Centre for Healthcare Advancement, Innovation and Research

Research - Publications

2023

  1. Edwin Dhas., Suchetha.“Energy Dependent RLS Architecture for the Separation of Fetal ECG using Thoracic and Abdominal Lead ECG of Mother”, IEEE Transactions on Instrumentation and Measurement, 2023. (IF:5.6)
  2. Sateesh Kumar Reddy, C., Suchetha. “A 1-D CNN-FCM model for the classification of epileptic seizure disorders.” Neural Computing & Applications, Vol.33, pages17871–17881, 2023. (IF: 6.012)
  3. Hari Krishnan S.,Rajiv Raman., Suchetha. “ Comparative performance of deep learning architectures in the classification of diabetic retinopathy.” International Journal of Ad Hoc and Ubiquitous Computing, Vol.44, pages 23-35, 2023. (IF: 0.7)
  4. Rajiv Raman., Suchetha. “The Utility of ChatGPT in Diabetic Retinopathy Risk Assessment: A Comparative Study with Clinical Diagnosis” Clinical Ophthalmology, Vol.17, pages 4021-4031, 2023. (IF:2.2)
  5. Ranjith Kumar Painam., Suchetha. “BEMD-based adaptive Lee filter for despeckling of SAR images” Advances in Space Research, Vol.71, pages 3140-3149, 2023. (IF:2.6)
  6. Suchetha, Raman, Rajiv., Rajalakshmi “Deep learning–based detection of diabetic macular edema using optical coherence tomography and fundus images: A meta-analysis”, Journal of Ophthalmology 71(5): p 1783-1796, May 2023. | DOI: 10.4103/IJO.IJO_2614_22 (IF: 3.012)
  7. Kannan Sridharan., Gaurav Prasanna., Suchetha.  “Computational Structural Validation of CYP2C9 Mutations and Evaluation of Machine Learning Algorithms in Predicting the Therapeutic Outcomes of Warfarin”, Current Drug Metabolism, Vol.24, pages 466-476. (IF:2.3)
  8. Snehith Sankineni., Sathyanarayanan .,Edwin Dhas., Suchetha. “An insight on recent advancements and future perspectives in detection techniques of Parkinson’s disease”, Evolutionary Intelligence, pages 1-17. (IF:2.6)
  9. Ranjith Kumar Painam., Suchetha. “Despeckling of SAR images using BEMD-based adaptive frost filter”, Journal of the Indian Society of Remote Sensing, pages 1879-1890. (IF:2.5)
  10. Ziani, S., Suchetha. “A. Time-scale image analysis for detection of fetal electrocardiogram”. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-023-17165-0, 2023. (IF: 3.6)
  11. Joseph Antony., Suchetha.“Surrounding Vehicle Motion Prediction in non-lane-based environments for ADAS Enhancement”, IEEE Access, Vol.11, pages 120805-120815, 2023. (IF: 3.9)
  12. Raghavan, V. R., Fardeen, S., Nithish, P. V. S., Preethi, S., Dhas, D. E., Suchetha. “Impact of Pairwise Electrode Features in the Classification of Emotions for EEG Signal Analysis”. In Quantum Innovations at the Nexus of Biomedical Intelligencepages 97-109, 2023. (Scopus Indexed)
  13. Sunkari, S.,Raman, R,, Suchetha.” A refined ResNet18 architecture with Swish activation function for Diabetic Retinopathy classification”. Biomedical Signal Processing and Control, 88, 105630, 2023. (IF:5.1)
  14. Zihao Chen, Alex Noel Joseph Raj, Vijayarajan Rajangam, Wei Li, Vijayalakshmi G V Mahesh, Zhemin Zhuang, Twofold Dynamic Attention Guided Deep network and Noise-Aware mechanism for Image Denoising, Journal of King Saud University – Computer and Information Sciences, 35, 2023, pp. 87–102, https://doi.org/10.1016/j.jksuci.2023.02.003, (SCIE, IF: 6.9)
  15. Avudaiammal, Vijayarajan Rajangam, Durai Raji.V and Senthil Kumar, Colour Models Aware Dynamic Feature Extraction for Forest Fire Detection using Machine Learning Classifiers, Automatic Control and Computer Sciences, 2023, Vol. 57, No. 6, pp. 627–637. © Allerton Press, Inc., 2023. (Scopus, ESCI, IF: 0.9)
