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Feature reduction of unbalanced data classification based on density clustering
With the development of big data, the problem of imbalanced data sets is becoming more and more serious. When dealing with high-dimensional...
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Adaptive dynamic elite opposition-based Ali Baba and the forty thieves algorithm for high-dimensional feature selection
High-dimensional Feature Selection Problems (HFSPs) have grown in popularity but remain challenging. When faced with such complex situations, the...
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Application of machine learning algorithm on migration error for the identification of selective letter position impairment in children
This work presents effective prediction of Letter Position impairments on a sample dataset of 230 children. These students are in primary school...
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A reliable and efficient machine learning pipeline for american sign language gesture recognition using EMG sensors
Sign languages has extensive applications among differently-abled to communicate with their surroundings. With the development of different sensing...
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A Hybrid Multi-objective Optimization Algorithm with Improved Neighborhood Rough Sets for Feature Selection
Feature selection is an effective method for dimensionality reduction in machine learning and data mining. However, it is challenging to select the...
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Design of distributed network intrusion prevention system based on Spark and P2DR models
The commonly used method for network intrusion is based on pattern matching systems, but these systems do not have high detection accuracy when...
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Addressing Missing Data in a Healthcare Dataset Using an Improved kNN Algorithm
Missing values are ubiquitous in many real-world datasets. In scenarios where a dataset is not very large, addressing its missing values by utilizing...
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Enhanced classification loss functions and regularization loss function (ECLFaRLF) algorithm for bowel cancer feature classification
Bowel cancer is one of the most common cancers as stated in the bowel cancer cases statistics. The proposed technique is to recognize the pattern of...
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A feature selection model for speech emotion recognition using clustering-based population generation with hybrid of equilibrium optimizer and atom search optimization algorithm
Speech plays an important role among the human communication and also a dominant source of medium for human computer interaction (HCI) to exchange...
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Gene selection in a single cell gene decision space based on class-consistent technology and fuzzy rough iterative computation model
This study explores gene selection in a single cell gene decision space ( scgd -space) based on class-consistent technology and fuzzy rough iterative...
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Intrusion Detection Using Dynamic Feature Selection: An Adaptive Bacterial Foraging Method
The continuous area of cyberattacks demands more responsive defenses than classic, static intrusion detection systems (IDS) can provide. This...
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Feature selection with multi-objective genetic algorithm based on a hybrid filter and the symmetrical complementary coefficient
With the expansion of data size and data dimension, feature selection attracts more and more attention. In this paper, we propose a novel feature...
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Network Intrusion Detection Method Based on Optimized Multiclass Support Vector Machine
With the popularization of network applications and the great changes in the international political, economic and military situations, network...
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A wrapper method based on a modified two-step league championship algorithm for detecting botnets in IoT environments
Today, the Internet of Things (IoT) is extending due to a wide range of applications and services. The variety of devices connected to the internet,...
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Selective ensemble of doubly weighted fuzzy extreme learning machine for tumor classification
Malignant epithelial cell tumor also known as cancer is a deadly disease requiring a very costly and complex treatment. Early and accurate diagnosis...
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Power System Transient Stability Prediction Algorithm Based on ReliefF and LSTM
The stability of the power system has great significance to the national economy, and the sudden situation of the power system will bring great...
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A hybrid feature selection model based on improved squirrel search algorithm and rank aggregation using fuzzy techniques for biomedical data classification
Feature selection has gained its importance due to the voluminous nature of the data. Owing to the computational complexity of wrapper approaches,...
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Feature ranking based consensus clustering for feature subset selection
Feature subset selection problem is an NP hard problem and there is a need for computationally efficient algorithms that find near optimal feature...
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Bio-Inspired ensemble feature selection and deep auto-encoder approach for rapid diagnosis of breast cancer
In the modern era, breast cancer (BC) is one of the most prevalent diseases affecting the lifespan of women. Single nucleotide polymorphism (SNP)...
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Hybrid deep neural network with adaptive rain optimizer algorithm for multi-grade brain tumor classification of MRI images
Classification of brain tumor is highly significant in the medical field in real-world to improve the progress of treatments. The seriousness behind...
