[HTML][HTML] An Intelligent Approach to Determine Component Volume Percentages in a Symmetrical Homogeneous Three-Phase Fluid in Scaled Pipe Conditions

AM Mayet, SM Alizadeh, VPT Ijyas… - Symmetry, 2023 - mdpi.com
Over time, the accumulation of scale within the transmission pipeline results in a decrease in
the internal diameter of the pipe, leading to a decline in efficiency and energy waste. The …

[HTML][HTML] Using Ant Colony Optimization as a Method for Selecting Features to Improve the Accuracy of Measuring the Thickness of Scale in an Intelligent Control …

AM Mayet, VPT Ijyas, JK Bhutto, JWG Guerrero… - Processes, 2023 - mdpi.com
The scaling of oil pipelines over time leads to issues including diminished flow rates, wasted
energy, and decreased efficiency. To take appropriate action promptly and avoid the …

[HTML][HTML] FEDRak: Federated Learning-Based Symmetric Code Statement Ranking Model for Software Fault Forecasting

A Alhumam - Symmetry, 2023 - mdpi.com
Software Fault Forecasting (SFF) pertains to timely identifying sections in software projects
that are prone to faults and may result in significant development expenses. Deep learning …

A Classification Framework to Detect Sars Covid-19 Disease Using Feature Selection and Variant-Based Ensemble Learning

A Akhtar - International Journal of Computational and Innovative …, 2023 - ijcis.com
The hazardous COVID-19 pandemic has caused millions of deaths worldwide which depicts
the significance of an early screening of this infection in order to stop it from spreading. Real …

A training sample selection method for predicting software defects

C Jin - Applied Intelligence, 2023 - Springer
Abstract Software Defect Prediction (SDP) is an important method to analyze software
quality and reduce development cost. Data from software life cycle has been widely used to …

A Systematic Approach for Enhancing Software Defect Prediction Using Machine Learning

SM Rifat, AU Bhuyain, MS Hossain… - … Conference on Next …, 2023 - ieeexplore.ieee.org
In the modern world of software development, ensuring reliability and performance is of
paramount importance. However, despite the best efforts from the developers, software …

结合特征对齐与实例迁移的跨项目缺陷预测.

李莉, 赵鑫, 石可欣, 苏仁嘉… - Application Research of …, 2023 - search.ebscohost.com
为解决跨项目缺陷预测中源项目和目标项目分布差异较大的问题, 提出了一种基于特征对齐和
实例迁移的两阶段缺陷预测方法(FAIT). 首先, 在特征对齐阶段, 根据边缘概率分布进行特征的 …

[PDF][PDF] Compiler IR-Based Program Encoding Method for Software Defect Prediction.

Y Chen, C Xu, JS He, S Xiao… - Computers, Materials & …, 2022 - cdn.techscience.cn
With the continuous expansion of software applications, people's requirements for software
quality are increasing. Software defect prediction is an important technology to improve …

DDG-Based Optimization Metrics for Defect Prediction

Y Chen, C Xu, JS He, S Xiao, F Shen - International Conference on …, 2022 - Springer
Software defect prediction helps improve software quality and allocate software test
resources reasonably. Many defect prediction models based on software metrics have been …

Machine Learning and Deep Learning Techniques to Predict Software Defects: A Bibliometric Analysis, Systematic Review, Challenges and Future Works

A Daza Vergaray, OG Apaza Pérez… - … Challenges and Future … - papers.ssrn.com
Abstract In Australia, approximately 66.00% of projects exceeded the programmed budget
and 33% were out of time, all of them due to software failures. The purpose of this study is to …