  16. Chinnathambi, N. Shirahata, M. Kumar, Karthikeyan, K. Abe, V. Thangavel, G.N. Pandian., “ Nano–bio interaction between human immunoglobulin G and nontoxic, near-infrared emitting water-borne silicon quantum dot micelles”., RSC advances,2023, doi: https://doi.org/10.1039/D3RA00552F (IF: 3.9)
  17. Abu, S. Chinnathambi, M. Kumar, F. Etezadi, N.M. Bakhori, Z.A. Zubir, S.N. Md Salleh, R.H. Shueb, S. Karthikeyan, V. Thangavel, J. Abdullah, G.N. Pandian., “Development of biomass waste-based carbon quantum dots and their potential application as non-toxic bioimaging agents”., RSC advances, 2023, doi: https://doi.org/10.1039/D3RA05840A (IF: 3.9)
  18. Karthikeyan, M. Grishina, S. Kandasamy, M. Rajendiran, A. Ramamoorthi, S. Chinnathambi, G. Pandian, L. Kennedy., “A review on medicinally important heterocyclic compounds and importance of biophysical approach of underlying the insight mechanism in biological environment”., Journal of Biomolecular Structure and Dynamics,2023, doi: https://doi.org/10.1080/07391102.2023.2187640 (IF: 4.4)
  19. Karthikeyan, A. Sundaramoorthy, S. Kandasamy, G. Bharanidharan, P. Aruna, R. Suganya, R. Mangaiyarkarasi, S. Ganesan, G.N. Pandian, A. Ramamoorthi, S. Chinnathambi., “A biophysical approach of tyrphostin AG879 binding information in: bovine serum albumin, human ErbB2, c-RAF1 kinase, SARS-CoV-2 main protease and angiotensin-converting enzyme 2”., Journal of Biomolecular structure and Dynamics,2023,doi: https://doi.org/10.1080/07391102.2023.2204368 (IF: 4.4)
  20. Pandian, D. Bai, R. Ziadlou, T. Vaijayanthi, Karthikeyan, S. Chinnathambi, A. Parthasarathy, L. Cai, M.-C. Brüggen, H. Sugiyama., “Nucleic Acid-based Small Molecules as Targeted Transcription Therapeutics for Immunoregulation”., Europe PMC,2023, doi: https://doi.org/10.22541/au.168490475.59419956/v1 (IF: 12.4 )
  21. El Bakri, S. Karthikeyan, C. Lai, E. Bakhite, I. Ahmad, A. Abdel-Rahman, S. Abuelhassan, I. Marae, S. Mohamed, J. Mague.,“ New tetrahydroisoquinoline-4-carbonitrile derivatives as potent agents against cyclin-dependent kinases, crystal structures, and computational studies”.,Journal of Biomolecular Structure and Dynamics,2023, doi: https://doi.org/10.1080/07391102.2023.2224899 (IF: 4.4)
  22. K. Mohamed, Y. El Bakri, A.M. Alfayomy, S. Karthikeyan, K. Saravanan, S.A. Abdel-Aziz, S.M. Abou-Seri, F.A.F. Ragab, J.T. Mague, M. Aboelmagd., “Insights into the crystal structure and computational studies of newly synthesized thiazolopyrimidine derivatives against adenosine receptor (Thermostabilised HUMAN A2a)”., Journal of Molecular Structure,2023, doi: https://doi.org/10.1016/j.molstruc.2023.135372 (IF: 3.8)
  23. Mohamed, F. Stellato, Y. El Bakri, S. Mohamed, A. Ahsin, S. Karthikeyan, S. Abuelhassan, A. Abdel-Rahman, I. Marae, E. Bakhite, J. Mague, R. Al-salahi., Synthesis, Crystal Growth, and Computational Investigation of New Tetrahydroisoquinoline Derivatives Potent against Molecule Nitric Oxide Synthases”., Crystals,2023,doi:https://doi.org/10.3390/cryst13081161 (IF: 2.7)
  24. El Bakri, M. Kurbanova, S.A. Siddique, S. Karthikeyan, A. Maharramov, N. Ramazanzade., “Synthesis, virtual screening, and computational approach of 6-(4-metoxyphenyl)-4-phenyl-1,2-dihydropyrimidin-2-one as a potential target for thioredoxin glutathione reductase (TGR)”.,Journal of Molecular Structure,2023, doi: https://doi.org/10.1016/j.molstruc.2023.135623 (IF: 3.8)
