Kueh Lee Hui

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 10

Top Topics

Factor Authentication

Machine Learning

Top Venues

Publications

Mangal Sain, Oloviddin Normurodov, Chen Hong, Kueh Lee Hui
A Survey on the Security in Cyber Physical System with Multi-Factor Authentication. ICACT (2022)
Seli Mohapatra, Prafulla Kumar Behera, Prabodh Kumar Sahoo, Sukant Kishoro Bisoy, Kueh Lee Hui, Mangal Sain
Mobility Induced Multi-Hop LEACH Protocol in Heterogeneous Mobile Network. IEEE Access 10 (2022)
Mangal Sain, Oloviddin Normurodov, Chen Hong, Kueh Lee Hui
A Survey on the Security in Cyber Physical System with Multi-Factor Authentication. ICACT (2021)
Deepanjali Mishra, Chen Hong, Kueh Lee Hui, Ahmed Al-Absi, Mangal Sain
Cyber security in Research and Academics due to Social Media. ICACT (2020)
Satyabrata Aich, Hee-Cheol Kim, Kim Younga, Kueh Lee Hui, Ahmed Abdulhakim Al-Absi, Mangal Sain
A Supervised Machine Learning Approach using Different Feature Selection Techniques on Voice Datasets for Prediction of Parkinson's Disease. ICACT (2019)
Sanjar Ibrokhimov, Kueh Lee Hui, Ahmed Abdulhakim Al-Absi, Hoon Jae Lee, Mangal Sain
Multi-Factor Authentication in Cyber Physical System: A State of Art Survey. ICACT (2019)
Okeke Stephen, Uchenna Joseph Maduh, Sanjar Ibrokhimov, Kueh Lee Hui, Ahmed Abdulhakim Al-Absi, Mangal Sain
A Multiple-Loss Dual-Output Convolutional Neural Network for Fashion Class Classification. ICACT (2019)
Satyabrata Aich, Ahmed Abdulhakim Al-Absi, Kueh Lee Hui, Mangal Sain
Prediction of Quality for Different Type of Wine based on Different Feature Sets Using Supervised Machine Learning Techniques. ICACT (2019)
Satyabrata Aich, Kim Younga, Kueh Lee Hui, Ahmed Abdulhakim Al-Absi, Mangal Sain
A nonlinear decision tree based classification approach to predict the Parkinson's disease using different feature sets of voice data. ICACT (2018)
Satyabrata Aich, Ahmed Abdulhakim Al-Absi, Kueh Lee Hui, John Tark Lee, Mangal Sain
A classification approach with different feature sets to predict the quality of different types of wine using machine learning techniques. ICACT (2018)