Výsledky vyhledávání - "Yucel Cimtay"

Akademický článek

A New Vegetation Index in Short-Wave Infrared Region of Electromagnetic Spectrum

Autor: Yucel Cimtay, Busra Ozbay, Gokce Nur Yilmaz, Eda Bozdemir

Publikováno v: IEEE Access, Vol 9, Pp 148535-148545 (2021)

Vegetation index algorithms based on radiance and/or reflectance data in the Visible Near Infrared (VNIR) band are created for multispectral and hyperspectral images to detect vegetation. By this way, vegetation and soil regions can be separated from

Externí odkaz: https://doaj.org/article/1ff7c31e4b964a39b75c2b5675a4aacc

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Akademický článek

Cross-Subject Multimodal Emotion Recognition Based on Hybrid Fusion

Autor: Yucel Cimtay, Erhan Ekmekcioglu, Seyma Caglar-Ozhan

Publikováno v: IEEE Access, Vol 8, Pp 168865-168878 (2020)

Multimodal emotion recognition has gained traction in affective computing research community to overcome the limitations posed by the processing a single form of data and to increase recognition robustness. In this study, a novel emotion recognition

Externí odkaz: https://doaj.org/article/28a5b17d5e7c44ba9bbcda163631ff1a

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Akademický článek

A Novel Derivative-Based Classification Method for Hyperspectral Data Processing

Autor: Yucel Cimtay, Hakki Gokhan Ilk

Publikováno v: Advances in Electrical and Electronic Engineering, Vol 15, Iss 4, Pp 657-662 (2017)

In hyperspectral classification, a derivative of reflectance spectra is used directly or by fusion with the reflectance spectra. In this way, classification performance is improved. However, on the land cover, especially for plant species, the reflec

Externí odkaz: https://doaj.org/article/9ff53993598c40d6b51df4d45f0008fd

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Akademický článek

Investigating the Use of Pretrained Convolutional Neural Network on Cross-Subject and Cross-Dataset EEG Emotion Recognition

Autor: Yucel Cimtay, Erhan Ekmekcioglu

Publikováno v: Sensors, Vol 20, Iss 7, p 2034 (2020)

The electroencephalogram (EEG) has great attraction in emotion recognition studies due to its resistance to deceptive actions of humans. This is one of the most significant advantages of brain signals in comparison to visual or speech signals in the

Externí odkaz: https://doaj.org/article/8f1521d1587b4cbf83888b3b372a14f2

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