Narayanan, S. J., Perumal, B., & Rohra, J. G. (2018). Swarm-Based Nature-Inspired Metaheuristics for Neural Network Optimization. In Handbook of Research on Modelling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms (pp. 23-53). IGI Global. DOI: 10.4018/978-1-5225-2857-9.ch002.
Narayanan, S. J., Perumal, B., Saman, S., & Singh, A. P. (2020). Deep Learning for Person Re-identification in Surveillance Videos. In Deep Learning: Algorithms and Applications (pp. 263-297). Springer, Cham.
Narayanan, Swathi Jamjala, Pranav Raj Jaiswal, Ariyan Chowdhury, Amitha Maria Joseph, and Saurabh Ambar. (2021) "A Computational Intelligence Approach for Skin Disease Identification Using Machine/Deep Learning Algorithms." In Computational Intelligence and Healthcare Informatics : 269.
Bhatt, R. B., Narayanan, S. J., Paramasivam, I., & Khalid, M. (2012, December). Approximating fuzzy membership functions from clustered raw data. In India Conference (INDICON), 2012 Annual IEEE (pp. 487-492). IEEE. (Scopus Indexed) DOI: 10.1109/INDCON.2012.6420667.
Narayanan, S. J, Rajen B. Bhatt, Ilango Paramasivam, Khalid M, Tripathy B.K,2014, "Gradient Projected Neuro-Fuzzy Decision Tree", in Proc of Elsevier International Conference on Advances in Communication Network and Computing, CNC-2014, Feb21-22,2014, pp-126-182.
Narayanan, S. J., Bhatt, R. B., & Perumal, B. (2016). Improving the Accuracy of Fuzzy Decision Tree by Direct Back Propagation with Adaptive Learning Rate and Momentum Factor for User Localization. Procedia Computer Science, 89, 506-513. (Scopus Indexed) DOI: 10.1016/j.procs.2016.06.104
Baby, C. J., Khan, F. A., & Swathi, J. N. (2017, April). Home automation using IoT and a chatbot using natural language processing. In Power and Advanced Computing Technologies (i-PACT), 2017 Innovations in (pp. 1-6). IEEE. (Scopus Indexed) DOI: 10.1109/IPACT.2017.8245185.
Rohra, J. G., Perumal, B., Narayanan, S. J., Thakur, P., & Bhatt, R. B. (2017). User localization in an indoor environment using fuzzy hybrid of particle swarm optimization & gravitational search algorithm with neural networks. In Proceedings of Sixth International Conference on Soft Computing for Problem Solving (pp. 286-295). Springer, Singapore. (Scopus Indexed) DOI: 10.1007/978-981-10-3322-3_27.
Narayanan, S. J., Perumal, B., Baby, C. J., & Bhatt, R. B. (2019). Fuzzy Decision Tree with Fuzzy Particle Swarm Optimization Clustering for Locating Users in an Indoor Environment Using Wireless Signal Strength. In Harmony Search and Nature Inspired Optimization Algorithms (pp. 217-225). Springer, Singapore. (Scopus Indexed) DOI: https://doi.org/10.1007/978-981-13-0761-4_22.
Narayanan, S. J., Soundrapandiyan, R., Perumal, B., & Baby, C. J. (2019). Emphysema Medical Image Classification Using Fuzzy Decision Tree with Fuzzy Particle Swarm Optimization Clustering. In Smart Intelligent Computing and Applications (pp. 305-313). Springer, Singapore.
Chakrapani, H. B., Chouraisa, S., Saha, A., & Swathi, J. N. (2020, February). Predicting Performance Analysis of System Configurations to Contrast Feature Selection Methods. In 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE) (pp. 1-7). IEEE.
Kalra, S., Perumal, B., Yadav, S., & Narayanan, S. J. (2020, February). Analyzing and Predicting the purchases done on the day of Black Friday. In 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE) (pp. 1-8). IEEE.
