BOOKS
R.Suganya, S.Rajaram, “Classification of US liver images using Machine learning Techniques”, LAMBERT Academic Publishing, Germany,
ISBN: 978-3-659-59651-3,Germany. 2014.
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R.Suganya, S.Rajaram, A.Sheik Abdullah, “Big Data in Medical Image Processing”, CRC Press, Taylor & Francis Group
ISBN: 9781138557246 – CAT# K43320, Published on Jan 31, 2018.
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BOOKS CHAPTERS
C. Karpagavalli, R.Suganya, DDoS Attack Detection in IoT Environment Using Crystal Optimized Deep Neural Network, published in Springer- International Conference on Artificial Intelligence of Things
ICAIoT 2023,pp 18-36, Dec 2023
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R.Suganya, Seyed M Buhari, S. Rajaram, Different application and Digital Twin Technology published in Springer 2023
Print ISBN:9781119842200 |Online ISBN:9781119842316 |DOI:10.1002/9781119842316
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Mohamed Mansoor Roomi S, R.Suganya, Role of IoT in Entrepreneurship in Innovative Entrepreneurship
2022
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Suganya Ramamoorthy, S.Sujatha, Security Protocol for Cloud-Based Communication in book Design and Analysis of Security Protocol for Communication
Feb 2020, Wiley online library
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R.Suganya, S.Rajaram, M.kameswari, A Literature Review on Thyroid Hormonal Problems in women using Data science and Analytics: Healthcare Applications
submitted to Handbook of Research on Engineering, Business, and Healthcare Applications of publications under production.
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A.Sheik Abdullah, S.Selvakumar, A.M.Abirami, R.Parkavi, R.Suganya, “Big Data Analytics in Healthcare Sector”, for the book Machine Learning Techniques for Improved Business Analyics, IGI Global
DOI: 10.4018/978-1-5225-3534-8.ch005
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A.Sheik Abdullah, S.Selvakumar, R.Parkavi, R.Suganya, M.Venkatesh, “An Introduction to Survival Analytics, Types and Its Applications”, Biomechanics, Intech Open Publishers, UK
DOI: intechopen.80953,2019
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R.Vinodhini, R.Suganya, S.Karthiga, G.Priyanka, “Literature Survey on DNA sequence by using Machine learning algorithms and Image registration technique”, in Advances in Data and Information Sciences, 2019
Springer Nature Singapore Pvt Ltd. Pp.55-63. Lecture Notes in Networks and Systems book series (LNNS, Volume 39)
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R.Vinodhini, R.Suganya, “Identification of cyst present in ultrasound PCOS using Discrete wavelet transform” in International Conference on ISMAC in Computational vision and Bio- Engineering 2018
(ISMAC-CVB), Verlag: Springer International Publishing
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R.Suganya & S.Karthiga, “Importance of Big Data and Hadoop in E-Servicing”, E- Manufacturing and E-Service Strategies in Contemporary Organizations, IGI GlobalPublishers
DOI: .March 14 th 2018. 10.4018/978-1-5225-3628-4.ch002. A volume in the Advances in E-Business Research (AEBR) Book Series
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R.Suganya & S.Rajaram“Applying Big Data Analytics in Bioinformatics and Medicine”,Image Processing including Medical Liver Imaging: Medical Image Processing from Big data Perspective, Ultrasound liver images, Challenge
(011216-120742) IGI Global Publishers, 2017
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A.Sheik Abdullah, R.Suganya, Selvakumar, S.Rajaram“Hand book of Research on Advanced Data Mining Techniques and Applications for Business Intelligence” Chapter 3: Data Classification: Its Techniques and Big Data
IGI Global Publisers.2016
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RESEARCH PUBLICATIONS (PEER-REVIEWED JOURNALS)
R.Suganya, Girish H. Subramanian, Mr. Sabari Nathan, Prof. Mansoor Roomi S, Mr. Amuthalingeswaran C, “Real-time Military Target Detection and Recognition in Complex Environments with Mask R-CNN in International Journal of Business Information Systems
(Under production) Submission code: IJBIS-165926
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Participated and published in 8 th Sclera Segmentation and Joint Recognition Benchmarking Competition: SSRBC 2023, Sabarinathan D, Ram Priya RS and R.Suganya, IEEE 2023 International Joint Conference on Biometrics
Submission (233) CameraReady-233.pdf (uni- lj.si)
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S.Koteeswaran, R.Suganya, Chellammal S, E.A, Neeba, A.Suresh, Pethuru Raj Chelliah, Seyed M Buhari, A Supervised Learning approach for the influence of comorbidities in the analysis of COVID -19 mortality in Tamil Nadu”
published in Soft Computing, June 2023
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Vijayaralakshmi Ramasamy, Suganya Ramamoorthy, Sustainable Data-Centric Project Curriculum for Industry-Ready Worskforce” published in Journal of Engineering Education Transforamtions
vol 36,Special issue: 2, pp-99-105, 2023.
