Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble learning

M Mafarja, T Thaher, MA Al-Betar, J Too… - Applied …, 2023 - Springer
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 …

[HTML][HTML] Graph neural networks for representing multivariate resource usage: A multiplayer mobile gaming case-study

T Theodoropoulos, A Makris, I Kontopoulos… - International Journal of …, 2023 - Elsevier
Abstract The emergence of Multiplayer Mobile Gaming (MMG) applications is intertwined
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 …

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 …

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 …

[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 …

[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 …

[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 …

Analysis of the effectiveness of metaheuristic methods on Bayesian optimization in the classification of visual field defects

M Abu, NAH Zahri, A Amir, MI Ismail, A Yaakub… - Diagnostics, 2023 - mdpi.com
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 …

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 …