Ara
Toplam kayıt 17, listelenen: 11-17
Adaptation of the businesses not to fall behind in the new normal period
(PressAcademia, 2020-07-30)
Purpose - This paper aims to be an exploratory study that ascertains the impacts of COVID-19 on business life and ushers further research on the subject. Methodology - Internet-based research is conducted to collect the ...
TUR2SQL: A cross-domain Turkish dataset for Text-to-SQL
(IEEE, 2023-09-15)
The field of converting natural language into corresponding SQL queries using deep learning techniques has attracted significant attention in recent years. While existing Text-to-SQL datasets primarily focus on English and ...
Assessing dyslexia with machine learning: a pilot study utilizing Google ML Kit
(IEEE, 2023-12-19)
In this study, we explore the application of Google ML Kit, a machine learning development kit, for dyslexia detection in the Turkish language. We collected face-tracking data from two groups: 49 dyslexic children and 22 ...
Leveraging transformer-based language models for enhanced service insight in tourism
(IEEE, 2023-12-22)
Customer feedback is a valuable resource for enhancing customer experience and identifying areas that require improvement. Utilizing user insights allows a tourism company to identify and address problematic points in its ...
Application of ChatGPT in the tourism domain: potential structures and challenges
(IEEE, 2023-12-23)
The tourism industry stands out as a sector where effective customer communication significantly influences sales and customer satisfaction. The recent shift from traditional natural language processing methodologies to ...
Forecasting and analysis of energy consumption and waste generation in Antalya with SVR
(IEEE, 2023-12-24)
Antalya, a rapidly expanding coastal city in Türkiye, has experienced significant changes due to urbanization and increasing tourism activities. Comprehending tourism trends is crucial for the city's sustainable development ...
Uzaktan algılanan görüntülerde bina yoğunluğu kestirimi için derin öğrenme
(Institute of Electrical and Electronics Engineers Inc., 2019-09)
Bu bildiri, derin öğrenme yöntemleri uygulayarak uzaktan algılamalı optik görüntülerde bina yoğunluğunun noktasal olarak kestirilmesi ile ilgilidir. Bu çalışma kapsamında, evrişimsel sinir ağına (ESA) dayalı derin öğrenme ...