Kate N. Wang

According to our database, Kate N. Wang authored at least 20 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GENet: A Generic Neural Network for Detecting Various Neurological Disorders From EEG.

Md. Nurul Ahad Tawhid, Siuly Siuly, Kate N. Wang, Hua Wang

IEEE Trans. Cogn. Dev. Syst., October, 2024

Hierarchical adaptive evolution framework for privacy-preserving data publishing.

Mingshan You, Yong-Feng Ge, Kate N. Wang, Hua Wang, Jinli Cao, Georgios Kambourakis

World Wide Web (WWW), July, 2024

Electronic health records and e-prescribing in Australia: An exploration of technological utilisation in Australian community pharmacies.

Amina Hareem, Ieva Stupans, Joon Soo Park, Julie E. Stevens, Kate N. Wang

Int. J. Medical Informatics, 2024

A Privacy-Preserving Encryption Framework for Big Data Analysis.

Taslima Khanam, Siuly Siuly, Kate N. Wang, Zhonglong Zheng

Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

2023

Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm.

Xinyu Pang, Yong-Feng Ge, Kate N. Wang, Agma J. M. Traina, Hua Wang

Health Inf. Sci. Syst., December, 2023

A deep reinforcement learning-based wireless body area network offloading optimization strategy for healthcare services.

Yingqun Chen, Shaodong Han, Guihong Chen, Jiao Yin, Kate Nana Wang, Jinli Cao

Health Inf. Sci. Syst., December, 2023

A knowledge graph empowered online learning framework for access control decision-making.

Mingshan You, Jiao Yin, Hua Wang, Jinli Cao, Kate N. Wang, Yuan Miao, Elisa Bertino

World Wide Web (WWW), March, 2023

TLEF: Two-Layer Evolutionary Framework for t-Closeness Anonymization.

Mingshan You, Yong-Feng Ge, Kate N. Wang, Hua Wang, Jinli Cao, Georgios Kambourakis

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Analyzing the Impact of COVID-19 on Education: A Comparative Study Based on TOEFL Test Results.

Puti Xu, Wei Hong, Jiao Yin, Kate N. Wang, Yanchun Zhang

Proceedings of the Health Information Science - 12th International Conference, 2023

Unveiling the Pandemic's Impact: A Dataset for Probing COVID-19's Effects on E-Learning Activities and Academic Performance.

Yanjun Liu, Daizhong Luo, Kate N. Wang, Jiao Yin

Proceedings of the Health Information Science - 12th International Conference, 2023

2022

Convolutional Neural Network for Multi-class Classification of Diabetic Eye Disease.

Rubina Sarki, Khandakar Ahmed, Hua Wang, Yanchun Zhang, Kate N. Wang

EAI Endorsed Trans. Scalable Inf. Syst., 2022

The use of telehealth during the coronavirus (COVID-19) pandemic in oral and maxillofacial surgery - A qualitative analysis.

Joshua Lee, Joon Soo Park, Kate N. Wang, Boxi Feng, Marc Tennant, Estie Kruger

EAI Endorsed Trans. Scalable Inf. Syst., 2022

A deep learning based framework for diagnosis of mild cognitive impairment.

Ashik Mostafa Alvi, Siuly Siuly, Hua Wang, Kate N. Wang, Frank Whittaker

Knowl. Based Syst., 2022

Automatic breast lesion segmentation in phase preserved DCE-MRIs.

Dinesh Pandey, Hua Wang, Xiaoxia Yin, Kate N. Wang, Yanchun Zhang, Jing Shen

Health Inf. Sci. Syst., 2022

Genetic Algorithm for Patient Assignment Optimization in Cloud Healthcare System.

Xinyu Pang, Yong-Feng Ge, Kate N. Wang

Proceedings of the Health Information Science - 11th International Conference, 2022

Assessing the Utilisation of TELedentistry from Perspectives of Early Career Dental Practitioners - Development of the UTEL Questionnaire.

Joshua Lee, Joon Soo Park, Hua Wang, Boxi Feng, Kate N. Wang

Proceedings of the Health Information Science - 11th International Conference, 2022

Brain Data Mining Framework Involving Entropy Topography and Deep Learning.

Md. Nurul Ahad Tawhid, Siuly Siuly, Kate N. Wang, Hua Wang

Proceedings of the Databases Theory and Applications, 2022

2021

Image Preprocessing in Classification and Identification of Diabetic Eye Diseases.

Rubina Sarki, Khandakar Ahmed, Hua Wang, Yanchun Zhang, Jiangang Ma, Kate N. Wang

Data Sci. Eng., 2021

Data Mining Based Artificial Intelligent Technique for Identifying Abnormalities from Brain Signal Data.

Md. Nurul Ahad Tawhid, Siuly Siuly, Kate N. Wang, Hua Wang

Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Automatic Breast Lesion Segmentation Using Continuous Max-Flow Algorithm in Phase Preserved DCE-MRIs.

Dinesh Pandey, Hua Wang, Xiaoxia Yin, Kate N. Wang, Yanchun Zhang, Jing Shen

Proceedings of the Health Information Science - 10th International Conference, 2021