  25. K. Mohamed, S. Karthikeyan, E. Khamies, A. Ahsin, E. Bakhite, I. S. Marae, T. I. El-Emary, J.T. Mague, A. I. Said, R. Al-Salahi, Y. El Bakri ., “Synthesis, structural and X-ray analysis evaluations and computational studies of newly tetrahydroisoquinoline derivatives as potent against microsomal prostaglandin E synthase 1”.,Journal of Biomolecular Structure and Dynamics,2023,doi: https://doi.org/10.1080/07391102.2023.2272745 (IF: 4.4)
  26. El Bakri, S.K. Mohamed, A. Ahsin, Karthikeyan, S. Abuelhassan, A.E. Abdel-Rahman, I.S. Marae, E.A. Bakhite, J.T. Mague, R. Al-Salahi., “Synthesis, crystal structure investigation, Hirshfeld and DFT studies of newly synthesized dihydroisoquinoline derivatives., Arabian Journal of Chemistry,2023,doi: https://doi.org/10.1016/j.arabjc.2023.105294 (IF: 6)
  27. K. Mohamed, S. Karthikeyan, E.A. Bakhite, C.-H. Lai, S. Abulhassan, I.S. Marae, R. Al-Salahi, S.A.H. Al-Waleedy, J.T. Mague, Y. El Bakri,., “ Synthesis, crystal structure characterization and computational investigation of new thieno[2,3-b]pyridine derivatives as potent against molecule p38 alpha MAP kinase”.,Journal of Molecular Structure.,2023,doi: https://doi.org/10.1016/j.molstruc.2023.136475 (IF: 3.8)
  28. Anjila P.K, G.R. Tharani, A. Sundaramoorthy, V. Kumar Shanmugam, K. Subramani, S. Chinnathambi, G.N. Pandian, V. Raghavan, A.N. Grace, S. Ganesan, M. Rajendiran, An ultra-sensitive detection of Melamine in milk using Rare-earth doped Graphene Quantum Dots- Synthesis and Optical Spectroscopic approach, Microchemical Journal.,(2023) , doi: https://doi.org/https://doi.org/10.1016/j.microc.2023.109670 (IF: 4.8).
  29. R. Khan, M.S. Khan, R. Manoharan, S. Karthikeyan, K. Alhosaini, H.A.M. Odeibat, M.D.I. Ahmad, M. Al-Okail, N. Al-twaijry, Inhibitory Potential of Carnosine and Aminoguanidine Towards Glycation and Fibrillation of Albumin: In-vitro and Simulation Studies, Journal of Fluorescence., (2023). doi: https://doi.org/10.1007/s10895-023-03485-9 (IF: 2.7).
  30. Solanki, A. Kumar, M.S. Khan, S. Karthikeyan, R. Atre, K.Y.J. Zhang, E. Bezsonov, A.G. Obukhov, M.S. Baig, Novel peptide inhibitors targeting CD40 and CD40L interaction: A potential for atherosclerosis therapy, Current Research in Structural Biology., (2023) .doi: https://doi.org/https://doi.org/10.1016/j.crstbi.2023.100110 (IF: 2.8).
  31. F. Mohamed Ibrahim, R. Manoharan, B.S. Leon, N. Alanthata Govindan, K. Subramani, Understanding the binding interaction mechanism of i-motif with fluorophores: A biophysical approach, Chemical Physics Impact., (2023) ,doi: https://doi.org/https://doi.org/10.1016/j.chphi.2023.100370 (IF: 2.2)
  32. Priyadharshini, C., Selvendran, S., Sivanantha Raja, A. et al. A highly birefringent and compact nonlinear photonic crystal fiber for next-generation optical fiber applications: design and investigation. Optical and Quantum Electronics (springer), 55, 916 (2023). https://doi.org/10.1007/s11082-023-05051-w. (IF:3.0)
  33. Itapu, S., Borra, V. & Selvendran, S. Microstructuring of cobalt (Co) thin films by UV laser irradiation. Phys. A (springer), 129, 864 (2023). https://doi.org/10.1007/s00339-023-07147-2. (IF:2.7)
  34. Geerthana, S., T. Sridarshini, S. Syedakbar, S. Nithya, R. Balaji, Arun Thirumurugan, and Shanmuga Sundar Dhanabalan. “A novel 2D-PhC based ring resonator design with flexible structural defects for CWDM applications.” Physica Scripta 98, no. 10 (2023): 105975.DOI 10.1088/1402-4896/acfa43 (IF:2.9)
  35. Balaji, V. R., MA Ibrar Jahan, T. Sridarshini, S. Geerthana, Arun Thirumurugan, Gopalkrishna Hegde, R. Sitharthan, and Shanmuga Sundar Dhanabalan. “Machine learning enabled 2D photonic crystal biosensor for early cancer detection.” Measurement .(DOI:https://doi.org/10.1016/j.measurement.2023.113858) (IF:5.6)

