|
UPSI Digital Repository (UDRep)
|
|
|
| Total records found : 3 |
| Simplified search suggestions : Norliza Abdul Majid |
| 1 | 2017 Article | Aggression in the sporting: catharsis and social support Mohd. Shariff Abd. Rahim, Javed Saeed, Salimin Norkhalid, Abdul Majid Norliza, 2255 hits |
| 2 | 2017 Article | The importance of teachers interpersonal communication skills in enhancing the quality of teaching and learning Norliza Abdul Majid This study aimed to identify the importance of interpersonal relationship skills that need to be addressed for the development of education and the effectiveness in teaching. The need of interpersonal relationships that emphasized on the social and emotional development of students have also become the focus of the study. The role of interpersonal communication skills is seen from the teachers’ ability to master various forms of skills which includes speaking skills, classroom control, teaching techniques and the use of effective communication. This qualitative case studies are based on detailed information from five excellent teachers obtained through in-depth interviews and observation. The information was analysed in an interpretive and descriptive approach based on the themes that appeared and triangulation data techniques is done to determine the validity and reliability of the results. The study found interpersonal relationships skills played an important role in creating attra..... 833 hits |
| 3 | 2024 Article | Unlocking the potential of LSTM for accurate salary prediction with MLE, Jeffreys prior, and advanced risk functions Norliza Abdul Majid This article aims to address the challenge of predicting the salaries of college graduates, a subject of significant practical value in the fields of human resources and career planning. Traditional prediction models often overlook diverse influencing factors and complex data distributions, limiting the accuracy and reliability of their predictions. Against this backdrop, we propose a novel prediction model that integrates maximum likelihood estimation (MLE), Jeffreys priors, Kullback-Leibler risk function, and Gaussian mixture models to optimize LSTM models in deep learning. Compared to existing research, our approach has multiple innovations: First, we successfully improve the model’s predictive accuracy through the use of MLE. Second, we reduce the model’s complexity and enhance its interpretability by applying Jeffreys priors. Lastly, we employ the Kullback-Leibler risk function for model selection and optimization, while the Gaussian mixture models further refine the capture o..... 173 hits |