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Total records found : 3
Simplified search suggestions : Norliza Abdul Majid
12017
Article
Aggression in the sporting: catharsis and social support
Mohd. Shariff Abd. Rahim, Javed Saeed, Salimin Norkhalid, Abdul Majid Norliza,
2255 hits

22017
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

32024
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

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