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Toplam kayıt 110, listelenen: 11-20
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 ...
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 ...
Modeling of atmospheric particulate matters via artificial intelligence methods
(Springer, 2021)
Nowadays, pollutants continue to be released into the atmosphere in increasing amounts with each passing day. Some of them may turn into more harmful forms by accumulating in different layers of the atmosphere at different ...
Video-based emotion recognition in the wild using deep transfer learning and score fusion
(Elsevier, 2017)
Multimodal recognition of affective states is a difficult problem, unless the recording conditions are carefully controlled. For recognition in the wild, large variances in face pose and illumination, cluttered backgrounds, ...
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 ...
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 ...
Multi-modal Score Fusion and Decision Trees for Explainable Automatic Job Candidate Screening from Video CVs
(IEEE, 2017)
We describe an end-to-end system for explainable automatic job candidate screening from video CVs. In this application, audio, face and scene features are first computed from an input video CV, using rich feature sets. ...
The Turkish Audio-Visual Bipolar Disorder Corpus
(IEEE, 2018)
This paper introduces a new audio-visual Bipolar Disorder (BD) corpus for the affective computing and psychiatric communities. The corpus is annotated for BD state, as well as Young Mania Rating Scale (YMRS) by psychiatrists. ...