+2 MM articles scientifics and academics

37.707 Articles

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Online social network user performance prediction by graph neural networks

(1) Fail Gafarov (Kazan Federal University, Russian Federation) (2) Andrey Berdnikov (Kazan Federal University, Russian Federation) (3) Pavel Ustin (Kazan Federal University, Russian Federation)

Online social networks provide rich information that characterizes the user’s personality, his interests, hobbies, and reflects his current state. Users of social networks publish photos, posts, videos, audio, etc. every day. Online social networks (OSN) ... see more

Online social network | graph neural networks | professional performance | graph convolutional neural networks | social graph

International Journal of Advances in Intelligent Informatics , 2022

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Online social network user performance prediction by graph neural networks

(1) Fail Gafarov (Kazan Federal University, Russian Federation) (2) Andrey Berdnikov (Kazan Federal University, Russian Federation) (3) Pavel Ustin (Kazan Federal University, Russian Federation)

Online social network | graph neural networks | professional performance | graph convolutional neural networks | social graph

IJAIN (International Journal of Advances in Intelligent Informatics) , 2022

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CREATION OF A NEURAL NETWORK ALGORITHM FOR AUTOMATED COLLECTION AND ANALYSIS OF STATISTICS OF EXCHANGE QUOTES GRAPHICS

Victor Skuratov, Konstantin Kuzmin, Igor Nelin, Mikhail Sedankin

Currently, the problem of automated data analysis and statistics collection from stock quotation charts has not been fully resolved. Most of the analysis of visual data falls on the physical work of the analyst, or on obsolete software solutions. The proc... see more

automated data collection and analysis | trend | technical analysis figures | convolutional neural network | pattern detector

EUREKA: Physics and Engineering , 2011

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Convolutional Neural Network With Batch Normalization for Classification of Emotional Expressions Based on Facial Images

Bambang Krismono Triwijoyo, Ahmat Adil, Anthony Anggrawan

Emotion recognition through facial images is one of the most challenging topics in human psychological interactions with machines. Along with advances in robotics, computer graphics, and computer vision, research on facial expression recognition is an imp... see more

Convolutional Neural Network | Batch Normalization | Classification | Emotional Expressions | Facial Images

MATRIK : Jurnal Manajemen; Teknik Informatika dan Rekayasa Komputer , 2021

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Air Quality Forecasting in DKI Jakarta Using Artificial Neural Network

The increase in the use of motorized vehicles increases air pollution conditions, especially in big cities such as the capital city of Indonesia, Jakarta. The pollution that pollutes this city contains various kinds of chemical particles that are harmful ... see more

Air quality | Air Polutant | Forecasting | Neural Network

MATICS , 2022

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Crack Detection on Concrete Surfaces Using Deep Encoder-Decoder Convolutional Neural Network: A Comparison Study Between U-Net and DeepLabV3+

Patrick Nicholas Hadinata,Djoni Simanta,Liyanto Eddy,Kohei Nagai

Maintenance of infrastructures is a crucial activity to ensure safety using crack detection methods on concrete structures. However, most practice of crack detection is carried out manually, which is unsafe, highly subjective, and time-consuming. Therefor... see more

Convolutional Neural Network | U-Net | DeepLabV3+ | Crack Detection | Maintenance of Infrastructures.

Journal of the Civil Engineering Forum , 2021

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On the Use of the FuzzyARTMAP Neural Network for Pattern Recognition in Statistical Process Control using a Factorial Design

J. A. Vazquez-Lopez,I. Lopez-Juarez,M. Peña-Cabrera

Time-series statistical pattern recognition is of prime importance in statistics, especially in quality control techniques for manufacturing processes. A frequent problem in this application is the complexity when trying to determine the behaviour (patter... see more

Statistical Process Control | Control Charts | Artificial Neural Network (ANN) | FuzzyARTMAP | and Factorial Design

International Journal of Computers Communications & Control , 2010

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A Novel Classification Method using Effective Neural Network and Quantitative Magnetization Transfer Imaging of Brain White Matter in Relapsing Remitting Multiple Sclerosis

M Fooladi,H Sharini,S Masjoodi,E Khodamoradi

Background: Quantitative Magnetization Transfer Imaging (QMTI) is often used to quantify the myelin content in multiple sclerosis (MS) lesions and normal appearing brain tissues. Also, automated classifiers such as artificial neural networks (ANNs) can si... see more

Quantitative Magnetization Transfer Imaging | Relapsing Remitting Multiple Sclerosis | Artificial Neural Networks | Magnetic Resonance Imaging

Journal of Biomedical Physics and Engineering , 2018

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Artificial neural network in prediction of the outcome of critically ill patients with perforative peritonitis

Samir Delibegovic,Amir Nuhanovic

Aim. The aim of the present paper is to compare the use ofArtificial Neural Network (ANN) to APACHE II, MOF, TISS-28 and MPI scoring system in prediction of peritonitis-relateddeath in patients with perforative peritonitis. Patients andmethods. A prospect... see more

Artificial neural network | Perforative peritonitis | APACHE II | Surgical intensive care unit

Acta Medica Academica , 2008

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