Mohan, P., Pahinkar, A., Karajgi, A., Kumar, L. D., Kasera, R., Gupta, A. K., & Narayanan, S. J. (2020, November). Multi-Contrast Convolution Neural Network and Fast Feature Embedding for Multi-Class Tyre Defect Detection. In 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (pp. 1397-1405). IEEE.
Hemantkumar, P. R., Gupta, T., Vashisth, A., Chintha, P., Wargiya, A. V., George, M. G., ... & Narayanan, S. J. (2020, December). GCN embedded with Polynomial Aggregation Function for Group Activity Recognition. In 2020 IEEE 4th Conference on Information & Communication Technology (CICT) (pp. 1-6). IEEE.
Prabhu, A., Chowdhary, S., Narayanan, S. J., & Perumal, B. (2021) Image Compression and Reconstruction Using Encoder-Decoder Convolutional Neural Network. In Intelligent System Design (pp. 845-855). Springer, Singapore.
Narayanan, S. J., Perumal, B., Saman, S., Mutha, A., & Bhatt, R. B. (2022, June). Human Activity Recognition on Accelerometer Data using Machine Learning Algorithms. In 2022 IEEE World Conference on Applied Intelligence and Computing (AIC) (pp. 48-53). IEEE.
Tripathy, S. A., Sakkeer, A. A., Utkarsh, U., Saini, D., Narayanan, S. J., Tiwari, S., ... & Shankarappa, R. T. (2023, February). Sound AI Engine for Detection and Classification of Overlapping Sounds in Home Environment. In 2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON) (pp. 1-6). IEEE. (Best Conference Paper)
Narayanan, S. J., Anil, A. S., Ashtikar, C., Chunduri, S., & Saman, S. (2023). Automated Brain Tumor Segmentation Using GAN Augmentation and Optimized U-Net. In Frontiers of ICT in Healthcare: Proceedings of EAIT 2022 (pp. 635-646). Singapore: Springer Nature Singapore.
Approximating fuzzy membership functions from clustered raw data in INDICON 2012 organized by IEEE India Council & IEEE Kerala Section held during 7-9 December 2012 at Kochi, Kerala, India.
Gradient Projected Neuro-Fuzzy Decision Tree in Fifth International Conference on Advances in Communication, Network, and Computing (CNC-2014) held during 21-22 February 2014 organized by the Association of Computer Electronics and Electrical Engineers (ACEEE) – a division of The IDES at Chennai, India.
Improving the Accuracy of Fuzzy Decision Tree by Direct Back Propagation with Adaptive Learning Rate and Momentum Factor for User Localization in Twelfth International Conference on Data Mining and Warehousing, held during 19-21, August 2016 at University Visveswaraya College of Engineering, Bangalore Univerisity, Bengaluru, India.
Presented on Fuzzy Decision Tree with Fuzzy Particle Swarm Optimization Clustering for Locating Users in an Indoor Environment Using Wireless Signal Strength in 4th International Conference on Harmony Search, Soft Computing and Applications (ICHSA-2018) held during 7-9 February 2018 at BML Munjal University, Gurugram, Haryana, India (SKYPE Presentation).
Presented on Emphysema Medical Image Classification using Fuzzy Decision Tree with Fuzzy Particle Swarm Optimization Clustering in 2nd International Conference on Smart Computing & Informatics (SCI-2018) held during 27-28 January 2018 at Prasad V. Potluri Siddhartha Institute of Technology, Vijayawada, A.P, India.
