Articles with "hybrid features" as a keyword



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Breast cancer classification in pathological images based on hybrid features

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Published in 2019 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-019-7468-9

Abstract: Breast cancer has become an important factor affecting human health. Diagnosis based on pathological images is considered the gold standard in the clinic. In this paper, an automatic breast cancer detection method based on hybrid… read more here.

Keywords: classification; breast cancer; based hybrid; hybrid features ... See more keywords
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An empirical study to estimate the stability of random forest classifier on the hybrid features recommended by filter based feature selection technique

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Published in 2020 at "International Journal of Machine Learning and Cybernetics"

DOI: 10.1007/s13042-019-00978-7

Abstract: The emergence of advanced malware is a serious threat to information security. A prominent technique that identifies sophisticated malware should consider the runtime behaviour of the source file to detect malicious intent. Although the behaviour-based… read more here.

Keywords: hybrid features; filter based; feature selection; based feature ... See more keywords

Performance of a language identification system using hybrid features and ANN learning algorithms

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Published in 2021 at "Applied Acoustics"

DOI: 10.1016/j.apacoust.2020.107815

Abstract: Abstract This paper discusses the use of hybrid features and artificial neural network (ANN) for spoken language identification (LID). At the feature extraction stage, we have used RASTA-PLP features and later hybrid features by combining… read more here.

Keywords: hybrid features; language; plp features; rasta plp ... See more keywords
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Three-dimensional protein shape similarity analysis based on hybrid features.

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Published in 2018 at "Gene"

DOI: 10.1016/j.gene.2018.04.049

Abstract: The analysis of protein similarity is a matter of concern in the bioinformatics field, since studying the protein similarity can help understand the protein structure-function relationship. To this aim, several methods have been proposed, but… read more here.

Keywords: protein; similarity; similarity analysis; based hybrid ... See more keywords
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Automated breast cancer detection by reconstruction independent component analysis (RICA) based hybrid features using machine learning paradigms

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Published in 2022 at "Connection Science"

DOI: 10.1080/09540091.2022.2151566

Abstract: ABSTRACT Breast cancer (BC) masses and microcalcification are nonlinear with complex dynamics due to which radiologists fail to properly diagnose breast cancer. In this paper, we used a hybrid features extracting approach based on texture,… read more here.

Keywords: breast; breast cancer; detection; features using ... See more keywords

Hybrid_DBP: Prediction of DNA-binding proteins using hybrid features and convolutional neural networks

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Published in 2022 at "Frontiers in Pharmacology"

DOI: 10.3389/fphar.2022.1031759

Abstract: DNA-binding proteins (DBP) play an essential role in the genetics and evolution of organisms. A particular DNA sequence could provide underlying therapeutic benefits for hereditary diseases and cancers. Studying these proteins can timely and effectively… read more here.

Keywords: dna; hybrid dbp; using hybrid; dna binding ... See more keywords
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Speech Emotion Recognition through Hybrid Features and Convolutional Neural Network

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Published in 2023 at "Applied Sciences"

DOI: 10.3390/app13084750

Abstract: Speech emotion recognition (SER) is the process of predicting human emotions from audio signals using artificial intelligence (AI) techniques. SER technologies have a wide range of applications in areas such as psychology, medicine, education, and… read more here.

Keywords: neural network; emotion; convolutional neural; hybrid features ... See more keywords
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Multi-Techniques for Analyzing X-ray Images for Early Detection and Differentiation of Pneumonia and Tuberculosis Based on Hybrid Features

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Published in 2023 at "Diagnostics"

DOI: 10.3390/diagnostics13040814

Abstract: An infectious disease called tuberculosis (TB) exhibits pneumonia-like symptoms and traits. One of the most important methods for identifying and diagnosing pneumonia and tuberculosis is X-ray imaging. However, early discrimination is difficult for radiologists and… read more here.

Keywords: differentiation pneumonia; tuberculosis; pneumonia tuberculosis; ray ... See more keywords
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Arrhythmia Detection Based on Hybrid Features of T-Wave in Electrocardiogram

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Published in 2018 at "International Journal of Intelligent Engineering and Systems"

DOI: 10.4018/978-1-7998-1192-3.ch001

Abstract: An electrocardiogram (ECG) is used as one of the important diagnostic tools for the detection of the health of a heart. An automatic heart abnormality identification methods sense numerous abnormalities or arrhythmia and decrease the… read more here.

Keywords: classification; arrhythmia detection; hybrid features; features wave ... See more keywords