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R.Suganya, Vijiayalakshmi R, Sumesh K, Parkavi R High impact practices and collaborative teaching to enhance learning and engagement in Engineering Design Project Course in Engineering Education Curriculum,Journal of Engineering Education Transformation
Vol 35, Pp 181-186, 2022, special issue eISSN- 2394-1707.(Scopus Indexed).
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Rampriya RS, R.Suganya, “A Comparative Assessment of Deep Neural Network Models for Detecting Obstacles in the Real Time Aerial Railway Track Images” in Journal of Applied Artificial Intelligence, Taylor & Francis
(Annexure –I) 2022
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K. Priya, S. Mohamed Mansoor Roomi, P. Uma Maheswari, R. Suganya, & DWT Based QR Steganography & Journal of Physics: Conference Series, IOP Science
Published: June 2021
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R.Suganya, Seyed M.Buhari, S.Rajaram, Effective Mechanism of Graduate Attribute Distribution in Engineering Education Curriculum, published in Journal of Engineering Education Transformation
Vol 34, Jan 2021, special issue eISSN- 2394-1707.(Scopus Indexed).
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Ramanujam E, R.Suganya, Effect of COVID-19 Quarantine period on a married woman with special reference to TIER - II selected city in India (130520-052151) in International Journal of Socio technology and Knowledge Development, IJSKD
vol 13, issue 1, article 10 (Scopus Indexed) published date: March 2021
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Rampriya, R.S., Sabarinathan, Suganya, R. RSNet: Rail semantic segmentation network for extracting aerial railroad images, Journal of Intelligent and Fuzzy Systems
vol. 41, issue 2, pp.4051- 4068, doi:10.3233/JIFS-210349, 2021 (Scopus Indexed), Web of science.
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R.S.Rampriya,R.Suganya, Segmentation of 3D Point Cloud Data based on Supervoxel Technique, Elsevier, Procedia Computer Science,
Vol 171, pp. 427-435, 2020.
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C.Karpagavalli, R.Suganya, P.J.Beslin Pajila, “Authentication using Block chain novel enhanced Authentication algorithm” in International journal of Advanced Science and Technology
ISSN: 2005- 4238 IJAST,pp: 11930- 11940, Vol. 29. No. 7 (2020) (Scopus Indexed) Impact factor:0.41
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S. Selvakumar, A.Sheik Abdullah, R.Suganya, “Decision support systems for Type II diabetes and its risk factor prediction using bee-based harmony search and decision tree algorithm”, in International Journal of Biomedical Engineering and Technology
Inderscience, (Scopus Indexed, Impact Factor: 1.0) vol. 29, No.1, pp. 46- 67, 2019.DOI: ISSN: 1752-6426.
