Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Furkan GÜRSOY"'
Publikováno v:
International Journal of Information Systems and Project Management, Vol 7, Iss 4 (2021)
As organizations’ investments on information systems/information technology (IS/IT) increase, the assessment methods used during IS/IT investment decision-making process holds more and more importance. Since successful IS/IT projects are key to the
Externí odkaz:
https://doaj.org/article/4ee7811981e44b059ca1b4570d30797d
Autor:
Tolga ÖZTÜRK, Furkan GÜRSOY
Publikováno v:
Volume: 22, Issue: 1 117-131
Akdeniz İİBF Dergisi
Akdeniz İİBF Dergisi
Sanayi Devrimi neticesinde insanlığın enerji ihtiyaçlarını karşılayabilmek için yeraltındaki fosil yakıtlar kullanmasıyla dünya yeni bir döneme girmiştir. Günümüzde yaşadığımız ve hayatın hemen hemen her alanında etkilerini g
Autor:
Furkan Gürsoy, Bertan Badur
Human migration patterns influence the redistribution of population characteristics over the geography and since such distributions are closely related to social and economic outcomes, investigating the structure and dynamics of internal migration pl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea6e22d8b82ebd83ffeb89805646ab00
http://arxiv.org/abs/2201.03543
http://arxiv.org/abs/2201.03543
Publikováno v:
International Journal of Information Systems and Project Management, Vol 07, Iss 04, Pp 33-52 (2019)
As organizations’ investments on information systems/information technology (IS/IT) increase, the assessment methods used during IS/IT investment decision-making process holds more and more importance. Since successful IS/IT projects are key to the
Autor:
Furkan Gursoy, Ioannis A. Kakadiaris
Publikováno v:
Frontiers in Big Data, Vol 6 (2023)
The foundations of Artificial Intelligence (AI), a field whose applications are of great use and concern for society, can be traced back to the early years of the second half of the 20th century. Since then, the field has seen increased research outp
Externí odkaz:
https://doaj.org/article/5dc7310313f04b7e8698cc67bad023a7
Publikováno v:
IEEE Access, Vol 9, Pp 18307-18317 (2021)
Deep-learning based computer vision models have proved themselves to be ground-breaking approaches to human activity recognition (HAR). However, most existing works are dedicated to improve the prediction accuracy through either creating new model ar
Externí odkaz:
https://doaj.org/article/26a841f601ce421181e4be8621f7c1ee