2022

  1. E, Suchetha M., “Extraction of Fetal ECG from Abdominal and Thorax ECG using a Non-Causal Adaptive Filter Architecture”., IEEE Transactions on Biomedical circuits and systems,2022, doi: 10.1109/TBCAS.2022.3204993 (IF: 5.523)
  2. Y. Philip, M. Razaak, Suchetha. M, M. O’Kane and B. K. Pierscionek, “A Data Analytics Suite for Exploratory Predictive, and Visual Analysis of Type 2 Diabetes,” in IEEE Access, vol. 10, pp. 13460-13471, 2022, doi: 10.1109/ACCESS.2022.3146884 (IF: 3.476)
  3. , Suchetha M., “Dual Phase Dependent RLS filtering approach for Baseline Wander Removal in ECG Signal Acquisition”., Journal of Biomedical Signal Processing and Control, vol. 77, 2022https://doi.org/10.1016/j.bspc.2022.103767 (IF: 5.88)
  4. , Suchetha M, “A Deep neural network for the classification of epileptic seizures using hierarchical attention mechanism” , Soft Computing , 2022, https://doi.org/10.1007/s00500-022-07122-8(IF: 3.732)
  5. Ranjith Kumar Painam, Suchetha., “BEMD Based Adaptive Lee Filter for Despeckling of SAR Images”, Journal of Advances in Space Research, Dec 2022,https://doi.org/10.1016/j.asr.2022.12.009(IF: 2.611)
  6. Sateesh Kumar Reddy., Suchetha, “An optimized machine learning algorithm for classification of epileptic seizures using EMD-based dynamic features of EEG”, Int. J. Ad Hoc and Ubiquitous Computing, Vol. 40, No.1,pp.127-138 (IF: 0.82)
  7. Ranjith Kumar Painam, Suchetha., “Despeckling of SAR Images Using BEMD-Based Adaptive Frost Filter”, Journal of the Indian Society of Remote Sensing, ttps://doi.org/10.1007/s12524-022-01495, 2022 (IF: 2.58)
  8. , Suchetha, “A novel optimised apnea classification with AA-CNN method by utilising the EDR and ECG features ”, Int. J. Ad Hoc and Ubiquitous Computing,Vol. 41,no.1 pp. 58-67 (IF: 0.82)
  9. , Suchetha, “Optimized CNN Model with Derived Kernels for Apnea Classification Application”, ECTI Transactions on Computer and Information Technology, Vol.16, No.3, September 2022 (Scopus indexed)
  10. Vijayarajan Rajangam, D. Kandikattu, Utkarsh, M. Kumar and A. N. J. Raj, “Texture Aware Deep Feature Map Based Linear Weighted Medical Image Fusion,” IEEE Access, vol. 10, pp. 88787-88797, 2022, doi: 10.1109/ACCESS.2022.3200752. (IF: 3.476)
  11. Vijayarajan Rajangam., Sangeetha, N. and Mallikarjuna, K. (2022) ‘Thresholding-based decision map for CT-MRI fusion in wavelet domain’, Int. J. Intelligent Systems Technologies and Applications, Vol. 20, No. 5, pp.383–393, Aug 2022, DOI: 10.1504/IJISTA.2022.10050326. (Scopus indexed)
  12. Manikandan R and Gargi Raina, “Hydrothermally synthesized 2H-MoS2 under optimized conditions– A structure and morphology analysis”, Scr.97 (2022) 125808 https://doi.org/10.1088/1402-4896/ac9d6f, (IF: 3.081).
  13. Natarajan, R., Matai, H.D., Raman, S., Swaminathan, S., Alex, J.S., Advances in the diagnosis of herpes simplex stromal necrotising keratitis: A feasibility study on deep learning approach Indian Journal of Ophthalmology, 2022, 70(9), pp. 3279–3283 (IF: 2.969).
  14. Aklak, AF, Pugazhenthi, MY,Alex, JSR. A study on VLSI implementation of image enhancement techniques. Concurrency Computat Pract Exper. 2021. (IF: 1.831).

