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| 1 | Computing the distance between general convex objects in three-dimensional space显示文摘 | GILBERT E G FOO C P | 1990 | IEEE Transactions on Robotics and Automation1990，6，1： | 1 |
| 2 | Direct Torque Control of an IPM-Synchronous Motor Drive at Very Low Speed Using a Sliding- Mode Stator Flux Observer 显示文摘 | Gilbert Hock Beng Foo M F Rahman | 2010 | IEEE Transactions on Power Elec- tranics2010，25，4： | 1 |
| 3 | Sensorless sliding-mode MTPA control of an IPM synchronous motor drive using a sliding-mode observer and HF signal injection 显示文摘 | Gilbert Foo Rahman M F | 2010 | IEEE Transactions on Industrial Electronics2010，57，4： | 1 |
| 4 | Sensorless sliding-mode MTPA con- trol of an IPM synchronous motor drive using a sliding-mode ob- server and HF signal injection 显示文摘 | FOO Gilbert RAHMAN M F | 2010 | IEEE Transactions on Indus- trial Electronics2010，57，4： | 1 |
| 5 | Rotor position and speed estimation of a variable structure direct-torque-controlled IPM synchronous motor drive at very low speeds including standstill显示文摘 | Saad Sayeef Gilbert Foo M F Rahman | 2010 | IEEE Transactions on Industry Electronics2010，57，11： | 1 |
| 6 | Sensorless sliding-mode MTPA control of an IPM synchronous motor drive using a sliding-mode observer and HF signal injection显示文摘 | Gilbert Foo Rahman M F | 2010 | IEEE Trans on Industrial Electronics2010，57，4： | 1 |
| 7 | Sensorless sliding-mode MTPA control of an IPM synchronous motor drive using a sliding-mode observer and HF signal injection显示文摘 | Gilbert Foo Rahman M F | | 0，，04： | 1 |
| 8 | Computing the distance between general convex objects in three-dimensional space显示文摘 | Gilbert E G Foo C P | 1990 | IEEE Transactions on Robotics and Automation1990，6，1： | 1 |
| 9 | Rotor position and speed estimation of a variable structure direct-torque-controlled ipm synchronous motor drive at very low speeds including standstill显示文摘 | SAYEEF Saad FOO Gilbert RAHMAN M F | 2010 | IEEE Transactions on Industrial Electronics2010，57，11： | 1 |
| 10 | Sensorless sliding-mode MTPA con- trol of an IPM synchronous motor drive using a sliding-mode ob- server and HF signal injection 显示文摘 | FOO Gilbert BAHMAN M F | 2011 | IEEE Transactions on Indus- trial Electronics2011，57，4： | 1 |
| 11 | Direct torque control of an IPM-synchronous motor drive at very lo:v speed using a sliding-mode stator flux observer显示文摘 | Gilbert Hock Beng Foo Rahman M F | 2010 | IEEE Transactions on Power Electronics2010，25，4： | 1 |
| 12 | Computing the distance between general convex objects in three-dimensional space显示文摘 | Gilbert E Foo C | 1990 | IEEE Trans on Robotics and Automation1990，6，1： | 1 |
| 13 | Rotor position and speed estimation of a variable structure direct-torque-controlled ipm synchronous motor drive at very low speeds including standstill 显示文摘 | SAYEEF Saad FOO Gilbert RAHMAN M F | 2010 | IEEE Transactions on Industrial Electronics2010，57，11： | 1 |
| 14 | Sensorless Sliding-Mode MTPA Control of an IPM Synchronous Motor Drive Using a SlidingMode Observer and HF Signal Injection显示文摘 | Foo Gilbert Rahman M F | | 0，，04： | 1 |
| 15 | Sensorless sliding-mode MTPA control of an IPM synchronous motor drive using a sliding-mode observer and HF signal injection显示文摘 | Gilbert Foo Rahman M F | 2010 | IEEE Transactions on Industrial Electronics2010，57，4： | 1 |
| 16 | Application of artifcial intelligence in cataract management:current and future directions显示文摘The rise of artifcial intelligence(AI)has brought breakthroughs in many areas of medicine.In ophthalmology,AI has delivered robust results in the screening and detection of diabetic retinopathy,age-related macular degeneration,glaucoma,and retinopathy of prematurity.Cataract management is another feld that can beneft from greater AI application.Cataract is the leading cause of reversible visual impairment with a rising global clinical burden.Improved diagnosis,monitoring,and surgical management are necessary to address this challenge.In addition,patients in large developing countries often sufer from limited access to tertiary care,a problem further exacerbated by the ongoing COVID-19 pandemic.AI on the other hand,can help transform cataract management by improving automation,efcacy and overcoming geographical barriers.First,AI can be applied as a telediagnostic platform to screen and diagnose patients with cataract using slit-lamp and fundus photographs.This utilizes a deep-learning,convolutional neural network(CNN)to detect and classify referable cataracts appropriately.Second,some of the latest intraocular lens formulas have used AI to enhance prediction accuracy,achieving superior postoperative refractive results compared to traditional formulas.Third,AI can be used to augment cataract surgical skill training by identifying diferent phases of cataract surgery on video and to optimize operating theater workfows by accurately predicting the duration of surgical procedures.Fourth,some AI CNN models are able to efectively predict the progression of posterior capsule opacifcation and eventual need for YAG laser capsulotomy.These advances in AI could transform cataract management and enable delivery of efcient ophthalmic services.The key challenges include ethical management of data,ensuring data security and privacy,demonstrating clinically acceptable performance,improving the generalizability of AI models across heterogeneous populations,and improving the trust of end-users. | Laura Gutierrez Jane Sujuan Lim Li Lian Foo Wei Yan Ng Michelle Yip Gilbert Yong San Lim Melissa Hsing Yi Wong Allan Fong Mohamad Rosman Jodhbir Singth Mehta Haotian Lin Darren Shu Jeng Ting Daniel Shu Wei Ting | 2024 | Eye and Vision2024，10，1： | 0 |
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