Items where Author is "Wu, Xiang"

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Number of items: 18.

Teoh, Jing Ru and Hasikin, Khairunnisa and Lai, Khin Wee and Wu, Xiang and Li, Chong (2024) Enhancing early breast cancer diagnosis through automated microcalcification detection using an optimized ensemble deep learning framework. PeerJ Computer Science, 10. e2082. ISSN 2376-5992, DOI https://doi.org/10.7717/peerj-cs.2082.

Wahab, Nur Haninie Abd and Hasikin, Khairunnisa and Lai, Khin Wee and Xia, Kaijian and Bei, Lulu and Huang, Kai and Wu, Xiang (2024) Systematic review of predictive maintenance and digital twin technologies challenges, opportunities, and best practices. PeerJ Computer Science, 10. e1943. ISSN 2376-5992, DOI https://doi.org/10.7717/peerj-cs.1943.

Shan Qing Yeoh, Pauline and Bing, Li and Goh, Siew Li and Hasikin, Khairunnisa and Wu, Xiang and Chai Hum, Yan and Kai Tee, Yee and Wee Lai, Khin (2024) An Efficient Neural Network for Segmenting Multiple Joint Tissues From Knee MRI With Hyperparameter Optimization: Data From the Osteoarthritis Initiative. IEEE Access, 12. pp. 123757-123770. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2024.3454374.

Teh, Xin Yu and Yeoh, Pauline Shan Qing and Wang, Tao and Wu, Xiang and Hasikin, Khairunnisa and Lai, Khin Wee (2024) Knee Osteoarthritis Diagnosis With Unimodal and Multi-Modal Neural Networks: Data From the Osteoarthritis Initiative. IEEE Access, 12. pp. 146698-146717. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2024.3472654.

Ng, Jun Chen and Yeoh, Pauline Shan Qing and Bing, Li and Wu, Xiang and Hasikin, Khairunnisa and Lai, Khin Wee (2024) A Privacy-Preserving Approach Using Deep Learning Models for Diabetic Retinopathy Diagnosis. IEEE Access, 12. pp. 145159-145173. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2024.3469537.

Wu, Xiang and Wang, Huanhuan and Zhang, Yongting and Zou, Baowen and Hong, Huaqing (2024) A Tutorial-Generating Method for Autonomous Online Learning. IEEE Transactions on Learning Technologies, 17. pp. 1558-1567. ISSN 1939-1382, DOI https://doi.org/10.1109/TLT.2024.3390593.

Yeoh, Pauline Shan Qing and Lai, Khin Wee and Goh, Siew Li and Hasikin, Khairunnisa and Wu, Xiang and Li, Pei (2023) Transfer learning-assisted 3D deep learning models for knee osteoarthritis detection: Data from the osteoarthritis initiative. Frontiers in Bioengineering And Biotechnology, 11. ISSN 2296-4185, DOI https://doi.org/10.3389/fbioe.2023.1164655.

Zhao, Zhen and Chuah, Joon Huang and Lai, Khin Wee and Chow, Chee-Onn and Gochoo, Munkhjargal and Dhanalakshmi, Samiappan and Wang, Na and Bao, Wei and Wu, Xiang (2023) Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review. Frontiers in Computational Neuroscience, 17. DOI https://doi.org/10.3389/fncom.2023.1038636.

Muthu, P. and Tan, Yongqi and Latha, S. and Dhanalakshmi, Samiappan and Lai, Khin Wee and Wu, Xiang (2023) Discernment on assistive technology for the care and support requirements of older adults and differently-abled individuals. Frontiers in Public Health, 10. ISSN 2296-2565, DOI https://doi.org/10.3389/fpubh.2022.1030656.

Arumugam, Ramya and Kumar, Ramamoorthy and Dhanalakshmi, Samiappan and Lai, Khin Wee and Jiao, Lei and Wu, Xiang (2023) Novel apodized fiber bragg grating applied for medical sensors: Performance investigation. CMES-Computer Modeling in Engineering & Sciences, 135 (1). pp. 301-323. ISSN 1526-1492, DOI https://doi.org/10.32604/cmes.2022.022144.

