Yazar "Ekinci, Ekin" için listeleme
-
An alternative word embedding approach for knowledge representation in online consumers’ reviews
Ekinci, Ekin; İlhan Omurca,Sevinç (PAMUKKALE ÜNİVERSİTESİ, 2023)Öz: Purchasing decisions in e-commerce shopping websites are highly influenced by online reviews. Although online reviews contain fine- grained consumers’ opinions that reflect their preferences towards products; an ... -
Application of machine learning algorithms and feature selection methods for better prediction of sludge production in a real advanced biological wastewater treatment plant
Ekinci, Ekin; Özbay, Bilge; Omurca, Sevinç İlhan; Sayın, Fatma Ece; Özbay, İsmail (ELSEVIER, 2023)Although the management of sewage sludge is an important and challenging task of wastewater treatment, there is a scarcity of studies on the prediction of waste sludge. To overcome this deficiency, the present work aims ... -
Automated classification of choroidal neovascularization, diabetic macular edema, and drusen from retinal OCT images using vision transformers: a comparative study
Akça, Said; Garip, Zeynep; Ekinci, Ekin; Atban, Furkan (Springer Science and Business Media Deutschland GmbH, 2024)Classifying retinal diseases is a complex problem because the early problematic areas of retinal disorders are quite small and conservative. In recent years, Transformer architectures have been successfully applied to solve ... -
Automatic Detection of the Topics in Customer Complaints with Artificial Intelligence
Today, people first make their complaints and compliments on the internet about a product which they use or a company they are a customer of. Therefore, when they are going to buy a new product, they first analyze the ... -
Chaotic marine predator optimization algorithm for feature selection in schizophrenia classification using EEG signals
Garip, Zeynep; Ekinci, Ekin; Serbest, Kasım; Eken, Süleyman (Springer, 2024)Schizophrenia is a chronic mental illness that can negatively affect emotions, thoughts, social interaction, motor behavior, attention, and perception. Early diagnosis is still challenging and is based on the disease’s ... -
Classification of Imbalanced Offensive Dataset – Sentence Generation for Minority Class with LSTM
Ekinci, Ekin (2022)The classification of documents is one of the problems studied since ancient times and still continues to be studied. With the social media becoming a part of daily life and its misuse, the importance of text classification ... -
Comparative assessment of modeling deep learning networks for modeling ground-level ozone concentrations of pandemic lock-down period
Ekinci, Ekin; Omurca, Sevinç İlhan; Özbay, Bilge (Elsevier, 2021)Covid-19 pandemic lock-down has resulted significant differences in air quality levels all over the world. In contrary to decrease seen in primary pollutant species, many of the countries have experienced elevated ground-level ... -
A comparative study of optimization algorithms for feature selection on ML-based classification of agricultural data
Garip, Zeynep; Ekinci, Ekin; Cimen, Murat Erhan (SPRINGER, 2023)In today's world, agricultural production and operation activities generate a lot of data. As a result, computer-aided agriculture applications have become a hot topic in the study, with various machine learning (ML) ... -
A comparative study of optimization algorithms for feature selection on ML-based classification of agricultural data
Garip, Zeynep; Ekinci, Ekin; Çimen, Murat Erhan (Springer, 2024)In today’s world, agricultural production and operation activities generate a lot of data. As a result, computer-aided agriculture applications have become a hot topic in the study, with various machine learning (ML) ... -
Comparing COVID-19 vaccine passports attitudes across countries by analysing Reddit comments
Yurtsever, Muhammet Mucahit Enes; Shiraz, Muhammad; Ekinci, Ekin; Eken, Sueleyman (Sage Publications Ltd, 2023)Topic mining and sentiment polarity analysis together can adequately represent the topics and attitudes of users. The goal of this article is to use Reddit's location-based subreddits to look at country-level differences ... -
