Ponnuthurai Nagaratnam Suganthan
Biographic Data
| ID | 9176462 |
|---|---|
| NAME | Ponnuthurai Nagaratnam Suganthan |
| GIVEN NAMES | Ponnuthurai Nagaratnam |
| FAMILY NAME | Suganthan |
| SIGNATURE | SUGANTHAN P N |
| AFFILIATIONS | Nanyang Technological University |
| ORCID | 0000-0003-0901-5105 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 1 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Alzheimer’s Disease Diagnosis via Intuitionistic Fuzzy Random Vector Functional Link Network
Alzheimer's disease (AD) is a prominent neurodegenerative disorder, which leads to memory loss and cognitive impairment. The progression is irreversible and shows atrophies in cerebral cortex. Multiple studies revealed that the early diagnosis and early treatment can slow the progress of dementia, and hence, further atrophies can be controlled. Brain imaging data, such as magnetic resonance imaging (MRI), have been prominently used for the diagno…
Extended Features Based Random Vector Functional Link Network for Classification Problem
Random vector functional link (RVFL) network has been successfully employed in diverse domains such as computer vision and machine learning, due to its universal approximation capability. Recently, the shallow RVFL architecture has been extended to deep architectures. In deep architectures, multiple hidden layers are stacked for extracting informative features from the original feature space. Therefore, having rich features, deep models are very …
Differential Evolution
No prominent works on this page.
Differential Evolution
Alzheimer’s Disease Diagnosis via Intuitionistic Fuzzy Random Vector Functional Link Network
Alzheimer's disease (AD) is a prominent neurodegenerative disorder, which leads to memory loss and cognitive impairment. The progression is irreversible and shows atrophies in cerebral cortex. Multiple studies revealed that the early diagnosis and early treatment can slow the progress of dementia, and hence, further atrophies can be controlled. Brain imaging data, such as magnetic resonance imaging (MRI), have been prominently used for the diagno…
Extended Features Based Random Vector Functional Link Network for Classification Problem
Random vector functional link (RVFL) network has been successfully employed in diverse domains such as computer vision and machine learning, due to its universal approximation capability. Recently, the shallow RVFL architecture has been extended to deep architectures. In deep architectures, multiple hidden layers are stacked for extracting informative features from the original feature space. Therefore, having rich features, deep models are very …
Artificial Intelligence (3 works) · Computer Science (3 works) · Face and Expression Recognition (2 works) · Machine Learning and ELM (2 works) · Mathematics (2 works) · Support vector machine (2 works) · Artificial Intelligence (1 work) · Biology (1 work) · Brain Tumor Detection and Classification (1 work) · Computer network (1 work)