Nair, Ashwini Sunil and Priya, Radhakrishnan Shanthi and Rajagopal, Prashanthini and Pradeepa, Chandramouli and Senthil, Ramalingam and Dhanalakshmi, Samiappan and Lai, Khin Wee and Wu, Xiang and Zuo, Xiaowei (2022) A case study on the effect of light and colors in the built environment on autistic children's behavior. Frontiers in Psychiatry, 13. ISSN 1664-0640, DOI https://doi.org/10.3389/fpsyt.2022.1042641.

Krupa, Abel Jaba Deva and Dhanalakshmi, Samiappan and Lai, Khin Wee and Tan, Yongqi and Wu, Xiang (2022) An IoMT enabled deep learning framework for automatic detection of fetal QRS: A solution to remote prenatal care. Journal of King Saud University - Computer and Information Sciences, 34 (9). pp. 7200-7211. ISSN 1319-1578, DOI https://doi.org/10.1016/j.jksuci.2022.07.002.

Khairuddin, Mohamed Zul Fadhli and Hasikin, Khairunnisa and Abd Razak, Nasrul Anuar and Lai, Khin Wee and Osman, Mohd Zamri and Aslan, Muhammet Fatih and Sabanci, Kadir and Azizan, Muhammad Mokhzaini and Satapathy, Suresh Chandra and Wu, Xiang (2022) Predicting occupational injury causal factors using text-based analytics: A systematic review. Frontiers in Public Health, 10. ISSN 2296-2565, DOI https://doi.org/10.3389/fpubh.2022.984099.

Shoaib, Muhammad Ali and Lai, Khin Wee and Chuah, Joon Huang and Hum, Yan Chai and Ali, Raza and Dhanalakshmi, Samiappan and Wang, Huanhuan and Wu, Xiang (2022) Comparative studies of deep learning segmentation models for left ventricle segmentation. Frontiers in Public Health, 10. ISSN 2296-2565, DOI https://doi.org/10.3389/fpubh.2022.981019.

Thakur, Mahima and Kuresan, Harisudha and Dhanalakshmi, Samiappan and Lai, Khin Wee and Wu, Xiang (2022) Soft attention based DenseNet model for Parkinson's disease classification using SPECT images. Frontiers in Aging Neuroscience, 14. ISSN 1663-4365, DOI https://doi.org/10.3389/fnagi.2022.908143.

Lim, Bing Yan and Lai, Khin Wee and Hasikin, Khairunnisa and Kulathilake, K. A. Saneera Hemantha and Ong, Zhi Chao and Hum, Yan Chai and Dhanalakshmi, Samiappan and Wu, Xiang and Zuo, Xiaowei (2022) Deep learning model for prediction of progressive mild cognitive impairment to Alzheimer's disease using structural MRI. Frontiers in Aging Neuroscience, 14. ISSN 1663-4365, DOI https://doi.org/10.3389/fnagi.2022.876202.

Latha, S. and Muthu, P. and Dhanalakshmi, Samiappan and Kumar, R. and Lai, Khin Wee and Wu, Xiang (2022) Emerging feature extraction techniques for machine learning-based classification of carotid artery ultrasound images. Computational Intelligence and Neuroscience, 2022. ISSN 1687-5265, DOI https://doi.org/10.1155/2022/1847981.

Jamaludin, Mohd Redzuan and Lai, Khin Wee and Chuah, Joon Huang and Zaki, Muhammad Afiq and Hasikin, Khairunnisa and Abd Razak, Nasrul Anuar and Dhanalakshmi, Samiappan and Saw, Lim Beng and Wu, Xiang (2022) Machine learning application of transcranial motor-evoked potential to predict positive functional outcomes of patients. Computational Intelligence and Neuroscience, 2022. ISSN 1687-5265, DOI https://doi.org/10.1155/2022/2801663.

This list was generated on Wed Jan 15 10:54:02 2025 +08.