Search results | HKMU Student Works Repository

(1 - 8 of 8)

Title: Ucloset
Contributor: Jiang, Yurong Krystal
Lu, Chen Natalie
Huang, Shiting Harriet
Ding, Xiya Momo
School / Unit: Lee Shau Kee School of Business and Administration (B&A)
Date: 2023
Access Eligibility: Public Access

Title: Washroom Easy : an intelligent application in searching an available washroom in a large shopping mall
Contributor: Yu, Hoi Kin
Cheung, Ho Lung
Zhang, Tianyu
Shao, Ziyang
Kwok, Tommy Chok Pang
School / Unit: School of Science and Technology (S&T)
Date: 2022
Access Eligibility: Public Access

Title: Caring low vision patients : a mobile application to assisting the use of over the counter medicines for low vision people
Contributor: Kwok, Chin Hung
Leung, Man Fai Henry 梁文輝
School / Unit: School of Science and Technology (S&T)
Date: 2021
Access Eligibility: Public Access

Title: EYEDENTIFY(便認) : a mobile application for improving the self-esteem of dementia patients in their social life with machine learning
Contributor: Yeung, Chin Mong
Leung, Tsz Kin
Cheung, Man Fai
Ng, Sin Chun Vanessa 吳倩珍
School / Unit: School of Science and Technology (S&T)
Date: 2021
Access Eligibility: Public Access

Title: Make HTML learning smarter for student and teacher
Contributor: Tse, Tsz Chun
Man, Pak Him
Yu, Yuen Kang
Wong, Terri
School / Unit: School of Science and Technology (S&T)
Date: 2021
Access Eligibility: Public Access

Title: Banknote recognition : using machine learning in assistive technology for the visually impaired
Contributor: Chung, Sin Hang
Leung, Yuen Yan
Pang, Hoi Shan
Ng, Sin Chun Vanessa 吳倩珍
School / Unit: School of Science and Technology (S&T)
Date: 2019
Access Eligibility: Public Access

Title: ClassS : a mobile application for facilitating teaching and learning in smart classroom
Contributor: Chan, Hong Wing
Chan, Tsz Kwan Gordon
Chuk, Ming Chun Samson
Ng, Sin Chun Vanessa 吳倩珍
School / Unit: School of Science and Technology (S&T)
Date: 2019
Access Eligibility: Public Access

Title: A mobile application for assisting the visually impaired in shopping products based on machine learning
Contributor: Lam, Chun Yip Chris
Lau, Ka Chun Gordon
Tang, Chun Man Tommy
Ng, Sin Chun Vanessa 吳倩珍
School / Unit: School of Science and Technology (S&T)
Date: 2018
Access Eligibility: Public Access

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