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Advanced Search Results For "FEATURE selection"

1 - 10 of 23,275 results for
 "FEATURE selection"
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Feature Subset Selection with Artificial Intelligence-Based Classification Model for Biomedical Data.

Publication Type:Academic Journal

Source(s):Computers, Materials & Continua. 2022, Vol. 72 Issue 3, p4267-4281. 15p.

Abstract:Recently, medical data classification becomes a hot research topic among healthcare professionals and research communities, which assist in the disease diagnosis and decision making process. The latest developments of artificial intelligence (AI) appro...

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Evaluation of the Efficacy of Artificial Neural Network-Based Music Therapy for Depression.

Publication Type:Academic Journal

Source(s):Computational Intelligence & Neuroscience. 8/21/2022, p1-6. 6p.

Abstract:In order to evaluate the therapeutic effect of music therapy on patients with depression, this paper proposes a CNN-based noise detection method with the combination of HHT and FastICA for noise removal, with good data support from the DBN model. DBN-b...

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A Fused Multidimensional EEG Classification Method Based on an Extreme Tree Feature Selection.

Publication Type:Academic Journal

Source(s):Computational Intelligence & Neuroscience. 8/8/2022, p1-10. 10p.

Abstract:When a brain-computer interface (BCI) is designed, high classification accuracy is difficult to obtain for motor imagery (MI) electroencephalogram (EEG) signals in view of their relatively low signal-to-noise ratio. In this paper, a fused multidimensio...

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Improved Harmony Search with Optimal Deep Learning Enabled Classification Model.

Publication Type:Academic Journal

Source(s):Computers, Materials & Continua. 2022, Vol. 73 Issue 1, p1783-1797. 15p.

Abstract:Due to drastic increase in the generation of data, it is tedious to examine and derive high level knowledge from the data. The rising trends of high dimension data gathering and problem representation necessitates feature selection process in several m...

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Comprehensive DDoS Attack Classification Using Machine Learning Algorithms.

Publication Type:Academic Journal

Source(s):Computers, Materials & Continua. 2022, Vol. 73 Issue 1, p577-594. 18p.

Abstract:The fast development of Internet technologies ignited the growth of techniques for information security that protect data, networks, systems, and applications from various threats. There are many types of threats. The dedicated denial of service attack...

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Bio-inspired Hybrid Feature Selection Model for Intrusion Detection.

Publication Type:Academic Journal

Source(s):Computers, Materials & Continua. 2022, Vol. 73 Issue 1, p133-150. 18p.

Abstract:Intrusion detection is a serious and complex problem. Undoubtedly due to a large number of attacks around the world, the concept of intrusion detection has become very important. This research proposes amultilayer bioinspired feature selection model fo...

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A Diagnostic Model of Breast Cancer Based on Digital Mammogram Images Using Machine Learning Techniques.

Publication Type:Academic Journal

Source(s):Applied Computational Intelligence & Soft Computing. 9/20/2022, p1-17. 17p.

Abstract:Breast cancer disease is one of the most recorded cancers that lead to morbidity and maybe death among women around the world. Recent research statistics have exposed that one from 8 females in the USA and one from 10 females in Europe are contaminated...

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A SYN Flood Attack Detection Method Based on Hierarchical Multihead Self-Attention Mechanism.

Publication Type:Academic Journal

Source(s):Security & Communication Networks. 9/14/2022, p1-13. 13p.

Abstract:Existing SYN flood attack detection methods have obvious problems such as poor feature selectivity, weak generalization ability, easy overfitting, and low accuracy during training. In the paper, we present a SYN flood attack detection method based on t...

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Ensemble Feature Selection in Binary Machine Learning Classification: A Novel Application of the Evaluation Based on Distance from Average Solution (EDAS) Method.

Publication Type:Academic Journal

Source(s):Mathematical Problems in Engineering. 9/5/2022, p1-13. 13p.

Abstract:Combining filters in an ensemble to improve feature selection performance is a growing field in the literature. Current techniques, however, are focused on approaches that suffer from drawbacks such as sensitivity to skewed distribution, among others. ...

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A Framework on Performance Analysis of Mathematical Model-Based Classifiers in Detection of Epileptic Seizure from EEG Signals with Efficient Feature Selection.

Publication Type:Academic Journal

Source(s):Journal of Healthcare Engineering. 9/6/2022, p1-12. 12p.

Abstract:Epilepsy is one of the neurological conditions that are diagnosed in the vast majority of patients. Electroencephalography (EEG) readings are the primary tool that is used in the process of diagnosing and analyzing epilepsy. The epileptic EEG data disp...

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