Nayak, G. K., Narayanan, S. J., & Paramasivam, I. (2013). Development and comparative analysis of fuzzy inference systems for predicting customer buying behavior. International Journal of Engineering and Technology (IJET), 5(5), 4093-4108. SNIP: 0.489
Narayanan, S. J., Bhatt, R. B., Paramasivam, I., Khalid, M., & Tripathy, B. K. (2014). Induction of fuzzy decision trees and its refinement using gradient projected-neuro-fuzzy decision tree. International Journal of Advanced Intelligence Paradigms, 6(4), 346-369. DOI: 10.1504/IJAIP.2014.066983 SNIP:0.693
Narayanan, S. J., Paramasivam, I., Bhatt, R. B., & Khalid, M. (2015). A study on the approximation of clustered data to parameterized family of fuzzy membership functions for the induction of fuzzy decision trees. Cybernetics and Information Technologies, 15(2), 75-96. (Thomson Reuters) DOI: 10.1515/cait-2015-0030 SNIP: 0.546
Narayanan, S. J., Bhatt, R. B., & Paramasivam, I. (2016). An Improved Second Order Training Algorithm for Improving the Accuracy of Fuzzy Decision Trees. International Journal of Fuzzy System Applications (IJFSA), 5(4), 96-120. DOI: 10.4018/IJFSA.2016100105 SNIP: 0.382
Narayanan, S. J., Bhatt, R. B., & Paramasivam, I. (2016). User localization using wireless signal strength - An application for pattern classification using fuzzy decision tree. International Journal of Internet Protocol Technology, 9(2-3), 138-150.( Thomson Reuters) DOI: 10.1504/IJIPT.2016.079551
Swathi J.Narayanan, Priya. V, Boominathan Perumal, Ramani.S, (2016), An Empirical Study Of Fuzzy Decision Trees For Predicting The Patients Medical Behaviour, International Journal of Pharmacy and Technology, 8(2), 12984-12993
Swathi J. N. A Survey On Nature-Inspired Metaheuristic Techniques For Training Feedforward Neural Networks (2016), International Journal of Pharmacy and Technology, 8(3), pp. 4567-4590
Swathi Jamjala Narayanan & Ilango Paramasivam & Rajen B. Bhatt, 2017. "On the estimation of optimal number of clusters for the induction of fuzzy decision trees," International Journal of Data Science, Inderscience Enterprises Ltd, vol. 2(3), pages 221-245.
Sengupta, A., Agrawal, P., & Narayanan, S. J. (2017). Medicinal plant Monitoring System. Research Journal of Pharmacy and Technology, 10(8), 2671-2676. DOI: 10.5958/0974-360X.2017.00475.9 SNIP: 0.101
Singh, N., Kalpesh, A., & Narayanan, S. J.,(2017) Fault Prone Analysis of Software Systems Using Rough Fuzzy C-means Clustering, International Journal of Intelligent Engineering and Systems,10(6), 1-8. DOI: 10.22266/ijies2017.1231.01 SNIP: 0.248.
Barrow, P. I., & Naryanan, S. J. (2018) An Intuitive Wizard to Identify Pattern in Similarity Expressed Gene Set of Rice, International Journal of Intelligent Engineering and Systems, 11(4) 1-9 DOI: 10.22266/ijies2018.0831.01 SNIP: 0.248.
Thanigaivasan, V., Narayanan, S. J., Iyengar, S. N., & Ch, N. (2018). Analysis of parallel SVM-based classification technique on healthcare using big data management in cloud storage. Recent Patents on Computer Science, 11(3), 169-178.
Vivekanandan, T., & Narayanan, S. J. (2019). A Hybrid Risk Assessment Model for Cardiovascular Disease Using Cox Regression Analysis and a 2-means clustering algorithm. Computers in biology and medicine, 113, 103400. (Elsevier, SCI, SCOPUS, Impact factor: 3.434)
Saman, S., & Narayanan, S. J. (2019). Survey on brain tumor segmentation and feature extraction of MR images. International Journal of Multimedia Information Retrieval, 8(2), 79-99.
Mukthineni, V., Mukthineni, R., Sharma, O., & Narayanan, S. J. (2020). Face Authenticated Hand Gesture Based Human Computer Interaction for Desktops. CYBERNETICS AND INFORMATION TECHNOLOGIES, 20(4).
Naveen, A., Manoj, B., Akhila, G., Nakarani, M. B., Sreekar, J. R., Beriwal, P., ... & Narayanan, S. J. (2021). Deep Learning Techniques for Detection of COVID-19 using Chest X-Rays. Advances in Systems Science and Applications, 21(2), 42-57.