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Yogapriya J, R.Suganya,“Steganography techniques for ECG Signals : A Survey ” presented in 11 th International Conference on Industrial & Information Systems (ICIIS 16) organized by RailTel –IITR Centre of Excellence in Telecom (RICET), IIT Roorkee
3 rd – 4 th Dec 2016. Published in IEEE Xplore 18 th Jan 2018. (Scopus Indexed)
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R.Suganya, S.Rajaram, “An Efficient Categorization of Liver Cirrhosis using Convolution Neural Networks for Health Informatics” Cluster Computing – Springer
Special issue: Cloud Computing and Health informatics. (Scopus Indexed, Impact Factor: 2.040) Vol.22, No.3,2017, ISSN: 1386- 7857
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R.Suganya, S.Rajaram, A.Sheik Abdullah &V.Rajendran, 2017, “Prediction of Heart Diseases using Hybrid Feature Selection and Modified Laplacian Pyramid Nonlinear Diffusion with Soft Computing Methods”, in International Journal of Biomedical Engineering
Inderscience. Vol.25, No.1, pp.30-43. (Scopus Indexed, Impact Factor: 1.0)
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R.Suganya, S.Rajaram, A.Sheik Abdullah & V.Rajendran, 2016, “A Novel Feature Selection method for Predicting Heart Diseases with Data mining Techniques”, in Asian Journal of Information Technology (AJIT)
(AJIT) Updated Annexure list, volume:15, Issue:8, pp.no: 1314- 1321,2016. ISSN: 1682-3915
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R.Suganya, J.YogaPriya, 2016 “Survey on Performance testing, monitoring and analysis of Big data applications” in Journal of Business & System
Vol.6, No.1, ISSN: 2319-2909
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R.Suganya, S.Rajaram, S.Vishalini, R.Meena & T.Senthil Kumar, 2016 “Dental Image Retrieval using Fused local binary pattern & Scale invariant feature transform” in SpringerLink
425, pp 215-224. (Scopus Indexed, Impact Factor: 0.32).
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R.Suganya, Kirubakaran & S.Rajaram 2014, “Classification and Retrieval of focal and diffuse liver from ultrasound images using machine learning techniques”, in SpringerLink
(AISC, volume 264), pp.253-261. (Scopus Indexed, Impact Factor: 0.32)
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R.Suganya,S.Rajaram & G.Deepika 2014, “An efficient method for speckle reduction in ultrasound liver images for e-Health applications”, in SpringerLink
LNCS book series (LNCS, volume 8337)pp 311-321. (Cited in Web of Science).
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R.Suganya, Kirubakaran & S.Rajaram 2014, “Texture feature extraction using MGRLBP method for medical image classification”, in SpringerLink – Artificial Intelligence and Evolutionary Algorithms in Engineering Systems
ISSN:978-81-322-2126-5 (AISC, volume 324) pp.747-753. (Scopus Indexed, Impact Factor: 0.32) (Cited in Web of Science).
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R.Suganya, S.Rajaram, 2014, “Identification of Liver diseases from Pathological liver images using CBIR with Fuzzy logic” WULFlENIA Journal
Vol. 20, No. 3, pp: 2 -16, (Scopus Indexed, Impact factor: 0.63).
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R.Suganya, Kirubakaran & S.Rajaram 2013, “Registration of ultrasound liver images using mutual information technique”, in SpringerLink – Computational Intelligence, Cyber Security and Computational Models, Advances in Intelligent on Soft Computing
(AISC, volume 246) pp.147-153 (Scopus Indexed, Impact Factor: 0.32).
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R.Suganya, P.Shalini & S.Rajaram 2013, “Comparative analysis of speckle noise reducing algorithms with various novelties”, in International Journal of Computer Applications
(ISSN: 0975-8887, Impact factor: 0.821), vol.4, pp.19-22. (Scopus Indexed, Impact Factor: 0.20)
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R.Suganya, S.Rajaram & H.HameedSulthan 2012, “Comparison and retrieval of liver diseases based on the performance of SVM and SOM”, Research Journal of Applied Sciences, Engineering and Technology
(ISSN: 2040 -7467), (Impact factor: 0.22), vol.4, no.24, pp.5539-5543.
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R.Suganya & S.Rajaram 2012, “Content based image retrieval of ultrasound liver diseases based on hybrid approach”, American Journal of Applied Science
vol.9, no.6, pp.938-945. (ISSN: 1546 – 9239, Impact factor 0.675).
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R.Suganya & S.Rajaram 2011, “Mutual information and genetic algorithm based registration of MRI brain images”, Canadian Journal on Biomedical Engineering and Technology
(ISSN: 1923-1644), vol.2, no.2, pp.14-17.
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R.Suganya, S.Rajaram & K.Priyadharsini 2010, “Intensity based image registration by maximization of mutual information”, in International Journal of Computer Applications
(ISSN: 0975-8887, Impact factor: 0.821) vol.1, no.20, pp.1-7. (Scopus Indexed, Impact Factor: 0.20).
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R.Suganya, S.Rajaram & P.Anandha Kumar 2009, “Medical image retrieval based on active learning and ranking techniques”, International Journal of Information Processing
(ISSN: 0973-8215), vol.3, no.4, pp.25-32.
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