2021

  1. Sathiyamoorthi V.,, Ravishankar, T. N., Ilavarasi A. K.,, Udayakumar, S., Harimoorthy, K., Jayapandian N.,, & Saravanan V.,. (2021). Usage Data for Predicting User Trends and Behavioral Analysis in E-Commerce Applications. International Journal of Information Systems in the Service Sector (IJISSS), 13(4), 40-61. http://doi.org/10.4018/IJISSS.2021100103
  2. Suchetha. M, Soorna meena, Madhumita., “Sequential Convolutional Neural Networks for Classification of Cognitive Tasks from EEG Signals”, Journal of Applied soft computing., Volume 111, November 2021 (Impact factor: 6.725)
  3. , Krity., Suchetha, “Deep learning architecture based on segmented fundus image features for classification of diabetic retinopathy”, Journal of Biomedical Signal Processing and Control ,Vol.68, No.6, pp.575-585, July 2021. (Impact factor: 3.88)
  4. M., Ganesh, N.S., Raman, R. et al. Region of interest-based predictive algorithm for subretinal hemorrhage detection using faster R-CNN. Soft Comput 25, 15255–15268 (2021). https://doi.org/10.1007/s00500-021-06098-1 (Impact factor: 3.643)
  5. S Dharaskar, K Desai, Kiran Kumar Tadi, M Sillanpää, “Synthesis, Characterization and Application of Trihexyl (Tetradecyl) Phosphonium Bromide as a Promising Solvent for Sulfur Extraction from Liquid Fuels” Industrial & Engineering Chemistry Research, 2021, 60, 16769-16779 https://doi.org/10.1021/acs.iecr.1c02169 (IF = 3.72)
  6. Penchalaiah Palla, Hasan Raza Ansari, Gargi Raina and Weiping Wu, “Improved logic performance with semiconducting graphene nano mesh double gate field effect transistor”, J. Nanotechnol.,Vol. 18, Nos. 5/6/7/8, pp 751- 762, 2021. DOI 10.1504/IJNT.2021.116187 (I.F. 0.367)
  7. N Sowmya, John Sahaya Rani Alex, S Sathiyanarayanan, Smart Manufacturing Plant Implementation Using Industrial IoT, Journal of Advanced Manufacturing Systems,2021, pp. 1-13 (Scopus Indexed)
  8. Shuxin Zhuang, Fenlan Li, Zhemin Zhuang, Wenbin Rao, Alex Noel Joseph Raj, Vijayarajan Rajangam, “Improved ECG-Derived Respiration Using Empirical Wavelet Transform and Kernel Principal Component Analysis”, Computational Intelligence and Neuroscience, vol. 2021, Article ID 1360414, https://doi.org/10.1155/2021/1360414 (Hindawi, IF: 3.633)
  9. Aklak, AF, Pugazhenthi, MY, Alex, JSR. A study on VLSI implementation of image enhancement techniques. Concurrency Computat Pract Exper. 2021;e6734. doi:1002/cpe.6734 (IF:1.536)
  10. Bhagya., M.Suchetha., “A 1-D Deformable Convolutional Neural Network for the quantitative analysis of Capnographic Sensor,” IEEE SENSORS Journal ,Volume: 21, Issue: 5 On Page(s): 6672-6678, Mar 2021 [IF: 3.076]
  11. Navaneeth Bhaskar., M.Suchetha., “Time Series Classification based Correlational Neural Network with Bidirectional LSTM for Automated Detection of Kidney Disease”., IEEE SENSORS Journal, Volume: 21, Issue: 4, Feb 2021 [IF: 3.076]
  12. D. Jude Hemanth, V. Rajinikanth,, Vaddi Seshagiri Rao, Samaresh Mishra, Naeem M. S. Hannon, R. Vijayarajan, S. Arunmozhi, Image fusion practice to improve the ischemic-stroke-lesion detection for efficient clinical decision making, Evolutionary Intelligence, March 2021, DOI: 10.1007/s12065-020-00551-0 (Scopus Indexed)
  13. Palani Thanaraj Krishnan, Alex Noel Joseph Raj, Vijayarajan Rajangam, Emotion classification from speech signal based on empirical mode decomposition and non-linear features, Complex & Intelligent Systems, Feb 2021, DOI: 10.1007/s40747-021-00295-z. [IF: 3. 791]
  14. Sathiyamoorthi, V., A. K. Ilavarasi, K. Murugeswari, Syed Thouheed Ahmed, B. Aruna Devi, and Murali Kalipindi. “A deep convolutional neural network based computer aided diagnosis system for the prediction of Alzheimer’s disease in MRI images.” Measurement 171 (2021):108838.( https://doi.org/10.1016/j.measurement.2020.108838) [IF: 3.364]
  15. Athar, Afaf, and A. K. Ilavarasi. “A Comparative study of machine learning models for breast cancer prediction.” In Journal of Physics: Conference Series, vol. 1716, no. 1, p. 012052. IOP Publishing, 2021. (Scopus Indexed)
  16. Joseph, A., Kiran Kumar Tadi., K.S. Anju, P. M. Aneesh “Structural, optical, magnetic and electrochemical properties of hydrothermally synthesized WS2 nanoflakes” Journal of Materials Research (2021). https://doi.org/10.1557/s43578-020-00103-3. [IF = 2.50]
  17. Piyush Singh, Abhishek Verma, John Sahaya Rani Alex, “Disease and pest infection detection in coconut tree through deep learning techniques” ,Computers and Electronics in Agriculture 182 (105986), ISSN 0168-1699 https://doi.org/10.1016/j.compag.2021.105986., 2021, [ IF: 5.565]
  18. Shalaka Jagtap and John Sahaya Rani Alex “Anomaly detection of fundus images” In Journal of Physics: Conference Series, vol. 1716, no. 1, p. 012052. IOP Publishing, doi:10.1088/1742-6596/1716/1/012044 , 2021 (Scopus Indexed)
  19. Vijayalakshmi G V Mahesh, Chengji Chen, Vijayarajan Rajangam, Alex Noel Joseph Raj, and Palani Thanaraj Krishnan, Shape and Texture Aware Facial Expression Recognition using Spatial pyramid Zernike moments and Law’s Textures Feature Set, IEEE Access, 2021, DOI: 10.1109/ACCESS.2021.3069881 [IF:3.745]
  20. Ruban Nersisson, Tharun J Iyer, Alex Noel Joseph Raj, Vijayarajan Rajangam, A Dermoscopic Skin Lesion Classification Technique using YOLO-CNN and Traditional Feature Model, Arabian Journal of Science and Engineering, 2021. DOI: 10.1007/s13369-021-05571-1 [IF: 1.711]
  21. Ranjith., M.Suchetha., “A comprehensive review of SAR image filtering techniques: systematic survey and future directions”, Arabian Journal of Geosciences., Volume: 14, Issue: 37, 2021 [IF: 1.665]
  22. Mohith., M.Suchetha., “Design of Area Efficient Filter Bank for Digital Hearing Aids” , Journal of Physics: Conference Series, Volume: 1716, Issue: 1,2021 (scopus indexed )

