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Content based image retrieval using hybrid feature extraction and HWBMMBO feature selection method
Content Based Satellite Image Retrieval system is used for images processing, weather forecasting, climate monitoring, disaster management, forest...
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Feature Importance and Selection
This chapter offers an in-depth exploration of various methods used to assess feature importance in machine learning models. Initially, it highlights...
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An optimal feature selection method for text classification through redundancy and synergy analysis
Feature selection is an essential step in text classification tasks to enhance model performance, reduce computational complexity, and mitigate the...
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A correlation analysis framework via joint sample and feature selection
Correlation Analysis is a popular technique for describing relationships between two datasets. In this paper, we proposed a correlation analysis...
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Deep learning-based hybrid sentiment analysis with feature selection using optimization algorithm
In the past few years, sentiment analysis (SA) of online content has gained more attention in the research area due to the enormous increase of...
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Dynamic Feature Selection for Structural Image Content Recognition
Structural image content recognition (SICR) aims to transcribe a two-dimensional structural image (e.g., mathematical expression, chemical formula,...
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Region Centric Multi Feature Growth Analysis Model for Efficient Plant Selection and Recommendation
Several approaches have been named in earlier articles regarding the problem of plant selection and recommendation. Unfortunately, these methods are...
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A Feature Selection Method Based on Feature-Label Correlation Information and Self-Adaptive MOPSO
Feature selection can be seen as a multi-objective task, where the goal is to select a subset of features that exhibit minimal correlation among...
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Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning
Internet of Things (IoT) devices are widely used but also vulnerable to cyberattacks that can cause security issues. To protect against this, machine...
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Machine learning-based intrusion detection: feature selection versus feature extraction
Internet of Things (IoTs) has been playing an important role in many sectors, such as smart cities, smart agriculture, smart healthcare, and smart...
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Reinforced covariance weighted mean of vectors optimizer: insight, diversity, deep analysis and feature selection
The WeIghted meaN oF vectOrs (INFO) algorithm is widely used as an efficient optimization tool due to its simple structure and superior performance....
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FEASE: Feature Selection and Enhancement Networks for Action Recognition
Reinforcement of motor features is necessary in action recognition tasks. In this work, we propose an efficient feature reinforcement model, termed...
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Feature selection and clustering based web service selection using QoSs
Web Services act as a backbone to realize the smart city concept. Web service technology is useful to offer various services as part of the smart...
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Multi-label feature selection via redundancy of the selected feature set
Due to the growing number of high-dimensional multi-label data which emerge in modern applications, multi-label feature selection becomes an...
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Bearing fault diagnosis using multiple feature selection algorithms with SVM
This paper presents an efficient approach to diagnose defects in various components of bearings in rotating machines using vibration signature...
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Exploring advanced feature selection techniques: an application to dialectal Arabic data
In the field of automated language processing, distinguishing between Moroccan Arabic (Darija) in multilingual contexts is a major challenge. This...
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On Feature Selection Algorithms for Effective Botnet Detection
The threats of botnets are becoming a growing concern infecting more and more computers every day. Although botnets can be detected from their...
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Legitimate and spam SMS classification employing novel Ensemble feature selection algorithm
The classification of Short Message Service (SMS) is a crucial task that requires distinguishing undesirable and harmful messages from legitimate...
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Comparison of feature selection methods in Kurdish text classification
The aim of this study is to investigate the impact of feature selection (FS) on the performance of classifiers for text classification (TC) in...
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Feature selection using three-stage heuristic measures based on mutual fuzzy granularities
Mutual information is fundamental for feature selection, and relevant conditional and joint mutual fuzzy granularities (MFGs) characterize feature...
