Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble learning
Abstract Software Fault Prediction (SFP) is an important process to detect the faulty
components of the software to detect faulty classes or faulty modules early in the software …
components of the software to detect faulty classes or faulty modules early in the software …
[HTML][HTML] Graph neural networks for representing multivariate resource usage: A multiplayer mobile gaming case-study
Abstract The emergence of Multiplayer Mobile Gaming (MMG) applications is intertwined
with a plethora of Quality of Service and Quality of Experience requirements. Resource …
with a plethora of Quality of Service and Quality of Experience requirements. Resource …
[HTML][HTML] Enterprise information management systems development two cases of mining for process conformance
E Kouzari, L Sotiriadis, I Stamelos - International Journal of Information …, 2023 - Elsevier
This article investigates how Process Mining may be used to check process conformance in
enterprise information system development. The concept of using Process Mining beyond …
enterprise information system development. The concept of using Process Mining beyond …
A systematic review of hyperparameter tuning techniques for software quality prediction models
R Malhotra, M Cherukuri - Intelligent Data Analysis, 2024 - journals.sagepub.com
BACKGROUND: Software quality prediction models play a crucial role in identifying
vulnerable software components during early stages of development, and thereby …
vulnerable software components during early stages of development, and thereby …
Ai-Assisted Resource Allocation for improved business efficiency and profitability
GS Kumar, KK Ramachandran… - 2023 3rd …, 2023 - ieeexplore.ieee.org
The emergence of smart devices has raised demand for numerous computational
paradigms, including cloud computing, fog computing, and the Internet of Things. But even …
paradigms, including cloud computing, fog computing, and the Internet of Things. But even …
[HTML][HTML] Advancing Metaverse's experience through optimization of players' decisions
S Cohen, B Fishbain - … Journal of Information Management Data Insights, 2025 - Elsevier
The Metaverse, a virtual world enabling user interaction with digital environments and
assets, increasingly utilizes blockchain and Non-Fungible Tokens (NFTs) to represent …
assets, increasingly utilizes blockchain and Non-Fungible Tokens (NFTs) to represent …
[HTML][HTML] Forecasting solar power generation using evolutionary mating algorithm-deep neural networks
MH Sulaiman, Z Mustaffa - Energy and AI, 2024 - Elsevier
This paper proposes an integration of recent metaheuristic algorithm namely Evolutionary
Mating Algorithm (EMA) in optimizing the weights and biases of deep neural networks …
Mating Algorithm (EMA) in optimizing the weights and biases of deep neural networks …
[HTML][HTML] Ensemble learning based software defect prediction
X Dong, Y Liang, S Miyamoto, S Yamaguchi - Journal of Engineering …, 2023 - Elsevier
Currently, the cost to detect and solve software defects is a heavy burden on software
projects. So, it is significant to predict software defects at the earlier stages of the software …
projects. So, it is significant to predict software defects at the earlier stages of the software …
Analysis of the effectiveness of metaheuristic methods on Bayesian optimization in the classification of visual field defects
Bayesian optimization (BO) is commonly used to optimize the hyperparameters of transfer
learning models to improve the model's performance significantly. In BO, the acquisition …
learning models to improve the model's performance significantly. In BO, the acquisition …
Research on a Method of Robot Grinding Force Tracking and Compensation Based on Deep Genetic Algorithm
M Meng, C Zhou, Z Lv, L Zheng, W Feng, T Wu… - Machines, 2023 - mdpi.com
In the grinding process of complex-shaped cast workpieces, discrepancies between the
workpiece's contours and their corresponding three-dimensional models frequently lead to …
workpiece's contours and their corresponding three-dimensional models frequently lead to …