2020

  1. Suchetha., Deepika., Nada Philip., “Variational Mode Decomposition Based Retinal Area Detection and Merging of Super pixels in SLO Image” Current Signal Transduction Therapy, 2020, vol.14, pp.1-13. (Scopus Indexed)
  2. Athanasiou, K. Tadi, M. Hurevich, S. Yitzchaik, A. Jesorka, Z. Kankoli “On Sensing Principles Using Temporally Extended Bar Codes” IEEE Sensors, 2020, 20, 6782-2791(IF = 3.30)
  3. John Sahaya Rani Alex, Haque, M.A., Anand, A., Gautam, A., Venkatesan, N.“A deep learning approach for robotic arm control using brain-Computer interface”, International Journal of Biology and Biomedical Engineering, 2020, 14, pp. 128–135(Scopus Indexed)
  4. S.Lekha.,M.Suchetha., “Recent Advancements and Future Prospects on E-Nose Sensors Technology and Machine Learning Approaches for Non- Invasive Diabetes Diagnosis: A Review”, IEEE Reviews in Biomedical Engineering,2020 (DOI: 10.1109/RBME.2020.2993591) [IF: 6.180]
  5. Navaneeth., M.Suchetha., “A Dynamic Pooling based Convolutional Neural Network Approach to Detect Chronic Kidney Disease” Journal of Biomedical Signal processing and control, Vol.62, Sep 2020 (https://doi.org/10.1016/j.bspc.2020.102068) [IF: 3.137]
  6. V. Athanasiou, K. K. Tadi, M. Hurevich, S. Yitzchaik, A. Jesorka, Z. Kankoli, “On sensing principles using temporally extended bar codes”, IEEE Sensors, 2020, 20, 6782-2791 [IF-3.076]
  7. Bhagya., M.Suchetha., “A Capnographic Sensor using Acoustic Virial Equation for diagnostic applications” IEEE SENSORS Letters ,Vol.4,Issue:8, Aug 2020. [IF: 3.076]
  8. Joseph Antony., M.Suchetha., “Expanding vision-based ADAS for non- structured environments” IET Intelligent Transport Systems.,vol.14,Issue:6, 2020 [IF: 2.480]
  9. Jacob, G., Raina, G. “Efficient surface plasmon propagation on flexible free-standing and PMMA sandwiched graphene at optimized near to far-IR frequencies”, Bull Mater Sci 43, 256 (2020). https://doi.org/10.1007/s12034-020-02226-z [IF: 1.783]
  10. Navaneeth Bhaskar., M.Suchetha., “A Computationally efficient correlational neural network for automated prediction of chronic kidney disease”., Journal of Innovation and Research in Biomedical Engineering, 2020 (doi.org/10.1016/j.irbm.2020.07.002), [IF: 1.022]
  11. Avudaiammal, R., Elaveni, P., Selvan, S, Vijayarajan R. “Extraction of Buildings in Urban Area for Surface Area Assessment from Satellite Imagery based on Morphological Building Index using SVM Classifier”. J Indian Soc Remote Sens (Sep 2020). https://doi.org/10.1007/s12524-020-01161-0 [ IF: 0.997]
  12. Navaneeth Bhaskar., M.Suchetha., “Analysis of salivary components as non-invasive biomarkers for monitoring chronic kidney disease”., International Journal of Medical Engineering and Informatics, Vol.12 No.2, pp.95 – 107, April 2020 [IF: 0.9]
  13. Navaneeth Bhaskar, M.Suchetha., “Analysis of Salivary Components as Non-invasive Biomarkers for Monitoring Chronic Kidney Disease” , International Journal of Medical Engineering and Informatics Vol.12 No.2, pp.95 – 107 ,2020

