Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Zeynep Hilal Kilimci"'
Publikováno v:
PeerJ Computer Science, Vol 10, p e2263 (2024)
Text classification tasks, particularly those involving a large number of features, pose significant challenges in effective feature selection. This research introduces a novel methodology, MBO-NB, which integrates Migrating Birds Optimization (MBO)
Externí odkaz:
https://doaj.org/article/a0c3067e0704487d974878babe81f6b8
Autor:
Onur Karakaya, Zeynep Hilal Kilimci
Publikováno v:
PeerJ Computer Science, Vol 10, p e1831 (2024)
Anticancer peptides (ACPs) are a group of peptides that exhibit antineoplastic properties. The utilization of ACPs in cancer prevention can present a viable substitute for conventional cancer therapeutics, as they possess a higher degree of selectivi
Externí odkaz:
https://doaj.org/article/2411d3d994524714b3e84f3097a71d3b
Autor:
Zeynep Hilal Kilimci
Publikováno v:
Journal of Information and Telecommunication, Vol 6, Iss 1, Pp 43-62 (2022)
Customer loyalty is important for many industries, including banking, telecommunications, gaming, and shopping, in terms of sustainability. In mobile applications, it is observed that the demand rises with the usage of mobile devices such as smartpho
Externí odkaz:
https://doaj.org/article/05b0f17714964b5a94b73e93029c37fa
Autor:
Zeynep Hilal Kilimci, Feyza Çevik
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 27, Iss 2, Pp 151-161 (2021)
Parkinson hastalığı, hastanın yaşam kalitesini etkileyen, önemli sosyal ve ekonomik etkileri olan ve semptomların aşamalı görünümü nedeniyle erken teşhis edilmesi güç olan yaygın bir nörolojik hastalıktır. Parkinson hastalığın
Externí odkaz:
https://doaj.org/article/dfd9f5fda9ce4eb28e99c8fec0042fc9
Publikováno v:
IEEE Access, Vol 8, Pp 19799-19809 (2020)
Human activity recognition is a challenging problem with many applications including visual surveillance, human-computer interactions, autonomous driving and entertainment. In this study, we propose a hybrid deep model to understand and interpret vid
Externí odkaz:
https://doaj.org/article/cfec02ea861248e0bc6a9815146ac409
Autor:
Zeynep Hilal Kilimci, Ramazan Duvar
Publikováno v:
IEEE Access, Vol 8, Pp 188186-188198 (2020)
To forecast the movement directions of stocks, exchange rates, and stock markets are significant and an active research area for investors, analysts, and researchers. In this paper, word embedding and deep learning-based direction prediction of Istan
Externí odkaz:
https://doaj.org/article/f6c93e9ec72b469baed0c79ff9e25b5e
Autor:
Zeynep Hilal Kilimci, A. Okay Akyuz, Mitat Uysal, Selim Akyokus, M. Ozan Uysal, Berna Atak Bulbul, Mehmet Ali Ekmis
Publikováno v:
Complexity, Vol 2019 (2019)
Demand forecasting is one of the main issues of supply chains. It aimed to optimize stocks, reduce costs, and increase sales, profit, and customer loyalty. For this purpose, historical data can be analyzed to improve demand forecasting by using vario
Externí odkaz:
https://doaj.org/article/66afdde054714514af675076e791b16c
Publikováno v:
Complexity, Vol 2019 (2019)
Nowadays, smart devices as a part of daily life collect data about their users with the help of sensors placed on them. Sensor data are usually physical data but mobile applications collect more than physical data like device usage habits and persona
Externí odkaz:
https://doaj.org/article/ea423318008c4c52b9dc68d861f41d44
Autor:
Harun Yasar, Zeynep Hilal Kilimci
Publikováno v:
Symmetry, Vol 12, Iss 9, p 1553 (2020)
Exchange rate forecasting has been an important topic for investors, researchers, and analysts. In this study, financial sentiment analysis (FSA) and time series analysis (TSA) are proposed to form a predicting model for US Dollar/Turkish Lira exchan
Externí odkaz:
https://doaj.org/article/8dc849196310411395681a39049802f1
Autor:
Zeynep Hilal KİLİMCİ
Publikováno v:
Volume: 5, Issue: 2 167-177
Kocaeli Journal of Science and Engineering
Kocaeli Journal of Science and Engineering
Due to the closure experienced during the pandemic, many investors divert their investments to different exchanges. In this sense, it has been observed that while sectors such as transportation, banking, and services have seriously lost value, especi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6612abab8bbe07bd1b429996d448b89
https://doi.org/10.34088/kojose.1069352
https://doi.org/10.34088/kojose.1069352