Rini Asnida Abdullah
Biographic Data
| ID | 8094557 |
|---|---|
| NAME | Rini Asnida Abdullah |
| GIVEN NAMES | Rini Asnida |
| FAMILY NAME | Abdullah |
| SIGNATURE | ABDULLAH R A |
| AFFILIATIONS | University of Technology Malaysia |
| ORCID | 0000-0002-5275-730X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Students’ Perception Towards Teaching Practices Among Lecturers With Professional Engineer Certification
Engineering bachelor’s degree programmes in Malaysia require up to thirty percent (30%) of lecturers in their faculty to have professional engineering certificates. However, the teaching approach by these professionally certified lecturers, compared to those who were not certified engineers has not yet been fully investigated. This study utilised a qualitative approach and selected eight (8) engineering students from the Faculty of Mechanical Eng…
Intelligent ground vibration prediction in surface mines using an efficient soft computing method based on field data
Ground vibration induced by blasting operations is considered one of the most common environmental effects of mining projects. A strong ground vibration can destroy buildings and structures, hence its prediction and minimization are of high importance. The aim of this study is to estimate the ground vibration through a hybrid soft computing (SC) method, called RSM-SVR, which comprises two main regression techniques: the response surface model (RS…
No prominent works on this page.
Students’ Perception Towards Teaching Practices Among Lecturers With Professional Engineer Certification
Engineering bachelor’s degree programmes in Malaysia require up to thirty percent (30%) of lecturers in their faculty to have professional engineering certificates. However, the teaching approach by these professionally certified lecturers, compared to those who were not certified engineers has not yet been fully investigated. This study utilised a qualitative approach and selected eight (8) engineering students from the Faculty of Mechanical Eng…
Intelligent ground vibration prediction in surface mines using an efficient soft computing method based on field data
Ground vibration induced by blasting operations is considered one of the most common environmental effects of mining projects. A strong ground vibration can destroy buildings and structures, hence its prediction and minimization are of high importance. The aim of this study is to estimate the ground vibration through a hybrid soft computing (SC) method, called RSM-SVR, which comprises two main regression techniques: the response surface model (RS…
Acoustics (1 works) · Artificial Intelligence (1 works) · Artificial neural network (1 works) · Bachelor (1 works) · Certification (1 works) · Computer Science (1 works) · Data mining (1 works) · Engineering (1 works) · Engineering education (1 works) · Engineering Education and Curriculum Development (1 works)