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Comprehensive systematic review of intelligent approaches in UAV-based intrusion detection, blockchain, and network security
AB Mohammed, LC Fourati, AM Fakhrudeen - Computer Networks, 2024 - Elsevier
Abstract Unmanned Aerial Vehicles (UAVs) have evolved into a pivotal component of
electronic devices deployed across a diverse array of sectors and industries in recent years …
electronic devices deployed across a diverse array of sectors and industries in recent years …
Ensemble machine learning paradigms in software defect prediction
Predicting faults in software aims to detect defects before the testing phase, allowing for
better resource allocation and high-quality software development, which is a requisite for …
better resource allocation and high-quality software development, which is a requisite for …
Multi-strategy augmented Harris Hawks optimization for feature selection
Z Zhao, H Yu, H Guo, H Chen - Journal of Computational Design …, 2024 - academic.oup.com
In the context of increasing data scale, contemporary optimization algorithms struggle with
cost and complexity in addressing the feature selection (FS) problem. This paper introduces …
cost and complexity in addressing the feature selection (FS) problem. This paper introduces …
[HTML][HTML] Software defect prediction using wrapper feature selection based on dynamic re-ranking strategy
AO Balogun, S Basri, LF Capretz, S Mahamad… - Symmetry, 2021 - mdpi.com
Finding defects early in a software system is a crucial task, as it creates adequate time for
fixing such defects using available resources. Strategies such as symmetric testing have …
fixing such defects using available resources. Strategies such as symmetric testing have …
An empirical study on data sampling methods in addressing class imbalance problem in software defect prediction
BJ Odejide, AO Bajeh, AO Balogun… - Computer Science On …, 2022 - Springer
With the growing rate of software systems and their applications in diverse walks of life,
develo** a software system that has no defects is a subject that cannot be …
develo** a software system that has no defects is a subject that cannot be …
Prior knowledge evaluation and emphasis sampling-based evolutionary algorithm for high-dimensional medical data feature selection
Handling high-dimensional medical data presents a significant challenge. Numerous
irrelevant and redundant features impede the construction of high-precision models …
irrelevant and redundant features impede the construction of high-precision models …
A importance-based ensemble method using an adaptive threshold searching for feature selection
Y Zhuang, Z Fan, J Gou, Y Huang, W Feng - Expert Systems with …, 2025 - Elsevier
Current single feature selection algorithms have certain limitations when it comes to
effectively addressing challenges presented by various tasks and data contexts. As a result …
effectively addressing challenges presented by various tasks and data contexts. As a result …
[HTML][HTML] Feature optimization method of material identification for loose particles inside sealed relays
Z Sun, A Jiang, G Wang, M Zhang, H Yan - Sensors, 2022 - mdpi.com
Existing material identification for loose particles inside sealed relays focuses on the
selection and optimization of classification algorithms, which ignores the features in the …
selection and optimization of classification algorithms, which ignores the features in the …
A Novel Rank Aggregation‐Based Hybrid Multifilter Wrapper Feature Selection Method in Software Defect Prediction
AO Balogun, S Basri, S Mahamad… - Computational …, 2021 - Wiley Online Library
The high dimensionality of software metric features has long been noted as a data quality
problem that affects the performance of software defect prediction (SDP) models. This …
problem that affects the performance of software defect prediction (SDP) models. This …
Hybrid feature selection method for predicting software defect
AJ Anju, JE Judith - Journal of Engineering and Applied Science, 2024 - Springer
To address the challenges associated with the abundance of features in software datasets,
this study proposes a novel hybrid feature selection method that combines quantum particle …
this study proposes a novel hybrid feature selection method that combines quantum particle …