A5087885889- Imbalanced Data Classification Techniques
- Financial Distress and Bankruptcy Prediction
- Vehicle License Plate Recognition
- Advanced Numerical Analysis Techniques
- Customer churn and segmentation
- Digital Image Processing Techniques
- Algebraic and Geometric Analysis
- AI and HR Technologies
National and Kapodistrian University of Athens
2023
Ulyanovsk State Technical University
2023
Democritus University of Thrace
2023
Gulf University for Science & Technology
2023
China Medical University Hospital
2023
China Medical University
2023
Laboratoire de Chimie
2023
Neijiang Normal University
2023
<abstract><p>The importance of quaternions in a variety fields, such as physics, engineering and computer science, renders the effective solution time-varying quaternion matrix linear equation (TV-QLME) an equally important interesting task. Zeroing neural networks (ZNN) have seen great success solving TV problems real complex domains, while matrices may be readily represented either or matrix, magnified size. On that account, three new ZNN models are developed TV-QLME is solved...
Employee attrition, defined as the voluntary resignation of a subset company’s workforce, represents direct threat to financial health and overall prosperity firm. From lost reputation sales undermining long-term strategy corporate secrets, effects employee attrition are multidimensional and, in absence thorough planning, may endanger very existence It is thus impeccable today’s competitive environment that company acquires tools enable timely prediction leave room either for retention...
Credit card customers comprise a volatile subset of banks' client base. As such, banks would like to predict in advance which those clients are likely attrite, so as approach them with proactive marketing campaigns. Neuronets have found great application many classification problems. attrition is poorly investigated subtopic that poses challenges, such highly imbalanced datasets. The goal this research construct feed-forward neuronet can overcome obstacles and thus accurately classify credit...