Bölüm "Fakülteler, Çorlu Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü" WoS İndeksli Yayınlar Koleksiyonu için listeleme
Toplam kayıt 71, listelenen: 21-40
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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 ... -
Feature Selection and Multimodal Fusion for Estimating Emotions Evoked by Movie Clips
(Assoc Computing Machinery, 2018)Perceptual understanding of media content has many applications, including content-based retrieval, marketing, content optimization, psychological assessment, and affect-based learning. In this paper, we model audio visual ... -
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 ... -
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 ... -
Kernel ELM and CNN based Facial Age Estimation
(IEEE, 2016)e propose a two-level system for apparent age estimation from facial images. Our system first classifies samples into overlapping age groups. Within each group, the apparent age is estimated with local regressors, whose ... -
Knee Meniscus Segmentation and Tear Detection from MRI: A Review
(Bentham Science Publ Ltd, 2020)Background: Automatic diagnostic systems in medical imaging provide useful information to support radiologists and other relevant experts. The systems that help radiologists in their analysis and diagnosis appear to be ... -
LSTM based Cross-corpus and Cross-task Acoustic Emotion Recognition
(Isca-Int Speech Communication Assoc, 2018)Acoustic emotion recognition is a popular and central research direction in paralinguistic analysis, due its relation to a wide range of affective states/traits and manifold applications. Developing highly generalizable ... -
The machine learning approach for predicting the number of intensive care, intubated patients and death: The COVID-19 pandemic in Turkey
(Yildiz Technical Univ, 2022)The coronavirus infection outbreak started in Wuhan city, China, in December 2019 (COVID-19) and affected more than 200 countries in a year. The number of patients dying from and infected with COVID-19 is increasing at an ... -
Meniscus Segmentation and Tear Detection in the Knee MR Images by Fuzzy c-Means Method
(IEEE, 2017)Computer-assisted diagnosis (CAD) studies on medical images have gained momentum recently. The studies in this area facilitates the work of medical specialists and reduces the time cost. In this study, meniscus segmentation ... -
Meniscus Tear Classification Using Histogram of Oriented Gradients in Knee MR Images
(IEEE, 2018)Automatic segmentation and classification studies in medical images have been intensely studied in recent years. The results obtained will support the decisions of medical experts. In this study, features were obtained by ... -
A model for predicting drying time period of wool yarn bobbins using computational intelligence techniques
(Sage Publications Ltd, 2015)In this study, a predictive model has been developed using computational intelligence techniques for the prediction of drying time in the wool yarn bobbin drying process. The bobbin drying process is influenced by various ...