2019

  1. Bhagya., M.Suchetha., “Design and development of low cost Speed of sound based non-invasive MEMS Biosensor for Capnography as a diagnostic tool”, ”, IEEE SENSORS Journal, Vol. 19, No. 19, Oct. 1, 2019 [IF: 3.076]
  2. Navaneeth Bhaskar, Suchetha., “PSO optimized 1-D CNN-SVM architecture for real-time detection and classification applications”., International Journal of Computers in Biology and Medicine, Volume 108, May 2019, Pages 85-92 [IF: 3.434]
  3. Navaneeth Bhaskar, Suchetha., “A Deep-Learning-Based System for Automated Sensing of Chronic Kidney Disease”, IEEE Sensors Letters., Volume: 3 , Issue: 10 , Oct. 2019. [IF: 3.076]
  4. Suchetha., Kumaravel.N.,“IoT based Low Power Wearable ECG Monitoring System “.,Journal of Current signal Transduction Therapy, Volume 14 , Issue 1 , 2019
  5. George Jacob, Gargi Raina, “Frequency Dependent Graphene Surface Plasmon Properties on Different Dielectrics”, International Journal of Recent Technology and Engineering, Vol 8, Issue 3, pp 6447 – 6449, 2019
  6. Sam Baskar, R. Pratibha Nalini, Gargi Raina, “A Comparative Analysis on Process Dependent Structural and Optical Properties of Si-Rich Silicon Carbide Thin Films” International Journal of Engineering and Advanced Technology (IJEAT) ,Volume-8 Issue-5, pp787- 791. 2019
  7. John Sahaya Rani Alex, Nithya Venkatesan, “Robust optimal sub-band wavelet cepstral coefficient method for speech recognition” International Journal of Computer Aided Engineering and Technology, 11 (2), pp. 163-173. 2019
  8. Sowmya, N., Alex, J.S.R., Sathiyanarayanan, S., “Real-time supervision of manufacturing plant using IIoT”, International Journal of Innovative Technology and Exploring Engineering, 8 (6), pp. 307-310,2019
  9. Sharma, A., Alex, J.S.R.,”Wavenet based speech recognition system on an embedded board”, International Journal of Recent Technology and Engineering, 7 (6), pp. 923-927 ,2019

2018

  1. S.Lekha.,M.Suchetha., “Real-Time Non-Invasive Detection and Classification of Diabetes using Modified Convolution Neural Network”, IEEE Journal of Biomedical and Health Informatics, Vol. 10, No.99, 2018 [IF: 5.223]
  2. S. Lekha ., Suchetha.M., “A Novel 1-D Convolution Neural Network with SVM Architecture for Real-Time Detection Applications”, IEEE Sensors Journal, Vol. 3, No. 99, 2018 [IF: 3.076]

2017

  1. Smruthy.,M.Suchetha., “Real-Time Classification of Healthy and Apnea Subjects Using ECG Signals with Variational Mode Decomposition”, IEEE Sensors Journal, Vol. 17, No. 10, 2017 [IF: 3.076] (Listed in Top 50 most popular articles)
  2. Lekha.,M.Suchetha., “Mathematical Modeling and Simulation Analysis of a Modified Butterworth van Dyke Circuit Model for Non-Invasive Diabetes Detection”, IET circuits, devices and systems Volume: 11 , Issue: 6 , 11 2017 [IF: 1.290]
  3. Lekha.,M.Suchetha., “Non-invasive detection of diabetes from breath: A Literature review”, International Journal of Biomedical Engineering and Technology, Int. J. Biomedical Engineering and Technology, Vol. 24, No. 1, 2017 [IF: 0.397]
  4. Suchetha, M., N., “A Novel Approach for the Reduction of 50Hz Noise in Electrocardiogram using Variational Mode Decomposition” International Journal of Current Signal Transduction Therapy, Vol.12, No.1,April 2017, pp: 39-48.
  5. Suchetha, M., Kumaravel, N., Saravana Kumar “A comparative analysis of EMD based filtering methods for 50 Hz noise cancellation in ECG signal”, Journal of Medical Informatics unlocked, vol. 8,1, Jan 2017, pp: 54-59.
  6. John Sahaya Rani Alex, Nithya Venkatesan, “Modified Multivariate Euclidean Dynamic Time Warping Based Spoken Keyword Detection”, International journal of intelligent engineering systems, (2017) 10(5) pp.172-180
  7. Purvika Kalkar and John Sahaya Rani Alex, “FPGA Implementation of a Variable Leaky LMS Adaptive Algorithm” -Asian Journal of Pharmaceutical and Clinical Research (2017) 10 69-72
  8. Mitali bhojwani and John Sahaya Rani Alex , “FPGA Implementation of the Dynamic Time Warping algorithm for Speech Recognition” – Asian Journal of Pharmaceutical and Clinical Research (2017) 10 348-351 72

