Fingerprint
Dive into the research topics where Esraa Gasim is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
A decade of research on machine learning techniques for predicting employee turnover: A systematic literature review
Akasheh, M. A., Malik, E. F., Hujran, O. & Zaki, N., Mar 15 2024, In: Expert Systems with Applications. 238, 121794.Research output: Contribution to journal › Article › peer-review
38 Link opens in a new tab Citations (Scopus) -
Enhancing the Prediction of Employee Turnover with Knowledge Graphs and Explainable AI
Al Akasheh, M., Hujran, O., Faisal Malik, E. & Zaki, N., 2024, In: IEEE Access. 12, p. 77041-77053 13 p.Research output: Contribution to journal › Article › peer-review
Open Access21 Link opens in a new tab Citations (Scopus) -
Hybrid GA–DeepAutoencoder–KNN Model for Employee Turnover Prediction
Lim, C. S., Malik, E. F., Khaw, K. W., Alnoor, A., Chew, X. Y., Chong, Z. L. & Akasheh, M. A., 2024, In: Statistics, Optimization and Information Computing. 12, 1, p. 75-90 16 p.Research output: Contribution to journal › Article › peer-review
Open Access16 Link opens in a new tab Citations (Scopus) -
A Proposed Hybrid GA-TDDPL-CNN-LSTM Architecture for Stock Trend Prediction
Loo, W. C., Malik, E. F., Chew, X., Khaw, K. W., Saha, S., Lee, M. H. & Akasheh, M. A., Jul 16 2023, In: International Journal of Intelligent Systems and Applications in Engineering. 11, 3, p. 653-664 12 p.Research output: Contribution to journal › Article › peer-review
2 Link opens in a new tab Citations (Scopus) -
Classification and Ensemble Machine Learning Algorithms to Predict Memory Requirements for Compute Farm Jobs
Malik, E. F., Khaw, K. W., Chew, X., Alnoor, A. & Akasheh, M. A., 2023, In: Applications of Modelling and Simulation. 7, p. 190-200 11 p.Research output: Contribution to journal › Article › peer-review