Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Altan Çakır"'
Autor:
İsmail Koyuncu, Hacı Ali Mantar, Şule Itır Satoğlu, Altan Çakır, Mustafa Evren Erşahin, Tankut Akgül
Publikováno v:
National Technology Initiative: Social Reflections and Türkiye's Future ISBN: 9786258352177
The National Technology Initiative has been put forward in the last fifteen years as a step towards the technology and innovation competitiveness needed by our country, which has been defined in order to ensure Türkiye’s economic and technologica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a366a5dbb6bcc8c0b0e8839774c63d1
https://doi.org/10.53478/tuba.978-625-8352-17-7.ch09
https://doi.org/10.53478/tuba.978-625-8352-17-7.ch09
Publikováno v:
Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation ISBN: 9783030856250
Today’s warehouse processes require more flexibility than conventional methods in behalf of greater responsiveness to customer orders. The improvement of a smart warehouse strategy through the use of big data technologies and AI, including smart da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b3d275dd84ac5922c7399e2e04a37a2
https://doi.org/10.1007/978-3-030-85626-7_108
https://doi.org/10.1007/978-3-030-85626-7_108
Autor:
Mahsun Altin, Altan Cakir
Publikováno v:
IEEE Access, Vol 12, Pp 85783-85794 (2024)
This paper presents an extensive empirical study on the integration of dimensionality reduction techniques with advanced unsupervised time series anomaly detection models, focusing on the MUTANT and Anomaly-Transformer models. The study involves a co
Externí odkaz:
https://doaj.org/article/6ca20470c79f4f448fdeb5ca6bc20073
Autor:
Altan Cakir, Mert Gurkan
Publikováno v:
Machine Learning with Applications, Vol 14, Iss , Pp 100509- (2023)
This work addresses an alternative approach for query expansion (QE) using a generative adversarial network (GAN) to enhance the effectiveness of information search in e-commerce. We propose a modified QE conditional GAN (mQE-CGAN) framework, which r
Externí odkaz:
https://doaj.org/article/973de622d1eb4930b52812e54f4a0936
Publikováno v:
Journal of Big Data, Vol 9, Iss 1, Pp 1-24 (2022)
Abstract Today we create and collect more data than we have in the past. All this data comes from different sources, including social media platforms, our phones and computers, healthcare gadgets and wearable technology, scientific instruments, finan
Externí odkaz:
https://doaj.org/article/490c8c81e0cf4bce966f7dcaeaaefcd6