Bölüm "Fakülteler, Çorlu Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü" için listeleme
Toplam kayıt 113, listelenen: 41-60
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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 ... -
Kablosuz Ağlar İçin Bir DoS Saldırısı Tasarımı
(2013)Kablosuz ağların gelişimi ve kullanımlarının artışı ile bu ağların güvenliğinin sağlanması hususu ön plana çıkmıştır. Kablolu ağlarda bu güne dek kullanılagelmiş olan çeşitli saldırı tipleri, aynı şekilde kablosuz ağlarda ... -
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 ... -
Makro Ekonomik Verilerin, Altın, Petrol Ve Çapraz Kur Fiyatlarının Ve Diğer Bazı Ülke Borsa Endeks Verilerinin, İstanbul Menkul Kıymetler Borsa Endeksi Üzerine Etkisinin Incelenmesine Yönelik Bir Yapay Sinir Ağı Modeli Oluşturma
(Namık Kemal Üniversitesi, 2016)Bu çalışmada, İMKB 100 endeksi hareket yönünü, seanslık, günlük, haftalık ve aylık bazda, beş yıllık veri kullanarak, tahmin etmeye çalışan dört tahmin modeli geliştirilmiştir. Bu tahmin modellerinde, sınıflandırıcı olarak ... -
Meniscus segmentation and tear detection in the knee MR images by fuzzy c-means method
(Institute of Electrical and Electronics Engineers Inc., 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 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 ...