Automatic classification of rural building characteristics using deep learning methods on oblique photography

Building Simulation ◽

10.1007/s12273-021-0872-x ◽

2021 ◽

Author(s):

Chengyu Meng ◽

Yuwei Song ◽

Jiaqi Ji ◽

Ziyu Jia ◽

Zhengxu Zhou ◽

...

Keyword(s):

Deep Learning ◽

Automatic Classification ◽

Learning Methods ◽

Building Characteristics

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Automatic classification of eclipsing binary stars using deep learning methods

Astronomy and Computing ◽

10.1016/j.ascom.2021.100488 ◽

2021 ◽

pp. 100488

Author(s):

M. Čokina ◽

V. Maslej-Krešňáková ◽

P. Butka ◽

Š. Parimucha

Keyword(s):

Deep Learning ◽

Binary Stars ◽

Automatic Classification ◽

Learning Methods ◽

Eclipsing Binary ◽

Eclipsing Binary Stars

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Automatic Classification of Exudates in Color Fundus Images Using an Augmented Deep Learning Procedure

Proceedings of the Third International Symposium on Image Computing and Digital Medicine - ISICDM 2019 ◽

10.1145/3364836.3364843 ◽

2019 ◽

Author(s):

Lei Wang ◽

Ying Huang ◽

Bing Lin ◽

Wencan Wu ◽

Hao Chen ◽

...

Keyword(s):

Deep Learning ◽

Automatic Classification ◽

Fundus Images ◽

Learning Procedure ◽

Color Fundus Images

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Multiclass Classification of Modulation Formats in the presence of Rayleigh and Rician Channel Noise using Deep Learning Methods

2020 3rd International Conference on Information and Communications Technology (ICOIACT) ◽

10.1109/icoiact50329.2020.9332035 ◽

2020 ◽

Author(s):

Rahim Khan ◽

Yang Qiang ◽

Ahsan Bin Tufail ◽

Alam Noor

Keyword(s):

Deep Learning ◽

Multiclass Classification ◽

Channel Noise ◽

Learning Methods ◽

Modulation Formats ◽

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Exploring deep learning features for automatic classification of human emotion using EEG Rhythms

2020 International Conference on Advanced Science and Engineering (ICOASE) ◽

10.1109/icoase51841.2020.9436580 ◽

2020 ◽

Keyword(s):

Deep Learning ◽

Automatic Classification ◽

Eeg Rhythms ◽

Human Emotion ◽

Deep Learning Features

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Classification of electrocardiogram (ECG) data using deep learning methods

2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) ◽

10.1109/ismsit50672.2020.9255000 ◽

2020 ◽

Author(s):

Fatma Bozyigit ◽

Fatih Erdemir ◽

Murat Sahin ◽

Deniz Kilinc

Keyword(s):

Deep Learning ◽

Learning Methods ◽

Electrocardiogram Ecg ◽

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Classification of audio codecs with variable bit-rates using deep-learning methods

Digital Signal Processing ◽

10.1016/j.dsp.2020.102952 ◽

2020 ◽

pp. 102952

Author(s):

Atieh Khodadadi ◽

Soheila Molaei ◽

Mehdi Teimouri ◽

Hadi Zare

Keyword(s):

Deep Learning ◽

Learning Methods

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Automatic classification of EEG signals via deep learning

10.1109/indin45523.2021.9557473 ◽

2021 ◽

Author(s):

Tao Wu ◽

Xiangzeng Kong ◽

Yiwen Wang ◽

Xue Yang ◽

Jingxuan Liu ◽

...

Keyword(s):

Deep Learning ◽

Automatic Classification ◽

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Classification of Ground Targets Based on Radar Micro-Doppler Signatures Using Deep Learning and Conventional Supervised Learning Methods

Radioengineering ◽

10.13164/re.2018.0835 ◽

2018 ◽

Vol 27 (3) ◽

pp. 835-845

Author(s):

Peibei Cao ◽

Weijie Xia ◽

Yi Li

Keyword(s):

Deep Learning ◽

Supervised Learning ◽

Learning Methods

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Recognition and classification of mathematical expressions using machine learning and deep learning methods

10.1109/icrito51393.2021.9596161 ◽

2021 ◽

Author(s):

Sakshi ◽

Vinay Kukreja ◽

Sachin Ahuja

Keyword(s):

Machine Learning ◽

Deep Learning ◽

Learning Methods ◽

Mathematical Expressions

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A Deep Learning Approach for Automatic Classification of Cognitive Task Using the Scalp Electroencephalogram Signals

10.1007/978-981-16-4625-6_37 ◽

2021 ◽

pp. 385-394

Author(s):

Suchetha ◽

Madhumitha ◽

M. Sorna Meena ◽

Sruthi ◽

Radha

Keyword(s):

Deep Learning ◽

Cognitive Task ◽

Automatic Classification ◽

Learning Approach ◽

Scalp Electroencephalogram

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