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A comparison of Auto Train Brain neurofeedback rewarding interfaces in terms of efficacy
(Acıbadem Mehmet Ali Aydınlar Üniversitesi, 2023-01-01)
Background/aim: Auto Train Brain is a mobile app that was specifically developed for dyslexic children to increase their reading speed and reading comprehension. In the original mobile app, only one unique neurofeedback ...
ISIKSumm at BioLaySumm task 1: BART-based summarization system enhanced with Bio-entity labels
(Association for Computational Linguistics (ACL), 2023-07-13)
Communicating scientific research to the general public is an essential yet challenging task. Lay summaries, which provide a simplified version of research findings, can bridge the gap between scientific knowledge and ...
Hotel sales forecasting with LSTM and N-BEATS
(IEEE, 2023-09-15)
Time series forecasting aims to model the change in data points over time. It is applicable in many areas, such as energy consumption, solid waste generation, economic indicators (inflation, currency), global warming (heat, ...
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 ...
TENET: a new hybrid network architecture for adversarial defense
(Springer Science and Business Media Deutschland GmbH, 2023-08)
Deep neural network (DNN) models are widely renowned for their resistance to random perturbations. However, researchers have found out that these models are indeed extremely vulnerable to deliberately crafted and seemingly ...
Auto Train Brain increases the variance of the gamma band sample entropy in the left hemisphere in dyslexia: a pilot study
(Springer Science and Business Media Deutschland GmbH, 2023)
Auto Train Brain is a mobile app that improves reading speed and reading comprehension in dyslexia. The efficacy of Auto Train Brain was proven with a clinical trial. We have analyzed the long-term training effects of the ...
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 ...
A novel similarity based unsupervised technique for training convolutional filters
(IEEE, 2023-05-17)
Achieving satisfactory results with Convolutional Neural Networks (CNNs) depends on how effectively the filters are trained. Conventionally, an appropriate number of filters is carefully selected, the filters are initialized ...