Ara
Toplam kayıt 1822, listelenen: 191-200
Modeling Cortical States By Spiking Neurons
(IEEE, 2014)
Computational neuroscience has been effective in providing tools for investigation of cognitive processes along with neurode generative diseases and neurological disorders, recently. In this work, it will be shown that it ...
Vibrotactile Sensitivity of Freely Behaving Rats and Operant Conditioning by Intracortical Microstimulation
(IEEE, 2015)
In this study, 5 adult Wistar albino rats were trained to detect presence or absence of mechanical vibrations applied on the volar surface of their hindpaws. Vibrotactile sensitivity of glabrous skin of these rats were ...
A review on determination of computer aid diagnosis and/or risk factors using data mining methods in veterinary field
(Ataturk Universitesi, 2019)
Data mining is an interdisciplinary field. In this field, statistical analysis techniques and artificial intelligence algorithms are used. Thanks to the algorithms used, hidden information within the data is revealed and ...
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 ...
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 ...
Portfolio Optimization via a Surrogate Risk Measure: Conditional Desirability Value at Risk (CDVaR)
(Springer International Publishing Ag, 2019)
A risk measure that specifies minimum capital requirements is the amount of cash that must be added to a portfolio to make its risk acceptable to regulators. The 2008 financial crisis highlighted the demise of the most ...
Movie Emotion Estimation with Multimodal Fusion and Synthetic Data Generation
(IEEE, 2019)
In this work, we propose a method for automatic emotion recognition from movie clips. This problem has applications in indexing and retrieval of large movie and video collections, summarization of visual content, selection ...
Oak Leaf Classification: An Analysis of Features and Classifiers
(IEEE, 2019)
Automatic classification of trees from leaves is a popular computer vision/machine learning task and has important applications in monitoring of forest wealth. While the final aim is preparing an application, which is ...
Investigation of the mass loss of water soluble ionic compounds caused by EDXRF analysis of PM10 loaded filters
(Pergamon-Elsevier Science Ltd, 2013)
The mass loss of particulate matter (PM) due to EDXRF analysis was gravimetrically evaluated on co-located PM10 loaded filters analyzed both using EDXRF under vacuum and using Ion Chromatography. Then, this comparison was ...
Inorganic and Organic Contamination in Sediment From Izmir Bay (Turkey) and Mytilene Harbor (Greece)
(Global Network Environmental Science & Technology, 2013)
Marine sediment contamination was evaluated in a set of sediment specimens collected from Izmir Bay (Turkey) and from Mytilene Harbor (Greece) in the Aegean Sea. Eight sediment specimens from Izmir (#IZ to #IZ8) and seven ...