Yazar "TAÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü" için listeleme
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Adapting engineering education to Industry 4.0 vision
Coşkun, Selim; Kayıkcı, Yaşanur; Gençay, Eray (Mdpi, 2019)Industry 4.0 is originally a future vision described in the high-tech strategy of the German government that is conceived upon information and communication technologies like Cyber-Physical Systems, Internet of Things, ... -
Amplification of brightness variability by active-region nesting in Solar-like stars
Işık, Emre; Shapiro, Alexander I.; Solanki, Sami K.; Krivova, Natalie A. (Iop Publishing Ltd, 2020)Kepler observations revealed that hundreds of stars with near-solar fundamental parameters and rotation periods have much stronger and more regular brightness variations than the Sun. Here we identify one possible reason ... -
Applications of non-monotonic reasoning to automotive product configuration using answer set programming
Gençay, Eray; Schüller, Peter; Erdem, Esra (Springer, 2019)In automotive industry, validation and maintenance of product configuration data is a complex task. Both orders from the customers and new product line designs from the R&D department are subject to a set of configuration ... -
An attack detection framework based on BERT and deep learning
Seyyar, Yunus Emre; Yavuz, Ali Gökhan; Ünver, Halil Murat (IEEE, 2022)Deep Learning (DL) and Natural Language Processing (NLP) techniques are improving and enriching with a rapid pace. Furthermore, we witness that the use of web applications is increasing in almost every direction in parallel ... -
A comprehensive database analysis of post-translational modifications with chemical and functional categories. A throughout PTM study of 2022 databases.
Gül, Nadir; Yıldız, Ahmet (2023)One of the most important mechanisms that directly affect protein diversity and function is post-translational modification, which has grown exponentially and now encompasses a vast quantity of data. In order to better ... -
Connecting measurements of solar and stellar brightness variations
Nemec, Nina; Işık, Emre; Shapiro, A. I.; Solanki, Sami K.; Krivova, N. A.; Unruh, Y. (Edp Sciences S A, 2020)Context. A comparison of solar and stellar brightness variations is hampered by the difference in spectral passbands that are used in observations, and also by the possible difference in the inclination of the solar and ... -
Evaluation-focused multidimensional score for Turkish abstractive text summarization
Kayalı, Nihal Zuhal; Omurca, Sevinç İlhan (Sakarya University, 2024)Despite the inherent complexity of Abstractive Text Summarization, which is widely acknowledged as one of the most challenging tasks in the field of natural language processing, transformer-based models have emerged as ... -
Faculae cancel out on the surfaces of active suns
Nemec, N. E.; Shapiro, A. I.; Işık, Emre; Sowmya, K.; Solanki, S. K.; Krivova, N. A.; Cameron, R. H.; Gizon, L. (IOP Publishing, 2022)Surfaces of the Sun and other cool stars are filled with magnetic fields, which are either seen as dark compact spots or more diffuse bright structures like faculae. Both hamper detection and characterization of exoplanets, ... -
Gathering road safety critical information from users
Yıldız, Ahmet (Igi Global, 2017)Traffic roads are a core element of GIS and many volunteered systems like openstreetmaps have the goal to make road data publicly available. Road users collecting geographical information and sharing them according some ... -
Hybrid Tokenization Strategy for Turkish Abstractive Text Summarization
Text summarization is a significant topic in natural language processing. Tokenization approaches are important in this regard as they underpin text recognition and processing. The aim of this paper is to research the ... -
Influence of urban built environment on traffic accidents: the case of Eskisehir (Turkey)
Kaygısız, Ömür; Şenbil, Metin; Yıldız, Ahmet (Elsevier, 2017)This paper explores effects of urban the built environment on traffic accidents in the context of a developing country. The basic objective of this study is to use simple and practical models to analyze traffic accidents, ... -
Konvolüsyonel sinir ağları (CNN) ile Çin sayı orüntülerinin sınıflandırması
The MNIST dataset, which has become a standard for Machine Learning and Deep Learning applications, is quite popular. In thisstudy, a dataset containing images of handwritten Chinese numbers is introduced as a variation ... -
Predictions of astrometric jitter for sun-like stars. II. dependence on ınclination, metallicity, and active-region nesting
Krishnamurthy, Sowmya; Nemec, Nina Elisabeth; Shapiro, Alexander; Işık, Emre; Witzke, Veronika; Mints, Alexey; Krivova, Natalie; Solanki, Sami (IOP Publishing, 2021)Ultra-precise astrometry from the Gaia mission is expected to lead to astrometric detections of more than 20,000 exoplanets in our Galaxy. One of the factors that could hamper such detections is the astrometric jitter ... -
Predictions of astrometric jitter for sunlike stars. III. Fast Rotators
Sowmya, K.; Nemec, N. E.; Shapiro, A., I.; Işık, Emre; Krivova, N. A.; Solanki, S. K. (IOP Publishing, 2022)A breakthrough in exoplanet detections is foreseen with the unprecedented astrometric measurement capabilities offered by instrumentation aboard the Gaia space observatory. Besides, astrometric discoveries of exoplanets ... -
Spatio-temporal accident analysis for accident prevention in relation to behavioral factors in driving: the case of South Anatolian Motorway
Kaygısız, Ömür; Düzgün, Şebnem; Yıldız, Ahmet; Şenbil, Metin (Elsevier Sci Ltd, 2015)Analyzing the pattern of traffic accidents on road segments can highlight the hazardous locations where the accidents occur frequently and help to determine problematic parts of the roads. The objective of this paper is ... -
Spatio-temporal pedestrian accident analysis to improve urban pedestrian safety: the case of the Eskişehir motorway
Kaygısız, Ömür; Yıldız, Ahmet; Düzgün, Şebnem (Gazi University Eti Mahallesi, 2015)Determining pedestrian accident hotspots on road segments is a crucial part of the pedestrian safety assessment as it is used to prioritize problematic parts of a road network for in particularly planning and implementation ... -
Temporal transaction scraping assisted point of compromise detection with autoencoder based feature engineering
Credit card fraudsters exploit various methods to capture card information. One of the common methods is to duplicate the credit cards by skimming. In this study, we introduce a new point of compromise detection method ... -
Türkçe hibrit metin özetleme için aday özet eleme yaklaşımı
The importance of text summarization in the field of natural language processing has increased significantly in recent years. With increasing amounts of text data, it is crucial to develop effective methods for automatic ... -
Web application firewall based on anomaly detection using deep learning
Toprak, Sezer; Yavuz, Ali Gökhan (2022)Anomali tespiti, farklı sektörlerde ve uygulama alanlarında araştırılmaya devam etmektedir. Anomali tespitindeki temel zorluk, benzersiz özelliklere ve yeni değerlere sahip bir girdi ile karşılaşılması durumunda normallerden ... -
Where have all the solar-like stars gone? Rotation period detectability at various inclinations and metallicities
Reinhold, Timo; Shapiro, Alexander I.; Witzke, Veronika; Nèmec, Nina E.; Işık, Emre; Solanki, Sami K. (IOP Publishing, 2021)The plethora of photometric data collected by the Kepler space telescope has pro moted the detection of tens of thousands of stellar rotation periods. However, these periods are not found to an equal extent among different ...