2016

  1. G. Sangeetha., M.Suchetha., “Performance of M-ary quadrature amplitude modulation -based orthogonal frequency division multiplexing for free space optical Q1 transmission”, IET Optoelectronics, vol.01, No.07, 2016. [IF: 1.742]
  2. Gargi Raina, Thavasiappan Gowthami, Gopal Tamilselvi, “Effect of the Formation of Ambient Ice-like Water Ad- Layers at the Interface of Different Layer Graphene on SiO2/ Si and Si Substrates”, Indian Journal of Science and Technology, 9, 48, (2016), pp 001-005.
  3. Lekha.,M.Suchetha., “Non- invasive technique using breath analysis for detection and classification of diabetes”, International Journal of Engineering and Technology,vol.4, No. 3, 2016.
  4. Deepika.,M.Suchetha., “A feature based detection method using segmented MRI images for Alzheimers disease diagnosis”, Journal of Chemical and Pharmaceutical sciences, Vol.09, No.01, 2016, pp. 506-509.
  5. Dayanandha.,M.Suchetha., “Dual AGC model based implementation of auditory nerve”, Journal of Chemical and Pharmaceutical sciences”, Vol.09,No.01,2016,pp.494-497.
  6. Puja Ramesh Chaudhari and John Sahaya Rani Alex, “Low Power, Small Foot Print Embedded Voice Biometrics System” Pakistan Journal of Biotechnology (2016) 13 121-124
  7. Puja Ramesh Chaudhari and John Sahaya Rani Alex,” Selection of Features for Emotion Recognition from Speech” Indian Journal of Science and Technology (2016) 9(39)

2015

  1. Thavasiappan Gowthami, Gopal Tamilselvi, George Jacob and Gargi Raina, “The role of ambient ice-like water adlayers formed at the interfaces of graphene on hydrophobic and hydrophilic substrates probed using scanning probe microscopy”, Phys. Chem. Chem. Phys., 17, 13964-13972, 2015, [IF:4.493]
  2. Dutt, A., Godavarthi, S., Matsumoto, Y., Santana-Rodríguez, G., Avil, A., Sánchez, V., Raina Gargi. “Hw-CVD deposited nanocrystalline silicon thin films at low substrate temperature with white-blue luminescence” (2015),Current Nanoscience, 11 (5), pp. 621-626. [IF.: 0.505]
  3. Deepika.,M.Suchetha., “MRI Image Fusion Method based on Classification of BEMD Components”, International Journal of Applied Engineering Research, vol.10, No.17, 2015.
  4. Nitin Sinha, John Sahaya Rani Alex,” IoT Based iPower Saver Meter”, Indian Journal of Science and Technology (2015) 8(19)
  5. Tanay Mayankbhai Modi, Patel Hardik Anilkumar and John Sahaya Rani Alex,” Low Complexity DWT Architecture Implementation for Feature Extraction using Different Multipliers, Indian Journal of Science and Technology (2015) 8(21)
  1. John Sahaya Rani Alex, Thalkari Sanket Shivkumar and Nithya Venkatesan , “Adapted DTW joint with wavelet transform for isolated digit recognition “,ARPN Journal of Engineering and Applied Sciences (2015) 10(1) 1-7
  2. John Sahaya Rani Alex, Ajinkya Sunil Mukhedkar and Nithya Venkatesan,” Performance Analysis of SOFM based Reduced Complexity Feature Extraction Methods with back Propagation Neural Network for Multilingual Digit Recognition”, Indian Journal of Science and Technology (2015) 8(19)

2013- 14

  1. Gowthami T., Kurra N., Raina G., “Interaction and dynamics of ambient water adlayers on graphite probed using AFM voltage nanolithography and electrostatic force microscopy”, Nanotechnology25 (15), 155304, (2014). [I.F.: 3.672]
  2. M.Suchetha., “Detection and Classification of Premature Ventricular Contraction using Cross Wavelet Transform” International Journal of P2P Network Trends and Technology, Vol.7,Apr. pp. 8-11, 2014.
  3. John Sahaya Rani Alex, Nithya Venkatesan, “Modified MFCC Methods Based on Kl- Transform And Power Law For Robust Speech Recognition”, Journal of Theoretical and Applied Information Technology(2014) ,67 (2), pp. 527-532
  4. John Sahaya Rani Alex, Nithya Venkatesan, ” Spoken Utterance Detection Using Dynamic Time Warping Method Along With a Hashing Technique,” International Journal of Engineering and Technology (IJET)(2014) 6(2), pp 1100-1108
  5. Raina G., “Atomic Force Microscopy as a Nanometrology Tool: Some Issues and Future Targets”, Mapan – Journal of Metrology Society of India, 28 (4), 311, (2013). [IF.: 0.477]
  6. Gowthami T., Gadhewal M., Raina G., “Study of stability of local anodic oxidation on HOPG and few layer graphene using AFM in ambient”, IEEE Transactions on Nanotechnology, 12 (6), 1002-1006, (2013). [IF:1.619]