Kiran Fahd
Biographic Data
| ID | 8547147 |
|---|---|
| NAME | Kiran Fahd |
| GIVEN NAMES | Kiran |
| FAMILY NAME | Fahd |
| SIGNATURE | FAHD K |
| AFFILIATIONS | University of Newcastle Australia |
| ORCID | 0009-0002-8213-3984 |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Effectiveness of data augmentation to predict students at risk using deep learning algorithms
The academic intervention to predict at-risk higher education (HE) students requires effective data model development. Such data modelling projects in the HE context may have common issues related to (a) adopting small-scale modelling that gives limited options for early intervention and (b) using imbalanced data that hinders capturing effective details of poorly performing students. We address the issues going beyond the distribution-based algor…
Knowledge graph model development for knowledge discovery in dementia research using cognitive scripting and next-generation graph-based database
Recent studies report doubling numbers of deaths due to dementia. With such an escalating mortality rate related to cognitive decline diseases, like dementia, timely information on contributing factors and knowledge discovery from evidence-based repositories is warranted. A large amount of scholarly knowledge extracted from research findings on dementia can be understood only using human intelligence for arriving at quality inferences. Due to the…
No prominent works on this page.
Knowledge graph model development for knowledge discovery in dementia research using cognitive scripting and next-generation graph-based database
Recent studies report doubling numbers of deaths due to dementia. With such an escalating mortality rate related to cognitive decline diseases, like dementia, timely information on contributing factors and knowledge discovery from evidence-based repositories is warranted. A large amount of scholarly knowledge extracted from research findings on dementia can be understood only using human intelligence for arriving at quality inferences. Due to the…
Effectiveness of data augmentation to predict students at risk using deep learning algorithms
The academic intervention to predict at-risk higher education (HE) students requires effective data model development. Such data modelling projects in the HE context may have common issues related to (a) adopting small-scale modelling that gives limited options for early intervention and (b) using imbalanced data that hinders capturing effective details of poorly performing students. We address the issues going beyond the distribution-based algor…
Artificial Intelligence (2 works) · Computer Science (2 works) · Data mining (2 works) · Psychology (2 works) · Advanced Graph Neural Networks (1 work) · Big data (1 work) · Biomedical Text Mining and Ontologies (1 work) · Cognition (1 work) · COVID-19 diagnosis using AI (1 work) · Data science (1 work)