Results 21 to 30 of about 735,517 (309)
Advances in Electrical and Electronic Engineering, 2012 The paper deals with a classification of emotional state. We implemented a method for extracting the fundamental speech signal frequency by means of a central clipping and examined a correlation between emotional state and fundamental speech frequency ...
Pavol Partila +3 more
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A Novel Deep-Learning-Based Framework for the Classification of Cardiac Arrhythmia
Journal of Imaging, 2022 Cardiovascular diseases (CVDs) are the primary cause of death. Every year, many people die due to heart attacks. The electrocardiogram (ECG) signal plays a vital role in diagnosing CVDs. ECG signals provide us with information about the heartbeat.
Sonain Jamil, MuhibUr Rahman
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Ship Identification on Satellite Image Using Convolutional Neural Network and Random Forest
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2019 Ship identification on satellite imagery can be used for fisheries management, monitoring of smuggling activities, ship traffic services, and naval warfare.
Endang Anggiratih, Agfianto Eko Putra
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Personal Authentication Based on Curvelet Transform of Palm Print Moments
Tikrit Journal of Pure Science, 2022 Image transformation provide deep meaning about images feature, so many type of image transformation are appear in the last decade years, one of them is curvelet transformation which improve the image processing techniques specially in field of feature ...
Khaleda Basheer, Khalil Ibrahim Alsaif
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Journal of Robotics and Mechatronics, 1997 We take various information from the outside world into our brain by moving our eyes in every direction and sounds EEG contain basic rhythms of the brain, such as alpha waves, and components, such as myoelectric potentials. The results of the simulation indicated that the use of multiple windows would raise the accuracy in the detection of time delays ...
Ichiro Hamamoto +3 more
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Risks, 2017 In this study we develop a multi-factor extension of the family of Lee-Carter stochastic mortality models. We build upon the time, period and cohort stochastic model structure to extend it to include exogenous observable demographic features that can be ...
Dorota Toczydlowska +3 more
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Offline Signature Recognition and Verification Based on Artifical Neural Network [PDF]
Engineering and Technology Journal, 2009 In this paper, a problem for Offline Signature Recognition and Verification is presented. Asystem is designed based on two neural networks classifier and three powerful features (global,texture and grid features).
Mohammed A. Abdala, Noor Ayad Yousif
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Transformer Oil Quality Assessment Using Random Forest with Feature Engineering
Energies, 2021 Machine learning is widely used as a panacea in many engineering applications including the condition assessment of power transformers. Most statistics attribute the main cause of transformer failure to insulation degradation.
Mohammed El Amine Senoussaoui +2 more
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Multi-Level Features Extraction for Discontinuous Target Tracking in Remote Sensing Image Monitoring. [PDF]
Sensors (Basel), 2019 Many techniques have been developed for computer vision in the past years. Features extraction and matching are the basis of many high-level applications.
Zhou B +6 more
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Image Representation Using Stacked Colour Histogram
Algorithms, 2021 Image representation plays a vital role in the realisation of Content-Based Image Retrieval (CBIR) system. The representation is performed because pixel-by-pixel matching for image retrieval is impracticable as a result of the rigid nature of such an ...
Ezekiel Mensah Martey +3 more
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