Fastai and Convolutional Neural Network Based Land Cover Classification [PDF]
E3S Web of Conferences, 2023 The primary objective of this research is to create a Deep Learning model that can accurately classify satellite images into predefined categories.
Surana Priya +2 more
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Design of vocieprint recognition system based on CNN-LSTM neural network
Dianzi Jishu Yingyong, 2021 For warning of cardiovascular disease,in order to early detect the change of heart and lung voice representing the signs of danger,the vocieprint recognition system based on CNN-LSTM is designed.
Mu Junjie, Yao Gang, Sun Tao
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Indian Number Handwriting Features Extraction and Classification using Multi-Class SVM [PDF]
Engineering and Technology Journal, 2018 In this paper, an Indian Number Handwriting Recognition Model (INHRM) is proposed. Mainly, the proposed model consists of four phases which are the image acquisition, image preprocessing, features extraction, and classification model.
H.A. Jeiad
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Study of Structural Characteristics of Ancient Bricks With Neutron Radiography Facility at BTRR
Image Analysis and Stereology, 2021 Neutron radiography (NR) has been applied successfully to investigate different types of building materials, rock samples, sculptures, statues or monuments for since long.
Robin Barman +6 more
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Haptic Feature Extraction [PDF]
Cerebral Cortex, 2005 This study examined the process by which the shape of a haptically explored object is synthesized from the geometric characteristics of simpler constituent elements, such as arcs and ellipses. Subjects traced the outlines of virtual objects by means of whole arm movements.
John F, Soechting +2 more
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Automated Adaptive Threshold-Based Feature Extraction and Learning for Spiking Neural Networks
IEEE Access, 2021 Over the past years Spiking Neural Networks (SNNs) models became attractive as a possible bridge to enable low-power event-driven neuromorphic hardware.
Hesham H. Amin
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Wearable Electromyography Classification of Epileptic Seizures: A Feasibility Study
Bioengineering, 2023 Accurate diagnosis and classification of epileptic seizures can greatly support patient treatments. As many epileptic seizures are convulsive and have a motor component, the analysis of muscle activity can provide valuable information for seizure ...
Achraf Djemal +3 more
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Facial Age Estimation Using Machine Learning Techniques: An Overview
Big Data and Cognitive Computing, 2022 Automatic age estimation from facial images is an exciting machine learning topic that has attracted researchers’ attention over the past several years. Numerous human–computer interaction applications, such as targeted marketing, content access control,
Khaled ELKarazle +2 more
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Efficient covid19 disease diagnosis based on cough signal processing and supervised machine learning
Diagnostyka, 2022 The spread of the coronavirus has claimed the lives of millions around the world, which led to the emergence of an economic and health crisis at the global level, which prompted many researchers to submit proposals for early diagnosis of the coronavirus ...
Khaled Bensid +4 more
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Transport Model for Feature Extraction
SIAM Journal on Mathematics of Data Science, 2021 We present a new feature extraction method for complex and large datasets, based on the concept of transport operators on graphs. The proposed approach generalizes and extends the many existing data representation methodologies built upon diffusion processes, to a new domain where dynamical systems play a key role.
Wojciech Czaja +3 more
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