Publications

https://scholar.google.com/citations?user=ccWg0CYAAAAJ&hl=en

Jisha Anu Jose, C. Sathish Kumar, and S. Sureshkumar, Region-Based Split Octonion Networks with Channel Attention Module for Tuna Classification, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 36, No. 07, 2250030 (2022).

Deepa, V., Sathish Kumar, C. & Cherian, T. Automated grading of diabetic retinopathy using CNN with hierarchical clustering of image patches by siamese network. Phys Eng Sci Med (2022). https://doi.org/10.1007/s13246-022-01129-z

V. Deepa, C. S. Kumar and T. Cherian, "Pre-Trained Convolutional Neural Network for Automated Grading of Diabetic Retinopathy," 2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT), 2022, pp. 1-5, doi: 10.1109/ICEEICT53079.2022.9768480.

J. A. Jose, C. S. Kumar and S. Sureshkumar, "Automated region split algorithm with pre-trained CNN model for tuna classification," 2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT), 2022, pp. 1-5, doi: 10.1109/ICEEICT53079.2022.9768589.

V. Deepa, C. Sathish Kumar and T. Cherian, Ensemble of multi-stage deep convolutional neural networks for automated grading of diabetic retinopathy using image patches, Journal of King Saud University – Computer and Information Sciences, https://doi.org/10.1016/j.jksuci.2021.05.009

V. Deepa, C. Sathish Kumar and Sheena Susan Andrews. Fusing dual‐tree quaternion wavelet transform and local mesh based features for grading of diabetic retinopathy using extreme learning machine classifier. Int J Imaging Syst Technol. 2021; 1– 13. https://doi.org/10.1002/ima.22573

Jisha Anu Jose, C. Sathish Kumar, S. Sureshkumar, A deep multi-resolution approach using learned complex wavelet transform for tuna classification, Journal of King Saud University - Computer and Information Sciences,
2021, https://doi.org/10.1016/j.jksuci.2021.03.004.

Jisha AnuJose, C. Sathish Kumar, S.Sureshkumar, Tuna classification using super learner ensemble of region-based CNN-grouped 2D-LBP models, Information Processing in Agriculture, Available online 20 January 2021, https://doi.org/10.1016/j.inpa.2021.01.001

Deepthy Mathew, C.Sathish Kumar, K.Anita Cherian, Foliar fungal disease classification in banana plants using elliptical local binary pattern on multiresolution dual tree complex wavelet transform domain, Information Processing in Agriculture-Elsevier, Scopus (In Press), https://doi.org/10.1016/j.inpa.2020.11.002

Jisha Anu Jose, C. Sathish Kumar, and S Sureshkumar, Tuna classification using colour, structure, wavelet, and fuzzy based textural features, 2020 IEEE International Conference for Innovation in Technology (INOCON), Bangluru, 6-8 Nov. 2020. DOI: 10.1109/INOCON50539.2020.9298420

V. Deepa, C. Sathish Kumar and Sheena Susan Andrews, Automated Grading of Diabetic Retinopathy using Local-Spatial Descriptors, Proc. IEEE International Conference on Computing, Power and Communication Technologies (GUCON), Greater Noida, India, Nov 2020, DOI:10.1109/GUCON48875.2020.9231221

Jobin Varghese and C. Sathish Kumar, Robust copy-move forgery detection algorithm using singular value decomposition and discrete orthonormal Stockwell transform, Australian Journal of Forensic Sciences - SCIE journal, https://doi.org/10.1080/00450618.2019.1629018

Jisha Anu Jose and C. Sathish Kumar, Genus and Species-Level Classification of Wrasse Fishes using Multidomain Features and Extreme Learning Machine Classifier, International Journal of Pattern Recognition - SCIE Journal. https://doi.org/10.1142/S0218001420500287

V. Deepa, C. Sathish Kumar, Sheena Susan Andrews, Automated detection of microaneurysms using Stockwell transform and statistical features. IET Image Processing (SCIE Journal), 13(8): 1341-1348 (2019)

Anija Maria Jose, C. Sathish Kumar, V. Deepa, Automated Detection of Microaneurysm using Textural Analysis, Proc. International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT – 2019), Kannur, July 2019. DOI: 10.1109/ICICICT46008.2019.899335