COMPARISON OF LONG SHORT-TERM MEMORY NETWORKS FOR DAILY AHEAD-FLOW PREDICTIONS ON A RIVER
Ekinci, Ekin; Ekinci, Önder; Morkoyunlu, Arzu (Gheorghe Asachi Technical University of Iasi, Romania, 2024)Prediction of peak river flows is an important problem for the design, management, and safety of hydraulic structures. The aim of the present study was to investigate the prediction capabilities of Long Short-Term Memory ... -
COVID-19 and Behavioral Analytics: Deep Learning-Based Work-From-Home Sensing from Reddit Comments
Yurtsever, M. M. Enes; Ekinci, Ekin; Eken, Süleyman (Springer Science and Business Media Deutschland GmbH, 2024)For the foreseeable future, managing the work from home (WFH) workplace will continue to be a challenge for enterprises. An essential stage in developing and improving a plan is utilizing topic modeling and polarity sentiment ... -
Day-ahead solar photovoltaic energy forecasting based on weather data using LSTM networks: a comparative study for photovoltaic (PV) panels in Turkey
Garip, Zeynep; Ekinci, Ekin; Alan, Ali (Springer Science and Business Media Deutschland GmbH, 2023)Photovoltaic (PV) panels are used to generate electricity by using solar energy from the sun. Although the technical features of the PV panel affect energy production, the weather plays the leading influential role. In ... -
Derin ve Sığ Makine Öğrenmesi Yöntemleri ile Türkçe Tweetlerden Saldırgan Dil Tespiti
Canbay,Pelin; Ekinci, Ekin (TBV (Türkiye Bilişim Vakfı), 2023)Nefret söylemi, bir kişiye veya bir gruba yönelik nefreti ifade eden veya şiddeti teşvik eden söylemlerin genel adıdır. Bu söylemler son zamanlarda dijital ortamlarda kontrol edilemez bir şekilde artmıştır. Özellikle Twitter ... -
A document image classification system fusing deep and machine learning models
Omurca, Sevinc Ilhan; Ekinci, Ekin; Sevim, Semih; Edinc, Eren Berk; Eken, Suleyman; Sayar, Ahmet (Springer, 2022)Artificial Intelligence (AI) technologies are now widely employed to overcome human-induced faults in a variety of systems used in our daily lives, thanks to the digital transformation.One example of such systems is online ... -
Meta-heuristic optimization algorithms based feature selection for joint moment prediction of sit-to-stand movement using machine learning algorithms
Ekinci, Ekin; Garip, Zeynep; Serbest, Kasım (Elsevier Ltd, 2024)The sit-to-stand (STS) movement is fundamental in daily activities, involving coordinated motion of the lower extremities and trunk, which leads to the generation of joint moments based on joint angles and limb properties. ... -
Multi-Class Document Image Classification using Deep Visual and Textual Features
Sevim, Semih; Ekinci, Ekin; Omurca, Sevinc Ilhan; Edinc, Eren Berk; Eken, Suleyman; Erdem, Turkucan; Sayar, Ahmet (World Scientific Publ Co Pte Ltd, 2022)The digitalization era has brought digital documents with it, and the classification of document images has become an important need as in classical text documents. Document images, in which text documents are stored as ... -
Multi-view Document Classification with Co-training
Sevim, Semih; Ekinci, Ekin; İlhan Omurca, Sevinç (IEEE, 2020)The purpose of the document classification is to assign the most proper label to a document. In real world data, insufficiency of labeled data is a major problem. In this study, a semi-supervised co-training algorithm, ... -
Ozon Konsantrasyonlarını Modellemek için Makine Öğrenmesi ve Derin Öğrenme Yöntemlerinin Karşılaştırılması
Ay, Şevket; Ekinci, Ekin (2022)Hava kirliliği günümüz için önemli bir problem olmakla birlikte sanayileşme, orman yangınları, egzoz gazları, kalitesiz yakıt kullanımı gibi sebepler gelecek nesilleri de tehdit edecek ciddi bir problem ile bizleri ... -
Searchable Turkish OCRed historical newspaper collection 1928–1942
Menhour, H.; Şahin, H.B.; Sarıkaya, R.N.; Aktaş, M.; Sağlam, R.; Ekinci, Ekin; Eken, S. (SAGE Publications Ltd, 2021)The newspaper emerged as a distinct cultural form in early 17th-century Europe. It is bound up with the early modern period of history. Historical newspapers are of utmost importance to nations and its people, and researchers ...