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Toplam kayıt 7, listelenen: 1-7
Yapay zekâ ve sözleşme dışı kusursuz sorumluluk
(Antalya Bilim Üniversitesi Hukuk Fakültesi Dergisi, 2022)
Yapay zekâ modellerinden beklenen “yeterince” iyi sonuçlar vermeleridir. Sonuçların ne derece yeterli olduğu prob leme göre değişkenlik gösterir. Modeller daima gerçek değerler ile tahminler arasındaki farkı temsil eden ...
Classification of diabetic cardiomyopathy-related cells using machine learning
(Moscow University Physics Bulletin, 2022)
The patch-clamp technique is a significant tool in current electrophysiology research, especially
in cardiovascular diseases, because it can capture electrical activity of the heart from cardiomyocytes. It
is challenging ...
Tips and trips: a structural model of guests’ intentions to stay and tip for AI-based services in hotels
(Emerald Publishing, 2023)
Purpose-Given the rapid development in artificial intelligence (AI), the hotel industry is deploying AI-based systems. In line with this important development, this study aims to examine the impact of trust in the hotel ...
Emotional ANN (EANN): a new generation of neural networks for hydrological modeling in IoT
(Springer Nature Switzerland AG, 2019)
Emotional artificial neural network (EANN) is a cutting-edge artificial intelligence method that has been used by researchers in the engineering and medical sciences over the recent years. First introduced in the 1999s, ...
Letting AI make decisions for me: an empirical examination of hotel guests’ acceptance of technology agency
(Emerald Publishing, 2023)
Purpose
This study aims to examine hotel guests’ acceptance of technology agency – the extent to which they would let artificial intelligence (AI)-based systems make decisions for them when staying in hotels. The examination ...
Applying artificial intelligence technique to predict knowledge hiding behavior
(International Journal of Information Management, 2019)
Drawing on psychological ownership and social exchange theories, this study suggests theoretical arguments and empirical evidence for understanding employee reactions to distributive, procedural, and interactional (in)justice ...
Applying machine learning approach to predict students’ performance in higher educational institutions
(Kybernetes, 2021)
Purpose – Academic success and failure are relevant lifelines for economic success in the knowledge-based economy. The purpose of this paper is to predict the propensity of students’ academic performance using early detection ...