Yazar "Işık Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü" için listeleme
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Analysis of single image super resolution models
Köprülü, Mertali; Eskil, Mustafa Taner (IEEE, 2022-11-18)Image Super-Resolution (SR) is a set of image processing techniques which improve the resolution of images and videos. Deep learning approaches have made remarkable improvement in image super-resolution in recent years. ... -
Application of ChatGPT in the tourism domain: potential structures and challenges
Kılıçlıoğlu, Orkun Mehmet; Özçelik, Şuayb Talha; Yöndem, Meltem Turhan (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 ... -
Auto Train Brain increases the variance of the gamma band sample entropy in the left hemisphere in dyslexia: a pilot study
Eroğlu, Günet (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 ... -
Categorization of the models based on structural information extraction and machine learning
Khalilipour, Alireza; Bozyiğit, Fatma; Utku, Can; Challenger, Moharram (Springer Science and Business Media Deutschland GmbH, 2022-07-21)As various engineering fields increasingly use modelling techniques, the number of provided models, their size, and their structural complexity increase. This makes model management, including finding these models, with ... -
A comparison of Auto Train Brain neurofeedback rewarding interfaces in terms of efficacy
Eroğlu, Günet (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 ... -
Comparison of choreography vs orchestration based Saga patterns in microservices
Aydın, Şahin; Çebi, Cem Berke (Institute of Electrical and Electronics Engineers Inc., 2022)Microservice Architecture (MSA) is a design and architecture pattern created to deal with the challenges of conventional software programs in terms of stream processing, highly available flexibility, and infrastructural ... -
Convolutional neural network (CNN) algorithm based facial emotion recognition (FER) system for FER-2013 dataset
Ezerceli, Özay; Eskil, Mustafa Taner; 0000-0002-7877-7528 (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, ... -
Distribution games: a new class of games with application to user provided networks
Taşçı, Sinan Emre; Shalom, Mordechai; Korçak, Ömer (Institute of Electrical and Electronics Engineers Inc., 2022-11-29)User Provided Network (UPN) is a promising solution for sharing the limited network resources by utilizing user capabilities as a part of the communication infrastructure. In UPNs, it is an important problem to decide how ... -
El yazısı rakam sınıflandırması için gözetimsiz benzerlik tabanlı evrişimler
Erkoç, Tuğba; Eskil, Mustafa Taner (Institute of Electrical and Electronics Engineers Inc., 2022)Effective training of filters in Convolutional Neural Networks (CNN) ensures their success. In order to achieve good classification results in CNNs, filters must be carefully initialized, trained and fine-tuned. We propose ... -
Evaluating the English-Turkish parallel treebank for machine translation
Görgün, Onur; Yıldız, Olcay Taner (TÜBİTAK, 2022-01-19)This study extends our initial efforts in building an English-Turkish parallel treebank corpus for statistical machine translation tasks. We manually generated parallel trees for about 17K sentences selected from the Penn ... -
Forecasting and analysis of energy consumption and waste generation in Antalya with SVR
Özçelik, Şuayb Talha; Tek, Faik Boray; Şekerci, Erdal (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 ... -
From past to present: spam detection and identifying opinion leaders in social networks
Altınel Girgin, Ayşe Berna; Gümüşçekiçci, Gizem (Yildiz Teknik Univ., 2022-06-22)On microblogging sites, which are gaining more and more users every day, a wide range of ideas are quickly emerging, spreading, and creating interactive environments. In some cases, in Turkey as well as in the rest of the ... -
Graph convolutional network based virus-human protein-protein interaction prediction for novel viruses
Koca, Mehmet Burak; Nourani, Esmaeil; Abbasoğlu, Ferda; Karadeniz, İlknur; Sevilgen, Fatih Erdoğan (Elsevier Ltd, 2022-08-13)Computational identification of human-virus protein-protein interactions (PHIs) is a worthwhile step towards understanding infection mechanisms. Analysis of the PHI networks is important for the determination of path-ogenic ... -
Hotel sales forecasting with LSTM and N-BEATS
Özçelik, Şuayb Talha; Tek, Faik Boray; Şekerci, Erdal (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, ... -
Implementing lightweight, dynamic hierarchical key assignment scheme for cloud computing
Çelikbilek, İbrahim; Çeliktaş, Barış; Özdemir, Enver (IEEE, 2024-03-25)In this paper, we propose the implementation and adaptation of a hierarchical key assignment scheme (HKAS) previously developed in our research to improve access control in cloud computing environments. The secret keys ... -
ISIKSumm at BioLaySumm task 1: BART-based summarization system enhanced with Bio-entity labels
Çolak, Çağla; Karadeniz, İlknur (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 ... -
Işık'tan Bir Bölüm | Bilgisayar Mühendisliği
Tüysüz Erman, Ayşegül; Işık Üniversitesi; Işık Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü (Işık Üniversitesi, 2022-07-22)Işık Üniversitesi Mühendislik ve Doğa Bilimleri Fakültesinden Dr. Öğr. Üyesi Ayşegül Tüysüz Erman hocamızın, Bilgisayar Mühendisliği Bölümü hakkında merak edilenleri yanıtladığı videonun erişimi ve deşifresidir. -
Leveraging transformer-based language models for enhanced service insight in tourism
Er, Aleyna; Özçelik, Şuayb Talha (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 ... -
Machine learning-based model categorization using textual and structural features
Khalilipour, Alireza; Bozyiğit, Fatma; Utku, Can; Challenger, Moharram (Springer Science and Business Media Deutschland GmbH, 2022-09-08)Model Driven Engineering (MDE), where models are the core elements in the entire life cycle from the specification to maintenance phases, is one of the promising techniques to provide abstraction and automation. However, ... -
A novel similarity based unsupervised technique for training convolutional filters
Erkoç, Tuğba; Eskil, Mustata Taner (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 ...