Data quality issues in software fault prediction: a systematic literature review
Software fault prediction (SFP) aims to improve software quality with a possible minimum
cost and time. Various machine learning models have been proposed in the past for …
cost and time. Various machine learning models have been proposed in the past for …
An improved whale optimization algorithm based on multi-population evolution for global optimization and engineering design problems
Y Shen, C Zhang, FS Gharehchopogh… - Expert Systems with …, 2023 - Elsevier
The whale optimization algorithm (WOA) tends to suffer from slow convergence speed and
quickly falling into the local optimum. In this work, a WOA variant is proposed based on multi …
quickly falling into the local optimum. In this work, a WOA variant is proposed based on multi …
[PDF][PDF] A comprehensive survey of whale optimization algorithm: modifications and classification
S Mahmood, NZ Bawany, MR Tanweer - Indonesian Journal of …, 2023 - academia.edu
Whale optimization algorithm (WOA) is an emerging nature-inspired, swarmintelligence
based algorithm to solve optimization problems more efficiently. This algorithm is based on …
based algorithm to solve optimization problems more efficiently. This algorithm is based on …
Boolean Particle Swarm Optimization with various Evolutionary Population Dynamics approaches for feature selection problems
In the feature selection process, reaching the best subset of features is considered a difficult
task. To deal with the complexity associated with this problem, a sophisticated and robust …
task. To deal with the complexity associated with this problem, a sophisticated and robust …
Adaptive fuzzy deformable fusion and optimized CNN with ensemble classification for automated brain tumor diagnosis
MYB Murthy, A Koteswararao, MS Babu - Biomedical engineering letters, 2022 - Springer
Automatic classification of brain tumor plays a vital role to speed up the treatment procedure,
plan and boost the survival rate of patients. Nowadays, Magnetic Resonance Imaging (MRI) …
plan and boost the survival rate of patients. Nowadays, Magnetic Resonance Imaging (MRI) …
Backpropagation Neural Network optimization and software defect estimation modelling using a hybrid Salp Swarm optimizer-based Simulated Annealing Algorithm
Abstract Software Defect Estimation (SDE) is a fundamental problem solving mechanism in
the field of software engineering (SE). SDE is a task that identifies software models that are …
the field of software engineering (SE). SDE is a task that identifies software models that are …
Addressing feature selection and extreme learning machine tuning by diversity-oriented social network search: an application for phishing websites detection
Feature selection and hyper-parameters optimization (tuning) are two of the most important
and challenging tasks in machine learning. To achieve satisfying performance, every …
and challenging tasks in machine learning. To achieve satisfying performance, every …
The applications of metaheuristics for human activity recognition and fall detection using wearable sensors: A comprehensive analysis
In this paper, we study the applications of metaheuristics (MH) optimization algorithms in
human activity recognition (HAR) and fall detection based on sensor data. It is known that …
human activity recognition (HAR) and fall detection based on sensor data. It is known that …
Machine learning tuning by diversity oriented firefly metaheuristics for industry 4.0
Abstract The progress of Industrial Revolution 4.0 has been supported by recent advances
in several domains, and one of the main contributors is the Internet of Things. Smart factories …
in several domains, and one of the main contributors is the Internet of Things. Smart factories …
An efficient hybrid mine blast algorithm for tackling software fault prediction problem
An inherent problem in software engineering is that competing prediction systems have
been found to produce conflicting results. Yet accurate prediction is crucial because the …
been found to produce conflicting results. Yet accurate prediction is crucial because the …