Ara
Toplam kayıt 13, listelenen: 1-10
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 ...
Video-based emotion recognition in the wild
(Academic Press Ltd-Elsevier Science Ltd, 2019)
[No Abstract Available]
Yenidoğan kuzularda bilgisayar destekli tanı
(Pamukkale Univ, 2020)
In our country, the number of small ruminant animals is decreasing day by day due to various reasons. In parallel with the decrease in the number of small ruminants, significant decreases are seen in animal production. One ...
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 ...
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 ...
AVEC 2018 Workshop and Challenge: Bipolar Disorder and Cross-Cultural Affect Recognition
(Assoc Computing Machinery, 2018)
The Audio/Visual Emotion Challenge and Workshop (AVEC 2018) Bipolar disorder, and cross-cultural affect recognition is the eighth competition event aimed at the comparison of multimedia processing and machine learning ...
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 ...
A new computer-based approach for fully automated segmentation of knee meniscus from magnetic resonance images
(Elsevier, 2017)
Menisci are tissues that enable mobility and absorb excess loads on the knee. Problems in meniscus can trigger the disorder of osteoarthritis (OA). OA is one of the most common causes of disability, especially among young ...
The Analysis of Firewall Policy Through Machine Learning and Data Mining
(Springer, 2017)
Firewalls are primary components for ensuring the network and information security. For this purpose, they are deployed in all commercial, governmental and military networks as well as other large-scale networks. The ...
An effective and efficient web content extractor for optimizing the crawling process
(John Wiley and Sons Ltd, 2014)
Classical Web crawlers make use of only hyperlink information in the crawling process. However, focused crawlers are intended to download only Web pages that are relevant to a given topic by utilizing word information ...