Items where Author is "Dhanalakshmi, Samiappan"

Article

Pauline, S. Hannah and Dhanalakshmi, Samiappan and Kumar, R. and Narayanamoorthi, R. and Lai, Khin Wee (2023) Multistage switched adaptive filtering approach for denoising speech signals of Parkinson's Disease-affected patients. Circuits Systems and Signal Processing, 42 (4). pp. 2259-2282. ISSN 0278-081X, DOI https://doi.org/10.1007/s00034-022-02211-3.

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.

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.

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.

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.

Pauline, S. Hannah and Dhanalakshmi, Samiappan and Kumar, R. and Narayanamoorthi, R. and Lai, Khin Wee (2022) A low-cost multistage Cascaded adaptive filter configuration for noise reduction in Phonocardiogram signal. Journal of Healthcare Engineering, 2022. ISSN 2040-2295, DOI https://doi.org/10.1155/2022/3039624.

Ligi, S. Vineth and Kundu, Soumya Snigdha and Kumar, R. and Narayanamoorthi, R. and Lai, Khin Wee and Dhanalakshmi, Samiappan (2022) Radiological analysis of COVID-19 using computational intelligence: A broad gauge study. Journal of Healthcare Engineering, 2022. ISSN 2040-2295, DOI https://doi.org/10.1155/2022/5998042.

Teoh, Yun Xin and Lai, Khin Wee and Usman, Juliana and Goh, Siew Li and Mohafez, Hamidreza and Hasikin, Khairunnisa and Qian, Pengjiang and Jiang, Yizhang and Zhang, Yuanpeng and Dhanalakshmi, Samiappan (2022) Discovering knee osteoarthritis imaging features for diagnosis and prognosis: review of manual imaging grading and machine learning approaches. Journal of Healthcare Engineering, 2022. ISSN 2040-2295, DOI https://doi.org/10.1155/2022/4138666.

Latha, S. and Muthu, P. and Lai, Khin Wee and Khalil, Azira and Dhanalakshmi, Samiappan (2022) Performance analysis of machine learning and deep learning architectures on early stroke detection using carotid artery ultrasound images. Frontiers in Aging Neuroscience, 13. ISSN 1663-4365, DOI https://doi.org/10.3389/fnagi.2021.828214.

Yeoh, Pauline Shan Qing and Lai, Khin Wee and Goh, Siew Li and Hasikin, Khairunnisa and Hum, Yan Chai and Tee, Yee Kai and Dhanalakshmi, Samiappan (2021) Emergence of deep learning in knee osteoarthritis diagnosis. Computational Intelligence and Neuroscience, 2021. ISSN 1687-5265, DOI https://doi.org/10.1155/2021/4931437.

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.