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S.Dhanalakshmi
S.Dhanalakshmi
Professor, ECE, SRM Institute of Science & Technology, Kattankulathur
Verified email at srmist.edu.in - Homepage
Title
Cited by
Cited by
Year
Regulation of water in agriculture field using Internet Of Things
VV hari Ram, H Vishal, S Dhanalakshmi, PM Vidya
2015 IEEE Technological Innovation in ICT for Agriculture and Rural …, 2015
792015
Emergence of Deep Learning in Knee Osteoarthritis Diagnosis
P Yeoh, Lai, SL Goh, Hasikin, YC Hum, YK Tee, S Dhanalakshmi
Computational Intelligence and Neuroscience 2021, 2021
602021
Fiber optic sensors in ocean observation: A comprehensive review
CRU Kumari, S Dhanalakshmi, R Kumar, T Sudhakar
Optik 179, 351-360, 2019
602019
Variable tap-length non-parametric variable step-size NLMS adaptive filtering algorithm for acoustic echo cancellation
SH Pauline, S Dhanalakshmi, R Kumar, A Anand, A Kar
Applied Acoustics 159, 107074, 2020
502020
Android based smart parking system using slot allocation & reservations
Dhanalakshmi S, Renuka
ARPN Journal of Engineering and Applied Sciences 10 (7), 3116 - 31202015, 2015
492015
Discovering Knee Osteoarthritis Imaging Features for Diagnosis and Prognosis: Review of Manual Imaging Grading and Machine Learning Approaches
YX Teoh, KW Lai, S Dhanalakshmi
Journal of Healthcare Engineering 2022, 2022
422022
An experimental study on simultaneous electricity and heat production from solar PV with thermal energy storage
S Navakrishnan, E Vengadesan, R Senthil, S Dhanalakshmi
Energy Conversion and Management 245, 114614, 2021
422021
Fusion of WPT and MFCC feature extraction in Parkinson’s disease diagnosis
H Kuresan, S Dhanalakshmi, S Masunda
Technology and Health Care 27 (4), 363-372, 2019
382019
Carotid artery ultrasound image analysis: A review of the literature
S Latha, S Dhanalakshmi, R Kumar
Proceedings of the institution of mechanical engineers, Part H: journal of …, 2020
372020
Classification of Carotid Artery Abnormalities in Ultrasound Images using an Artificial Neural Classifier
S Dhanalakshmi
The International Arab Journal of Information Technology (IAJIT) 13 (6A …, 2016
33*2016
An improved parallel sub-filter adaptive noise canceler for the extraction of fetal ECG
A Jaba Deva Krupa, S Dhanalakshmi
Biomedical Engineering/Biomedizinische Technik 66 (5), 503-514, 2021
312021
Development of a highly accurate and fast responsive salinity sensor based on Nuttall apodized Fiber Bragg Grating coated with hygroscopic polymer for ocean observation
CRU Kumari, S Dhanalakshmi, R Kumar, T Sudhakar
Optical Fiber Technology 53, 102036, 2019
302019
Deep learning model for prediction of progressive mild cognitive impairment to Alzheimer’s disease using structural MRI
BY Lim, KW Lai, YC Hum, S Dhanalakshmi, X Wu, X Zuo
Frontiers in Aging Neuroscience 14, 2022
292022
Underwater image restoration based on diffraction bounded optimization algorithm with dark channel prior
A Mathias, S Dhanalakshmi
Optik 192, 162925, 2019
282019
Multiple sub-filter adaptive noise canceller for fetal ECG extraction
JDK Abel, S Dhanalakshmi, R Kumar, SP Kumar
Procedia Computer Science 165, 182-188, 2019
262019
Conventional Machine Learning and Deep Learning in Alzheimer's Disease Diagnosis using Neuroimaging: A Review
Z Zhao, JH Chuah, KW Lai, CONN CHOW, M Gochoo, S Dhanalakshmi, ...
Frontiers in Computational Neuroscience 17, 10, 2023
252023
Enhancing Sensitivity of Fiber Bragg Grating-Based Temperature Sensors through Teflon Coating
S Dhanalakshmi, AVS Kesarikiran, V Chakravartula, CRU Kumari, ...
Wireless Personal Communications 110 (2), 593-604, 2020
252020
T-count optimized quantum circuit designs for single-precision floating-point division
SS Gayathri, R Kumar, S Dhanalakshmi, G Dooly, DB Duraibabu
Electronics 10 (6), 703, 2021
222021
Automated restricted Boltzmann machine classifier for early diagnosis of Parkinson’s disease using digitized spiral drawings
M Thakur, S Dhanalakshmi, H Kuresan, R Senthil, R Narayanamoorthi, ...
Journal of Ambient Intelligence and Humanized Computing 14 (1), 175-189, 2023
202023
Systematic review on COVID-19 readmission and risk factors: future of machine learning in COVID-19 readmission studies
WK Loo, S Dhanalakshmi, KW Lai
Frontiers in public health, 1311, 2022
202022
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Articles 1–20