside low-cost, is dealing with challenges of real-life implementation. Unlike simulation environments
Autor:
Adil Joldic, Haris Memic
Publikováno v:
2010 2nd International Conference on Software Technology and Engineering.
Online social networks are popular habitats for many Web users. Research on activity patterns of individual features of online social networking systems is ongoing. Our approach on the study of these patterns is more encompassing than previous effort
Publikováno v:
2010 International Conference on Educational and Network Technology.
During recent years much significant progress has been made in the research of different aspects of university education. Various methods, techniques, approaches and learning concepts related to research in this area have been developed. It is undoub
Publikováno v:
ICAT
Complexity of data analysis in data mining often makes results difficult to interpret. This problem could be solved using various approaches. Principal Component Analysis (PCA) and Disjoint Cluster Analysis (DCA) are methods used for data reduction a