Items where Author is "Xia, Kaijian"

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Item Type | No Grouping
Jump to: Article
Number of items: 8.

Article

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.

Peng, Peng and Wu, Danping and Huang, Li-Jun and Wang, Jianqiang and Zhang, Li and Wu, Yue and Jiang, Yizhang and Lu, Zhihua and Lai, Khin Wee and Xia, Kaijian (2024) Application of Semi-supervised Fuzzy Clustering Based on Knowledge Weighting and Cluster Center Learning to Mammary Molybdenum Target Image Segmentation. Interdisciplinary Sciences-Computational Life Sciences, 16 (1). pp. 39-57. ISSN 1913-2751, DOI https://doi.org/10.1007/s12539-023-00580-0.

Liu, Li and Xia, Kaijian (2024) BTIS-Net: Efficient 3D U-Net for Brain Tumor Image Segmentation. IEEE Access, 12. pp. 133392-133405. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2024.3460797.

Zhao, Zhen and Chuah, Joon Huang and Chow, Chee-Onn and Xia, Kaijian and Tee, Yee Kai and Hum, Yan Chai and Lai, Khin Wee (2024) Machine learning approaches in comparative studies for Alzheimer's diagnosis using 2D MRI slices. Turkish Journal of Electrical Engineering and Computer Sciences, 32 (1). ISSN 1300-0632, DOI https://doi.org/10.55730/1300-0632.4057.

Rath, Adyasha and Mishra, Debahuti and Panda, Ganapati and Satapathy, Suresh Chandra and Xia, Kaijian (2022) Improved heart disease detection from ECG signal using deep learning based ensemble model. Sustainable Computing-Informatics & Systems, 35. ISSN 2210-5379, DOI https://doi.org/10.1016/j.suscom.2022.100732.

Loo, Wei Kit and Hasikin, Khairunnisa and Suhaimi, Anwar and Por, Lip Yee and Teo, Kareen and Xia, Kaijian and Qian, Pengjiang and Jiang, Yizhang and Zhang, Yuanpeng and Dhanalakshmi, Samiappan and Azizan, Muhammad Mokhzaini and Lai, Khin Wee (2022) Systematic review on COVID-19 readmission and risk factors: future of machine learning in COVID-19 readmission studies. Frontiers In Public Health, 10. ISSN 2296-2565, DOI https://doi.org/10.3389/fpubh.2022.898254.

Ching, Serena Low Woan and Lai, Khin Wee and Chuah, Joon Huang and Hasikin, Khairunnisa and Khalil, Azira and Qian, Pengjiang and Xia, Kaijian and Jiang, Yizhang and Zhang, Yuanpeng and Dhanalakshmi, Samiappan (2022) Multiclass convolution neural network for classification of COVID-19 CT images. Computational Intelligence and Neuroscience, 2022. ISSN 1687-5265, DOI https://doi.org/10.1155/2022/9167707.

Teo, Kareen and Yong, Ching Wai and Muhamad, Farina and Mohafez, Hamidreza and Hasikin, Khairunnisa and Xia, Kaijian and Qian, Pengjiang and Dhanalakshmi, Samiappan and Utama, Nugraha Priya and Lai, Khin Wee (2021) The promise for reducing healthcare cost with predictive model: An analysis with quantized evaluation metric on readmission. Journal of Healthcare Engineering, 2021. ISSN 2040-2295, DOI https://doi.org/10.1155/2021/9208138.

This list was generated on Wed Nov 27 10:00:38 2024 +08.