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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 ... -
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 ... -
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 ... -
Resource allocation in the finite blocklength regime under PAoI and delay violation constraints
(IEEE, 2023-08-27)URLLC (Ultra-reliable low-latency communication) is one of the more challenging modes for 5G for resource allocation (RA). Most of the previous studies for RA for wireless access in URLLC assumed known packet arrival ... -
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 ... -
AnlamVer: Semantic model evaluation dataset for Turkish - word similarity and relatedness
(Association for Computational Linguistics (ACL), 2018-08-26)In this paper, we present AnlamVer, which is a semantic model evaluation dataset for Turkish designed to evaluate word similarity and word relatedness tasks while discriminating those two relations from each other. Our ... -
Optimizing indoor localization accuracy with neural network performance metrics and software-defined IEEE 802.11az Wi-Fi set-up
(IEEE, 2023-10-28)Accurately classifying regions based on Wi-Fi signals can be a difficult task, especially when considering different frequency values. In this study, we aimed to improve the accuracy of indoor localization by developing a ... -
Optimum torque distribution during regenerative braking in a fully electrical vehicle via dynamic programming
(IEEE, 2023-10-28)In electric vehicles, it is important to maximize their regenerative braking performances for obtaining longer driving distances. In this study, for an electric vehicle having motors on the front and rear axles, an optimum ... -
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 ... -
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, ... -
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 ... -
Electromagnetic imaging of rough dielectric surface profiles using a single-frequency reverse time migration method
(IEEE, 2023-07)An electromagnetic imaging scheme, which makes use of a single-frequency reverse time migration (RTM) technique to reconstruct two-dimensional (2D) rough surface profiles from the scattered field data, is formulated and ... -
NFC loyal system on the cloud
(IEEE Computer Society, 2013)FC (Near Field Communication) technology facilitates mobile phone usage of billions of people throughout the world that offers diverse services ranging from payment and loyalty applications to access keys for offices and ... -
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 ... -
BOUN-ISIK participation: an unsupervised approach for the named entity normalization and relation extraction of Bacteria Biotopes
(Association for Computational Linguistics (ACL), 2019-11-04)This paper presents our participation at the Bacteria Biotope Task of the BioNLP Shared Task 2019. Our participation includes two systems for the two subtasks of the Bacteria Biotope Task: the normalization of entities ... -
Construction of some classes of two-variable lossless ladder networks with simple lumped elements and uniform transmission lines
(IEEE, 1998)In this paper, explicit two-variable description of some classes of ladder networks of high-pass, bandpass and band-reject types are presented. Up to a certain complexity, for two-element kinds of these type regular ... -
Reviewing the effects of spatial features on price prediction for real estate market: Istanbul case
(IEEE, 2022-09-16)In the real estate market, spatial features play a crucial role in determining property appraisals and prices. When spatial features are considered, classification techniques have been rarely studied compared to regression, ... -
Eastern Anatolia Observatory (DAG): recent development in 2019
(Universidad Nacional Autonoma de Mexico, 2019-10-04)Eastern Anatolia Observatory (DAG) will be the Turkey’s largest (4m) and first infrared observatory is located in Erzurum city at the East part of Turkey with an altitude of 3170 m. We present the recent development of DAG ... -
Wind disturbance cancellation for smaller alt-azimuth telescopes
(Universidad Nacional Autonoma de Mexico, 2019-10)This study focuses on eliminating unknown amplitude wind disturbance for 2-DOF alt-azimuth configuration small telescopes. An adaptive controller is designed to overcome wind disturbance as a set and forget system. The ... -
Convolutional neural network (CNN) algorithm based facial emotion recognition (FER) system for FER-2013 dataset
(IEEE, 2022-11-18)Facial expression recognition (FER) is the key to understanding human emotions and feelings. It is an active area of research since human thoughts can be collected, processed, and used in customer satisfaction, politics, ...