Melvi C.V., Sathish Kumar C., Saji A.J., Varghese J. (2018) Performance Analysis of Wavelet Transform Based Copy Move Forgery Detection. In: Zelinka I., Senkerik R., Panda G., Lekshmi Kanthan P. (eds) Soft Computing Systems. ICSCS 2018. Communications in Computer and Information Science, vol 837. Springer, Singapore

Vidya Prasannan, C. Sathish Kumar, V. Deepa, An Automated Approach for Diagnosing Diabetic Retinopathy in Retinal Fundus Images, Proc. Third IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology, Bengaluru, 18, 19 May 2018

Archa S. P. and C. Sathish Kumar, Segmentation of Brain Tumor In MRI Images Using CNN with Edge Detection, Proc. International Conference on Emerging Trends and Innovations in Engineering and Technological Research- ICETIETR2k18, Ernakulam, 11, 13 July 2018

K. Devi Das, A. J. Saji, and C. Sathish Kumar, Frequency Analysis of gait signals for detection of neurodegenerative diseases. Proc. IEEE International Conference on Circuit Power and Computing Technologies (ICCPCT), Kollam, 2017

M. Sneha Baby, A. J. Saji and C. Sathish Kumar, Parkinson’s Disease Classification using Wavelet Transform based Feature Extraction of Gait Data. Proc. IEEE International Conference on Circuit, Power and Computing Technologies (ICCPCT), Kollam, 2017

Jaison John and C. Sathish Kumar, A Comparative Study of Genetic Algorithm and Particle Swarm Optimization based Optimizations of PID Controller Parameters, International Journal of Soft Computing and Engineering, vol. 4, no.5, pp. 73-76, Nov. 2014

Jaison John and C. Sathish Kumar, “Optimization of PID parameters using Genetic algorithm for hard disk drive read/write head control,” Proc. Int. Conf. Computing, Communication, and Energy Systems (ICCCES-2014), August 8-9, 2014.

R. Kavya and C. Sathish Kumar, CMOS Microelectrode Array: A Review, Proc. National Conf. on Communication and Signal Processing, Idukki, Mar. 26 - 28, 2014

C. M. Juli Janardhanan, C. Sathish Kumar, Performance Analysis of Watermarking on Indian Classical Songs using Lifting Wavelet Transform and Singular Value Decomposition., International Journal of Computer Applications, vol. 83, No.14, pp.18-24, December 2013

C. M. Juli Janardhanan, C. Sathish Kumar, Performance Analysis of Discrete Wavelet Transform based Audio Watermarking on Indian Classical Songs, International Journal of Computer Applications, vol. 73, No.6, pp.15-19, July 2013

C. M. Juli Janardhanan, C. Sathish Kumar, K. R. Reeha, Digital Audio Watermarking Techniques–A Review, Proc. National Conf. Inf. Tech.,Comm., and Signal Processing, Mananthavady, Mar. 2013

C.Sathish Kumar, "Automatic Detection of Wheezes and Crackles using Slantlet Transform," Proc. National Conference on Emerging Trends in Information, Digital & Embedded Systems, Rajampet, July 2012

C. Sathish Kumar, A. Kandaswamy, and Rm. Pl. Ramanathan, “Artificial neural network based classification of lung sounds,” in Proc. National Conf. on Power Conversion and Industrial Control, Palakkad, pp. MCD 7.1 – MCD 7.6, 2005

A. Kandaswamy, C. Sathish Kumar, R. P. Ramanathan, S Jayaraman, N Malmurugan, Neural classification of lung sounds using wavelet coefficients. Comput. Biol. Med. (SCIE, Elsevier Science Publication), 34, 523–537 (2004)

C. Sathish Kumar, A. Kandaswamy, and Rm. Pl. Ramanathan, "Artificial neural network based approach for diagnosis of respiratory system using model based parameters of maximum expiratory flow-volume curve," Biomedical Soft Computing & Human Sciences, Vol. 8, No. 1, pp. 15-20,2002.

C. Sathish Kumar, A. Kandaswamy, and Rm. Pl. Ramanathan,"Optimum variation of breathing under exercise: A study based onChange in Inspiratory Flow and Minimum Work Rate Criterion", Modelling, Measurement and Control: Series C- Chemistry, Geology, Environment and Bioengineering, Vol. 63, No. 4, pp.59-70, 2002

C. Sathish Kumar, A. Kandaswamy, and Rm. Pl. Ramanathan, "A neural network based approach for the evaluation of spirometric reference values," Biomedical Soft Computing & Human Sciences, Vol. 7, No. 1, pp. 27- 32, 2001.