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ORCIDKate N. Wang 0001
Person information
- affiliation: RMIT University, School of Health and Biomedical Sciences, Melbourne, Australia
- affiliation: University of Western Australia, Perth
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2020 – today
- 2023
[j8]Yingqun Chen, Shaodong Han, Guihong Chen
, Jiao Yin, Kate Nana Wang, Jinli Cao:
A deep reinforcement learning-based wireless body area network offloading optimization strategy for healthcare services. Health Inf. Sci. Syst. 11(1): 8 (2023)- [j7]Xinyu Pang, Yong-Feng Ge, Kate N. Wang, Agma J. M. Traina, Hua Wang:
Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm. Health Inf. Sci. Syst. 11(1): 30 (2023) - [j6]Mingshan You, Jiao Yin, Hua Wang, Jinli Cao, Kate N. Wang, Yuan Miao, Elisa Bertino:
A knowledge graph empowered online learning framework for access control decision-making. World Wide Web (WWW) 26(2): 827-848 (2023) - [c8]Yanjun Liu, Daizhong Luo, Kate N. Wang, Jiao Yin:
Unveiling the Pandemic's Impact: A Dataset for Probing COVID-19's Effects on E-Learning Activities and Academic Performance. HIS 2023: 149-160 - [c7]Puti Xu, Wei Hong, Jiao Yin, Kate N. Wang, Yanchun Zhang:
Analyzing the Impact of COVID-19 on Education: A Comparative Study Based on TOEFL Test Results. HIS 2023: 175-184 - [c6]Mingshan You, Yong-Feng Ge, Kate N. Wang, Hua Wang, Jinli Cao, Georgios Kambourakis:
TLEF: Two-Layer Evolutionary Framework for t-Closeness Anonymization. WISE 2023: 235-244 - 2022
- [j5]Dinesh Pandey, Hua Wang, Xiaoxia Yin, Kate N. Wang, Yanchun Zhang, Jing Shen:
Automatic breast lesion segmentation in phase preserved DCE-MRIs. Health Inf. Sci. Syst. 10(1): 9 (2022) - [j4]Ashik Mostafa Alvi, Siuly Siuly, Hua Wang, Kate N. Wang, Frank Whittaker:
A deep learning based framework for diagnosis of mild cognitive impairment. Knowl. Based Syst. 248: 108815 (2022) - [j3]Joshua Lee, Joon Soo Park, Kate N. Wang, Boxi Feng, Marc Tennant, Estie Kruger:
The use of telehealth during the coronavirus (COVID-19) pandemic in oral and maxillofacial surgery - A qualitative analysis. EAI Endorsed Trans. Scalable Inf. Syst. 9(4): 2 (2022) - [j2]Rubina Sarki, Khandakar Ahmed, Hua Wang, Yanchun Zhang, Kate N. Wang:
Convolutional Neural Network for Multi-class Classification of Diabetic Eye Disease. EAI Endorsed Trans. Scalable Inf. Syst. 9(4): 5 (2022) - [c5]Md. Nurul Ahad Tawhid, Siuly Siuly, Kate N. Wang, Hua Wang:
Brain Data Mining Framework Involving Entropy Topography and Deep Learning. ADC 2022: 161-168 - [c4]Joshua Lee, Joon Soo Park, Hua Wang, Boxi Feng, Kate N. Wang:
Assessing the Utilisation of TELedentistry from Perspectives of Early Career Dental Practitioners - Development of the UTEL Questionnaire. HIS 2022: 189-196 - [c3]Xinyu Pang, Yong-Feng Ge, Kate N. Wang:
Genetic Algorithm for Patient Assignment Optimization in Cloud Healthcare System. HIS 2022: 197-208 - 2021
- [j1]Rubina Sarki, Khandakar Ahmed, Hua Wang, Yanchun Zhang, Jiangang Ma, Kate N. Wang:
Image Preprocessing in Classification and Identification of Diabetic Eye Diseases. Data Sci. Eng. 6(4): 455-471 (2021) - [c2]Dinesh Pandey, Hua Wang, Xiaoxia Yin, Kate N. Wang, Yanchun Zhang, Jing Shen:
Automatic Breast Lesion Segmentation Using Continuous Max-Flow Algorithm in Phase Preserved DCE-MRIs. HIS 2021: 124-137 - [c1]Md. Nurul Ahad Tawhid, Siuly Siuly, Kate N. Wang, Hua Wang:
Data Mining Based Artificial Intelligent Technique for Identifying Abnormalities from Brain Signal Data. WISE (1) 2021: 198-206
Coauthor Index
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