Bölüm "Fakülteler, Çorlu Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü" Scopus İndeksli Yayınlar Koleksiyonu için listeleme
Toplam kayıt 85, listelenen: 21-40
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Efficient and effective strategies for cross-corpus acoustic emotion recognition
(Elsevier, 2018)An important research direction in speech technology is robust cross-corpus and cross-language emotion recognition. In this paper, we propose computationally efficient and performance effective feature normalization ... -
An efficient and fast computer-aided method for fully automated diagnosis of meniscal tears from magnetic resonance images
(Elsevier, 2019)Menisci are structures that directly affect movement, so early detection of meniscus tears also helps to prevent progressive knee disorders such as osteoarthritis. Manual segmentation of the menisci and diagnosis of the ... -
An efficient regular expression inference approach for relevant image extraction
(Elsevier Ltd, 2023)Traditional approaches for extracting relevant images automatically from web pages are error-prone and time-consuming. To improve this task, operations such as preparing a larger dataset and finding new features are used ... -
Emotion, age, and gender classification in children's speech by humans and machines
(Academic Press Ltd- Elsevier Science Ltd, 2017)In this article, we present the first child emotional speech corpus in Russian, called EmoChildRu, collected from 3 to 7 years old children. The base corpus includes over 20 K recordings (approx. 30 h), collected from 120 ... -
Estimation of the proteomic cancer co-expression sub networks by using association estimators
(Public Library Science, 2017)In this study, the association estimators, which have significant influences on the gene network inference methods and used for determining the molecular interactions, were examined within the co-expression network inference ... -
Examining the Impact of Feature Selection on Classification of User Reviews in Web Pages
(IEEE, 2018)The user reviews in web pages can provide useful information about the content of the web page for text processing applications. Automatically extracting data from a web page is a crucial process for these applications. ... -
Faculty of Engineering Students' Success Analysis with Clustering Methods
(IEEE, 2013)In this study, data clustering analysis for the student of faculty of engineering carried out. Cluster analysis, using the different characteristics or similar properties of objects in the data set, aims at creating in the ... -
Fixing distortions on images
(Institute of Electrical and Electronics Engineers Inc., 2020)People have long desired editing the defects on images and, removing or altering the corrupt regions of image data in a way that would not be detected by the neutral observer unaware of the original copy. Utilizing computers ... -
Forecasting fully vaccinated people against COVID-19 and examining future vaccination rate for herd immunity in the US, Asia, Europe, Africa, South America, and the World
(Elsevier Ltd, 2021)Coronavirus disease 2019 (COVID-2019) has spread rapidly all over the world and it is known that the most effective way to eliminate the disease is vaccination. Although the traditional vaccine development process is quite ... -
Fusing Acoustic Feature Representations for Computational Paralinguistics Tasks
(Isca-Int Speech Communication Assoc, 2016)The field of Computational Paralinguistics is rapidly growing and is of interest in various application domains ranging from biomedical engineering to forensics. The INTERSPEECH ComParE challenge series has a field-leading ... -
A fuzzy ranking approach for improving search results in Turkish as an agglutinative language
(Pergamon-Elsevier Science Ltd, 2012)This study proposes a fuzzy ranking approach, designed for Turkish as an agglutinative language, that focuses on improving stemming techniques via using distances of characters in its search algorithm. Various studies ... -
Fuzzy Rule-Based System for Predicting Daily Case in COVID-19 Outbreak
(Institute of Electrical and Electronics Engineers Inc., 2020)The Covid-19 outbreak appeared in Wuhan in December 2019 and spread rapidly all over the world. The Covid-19 disease does not yet have a clinically proven vaccine and drug for treatment. The most important physical factors ... -
Gender Determination from Pictures with CNN Models
(Institute of Electrical and Electronics Engineers Inc., 2021)Today, it is desired to make various inferences from images quickly with artificial intelligence methods. One of the most important reasons for this is the increase in social media environments. On the other hand, it is ... -
Hierarchical Two-Level Modelling of Emotional States in Spoken Dialog Systems
(IEEE, 2019)Emotions occur in complex social interactions, and thus processing of isolated utterances may not be sufficient to grasp the nature of underlying emotional states. Dialog speech provides useful information about context ... -
A hybrid approach for extracting informative content from web pages
(Elsevier Sci Ltd, 2013)Eliminating noisy information and extracting informative content have become important issues for web mining, search and accessibility. This extraction process can employ automatic techniques and hand-crafted rules. Automatic ... -
Impact of the COVID-19 lockdowns on electricity and natural gas consumption in the different industrial zones and forecasting consumption amounts: Turkey case study
(Elsevier Ltd, 2022)The COVID-19 lockdowns have adversely affected the national economies and caused fluctuations in the energy industry. This study examined how the lockdowns during the COVID-19 pandemic affected the amount of electricity ... -
Infrastructure of a Wireless Local Area Network: T.Ü. Mehmet Akif Ersoy lecture center
(Fac Teacher Education, 2012)Wireless Local Area Networks (WLAN), is a network structure which is used primarily for establishing connections between servers, printers and other endpoint devices found within smaller scale areas, such as a building or ... -
Introducing Weighted Kernel Classifiers for Handling Imbalanced Paralinguistic Corpora: Snoring, Addressee and Cold
(Isca-Int Speech Communication Assoc, 2017)The field of paralinguistics is growing rapidly with a wide range of applications that go beyond recognition of emotions, laughter and personality. The research flourishes in multiple directions such as signal representation ... -
Investigation of Association Estimators in Network Inference Algorithms on Breast Cancer Proteomic Data
(IEEE, 2017)In this study, association estimators applied in the network inference methods used to determine disease-related molecular interactions using breast cancer, which is the most common type of cancer in women, proteomic data ... -
Investigation of stochastic pairs trading strategies under different volatility regimes
(2010)We investigate several market-neutral trading strategies and find empirical evidence that market-neutral equity trading outperforms in 2008, the first full year of the global financial meltdown. In our experiments we use ...