Saman, S., & Narayanan, S. J. (2021). Active contour model driven by optimized energy functionals for MR brain tumor segmentation with intensity inhomogeneity correction. Multimedia Tools and Applications, 80(14), 21925-21954. (Impact factor- 2.757, Sci-Scopus journal )
Narayanan, S. J., Baby, C. J., Perumal, B., Bhatt, R. B., Cheng, X., Ghalib, M. R., & Shankar, A. (2021). Fuzzy decision trees embedded with evolutionary fuzzy clustering for locating users using wireless signal strength in an indoor environment. International Journal of Intelligent Systems. ( Impact Factor: 10.312)
Rishin Haldar, Swathi Jamjala Narayanan. A novel ensemble based recommendation approach using network based analysis for identification of effective drugs for Tuberculosis[J]. Mathematical Biosciences and Engineering, 2022, 19(1): 873-891. doi: 10.3934/mbe.2022040 ( Impact Factor: 2.080)
Babu, B. P., & Narayanan, S. J. (2022). One-vs-All Convolutional Neural Networks for Synthetic Aperture Radar Target Recognition. Cybernetics and Information Technologies, 22(3), 179-197.
Haldar, R., & Narayanan, S. J. (2022). Determining the effectiveness of drugs on a mutating strain of tuberculosis bacteria by using tuberculosis datasets under a secure cloud-based data management. International Journal of Cloud Computing, 11(5-6), 425-439.
Ilankumaran, A., & Narayanan, S. J. (2023). An Energy-Aware QoS Load Balance Scheduling Using Hybrid GAACO Algorithm for Cloud. Cybernetics and Information Technologies, 23(1), 161-177.
Thirugnanam, M., & Swathi, J. N. (2010). Quality Metrics Tool for Object Oriented Programming. International Journal of Computer Theory and Engineering, 2(5), 712.
Swathi, J. N., Thaseen, S. I., & Sangeetha, S. (2011). Minimal test case generation for effective program test using control structure methods and test effectiveness ratio. International Journal of Computer Applications,17(3), 48-53.
Prachi Doshi, J N Swathi, Ilango.P, Sivakumar.P (2012), “An Empirical Study of Hard and Fuzzy Clustering Algorithms on IRIS Dataset”, International Journal of Advances in Science and Technology, Vol. 4, No.4.
Prachi Doshi, J N Swathi, Ilango.P, (2012), "A Study of Improvements in Fuzzy C Means Clustering Algorithm”, International Journal of Computer Science and Knowledge Engineering, Vol. 3, No. 1, pp. 69-77.
J N Swathi, A Tripathi, R Kulkarni, S Sharma, (2014), EasyPark:The Intelligent Car Parking Assistance System, Vol. 2, No. 5,pp. 215-226.
J N Swathi, R Kulkarni, A Tripathi, S Sharma, (2014). A Review on Software Engineering Practices in SaaS Application Development, International Journal of Computer and Organisation Trends, Vol.8, No.2, pp.81-85.
Shahul, S., Suneel, S., Rahaman, M. A. & Swathi, J.N. (2016). A Study of Data Pre-Processing Techniques for Machine Learning Algorithm to Predict Software Effort Estimation. Imperial Journal of Interdisciplinary Research, 2(6).
Mundada, D., Murade, A., Vaidya, O., & Swathi, J. N. (2016). Software fault prediction using artificial neural network and Resilient Back Propagation. International Journal of Computer Science Engineering, 5(03).
Swathi J. Narayanan, Jayant G.Rohra, A Review On Metaheuristic Techniques To Train Feedforwad Neural Networks And Its Application To Predict Patient Medical Behaviour, Int J Pharm Bio Sci 2016 Oct; Special issue SP02 “Healthcare Technology and management.”
Narayanan, S. J., Paramasivam, I., & Bhatt, R. B. (2017). On the estimation of optimal number of clusters for the induction of fuzzy decision trees. International Journal of Data Science, 2(3), 221-245.
Sarthak Tandon, Chandan Kesarwani, paridhi Srivastava, Swathi J N (2017). Network Aware Virtual machine Migration by PSo optimization, International Journal of research in Applied Science & Engineering Technology ,5(v), 548-556, 2017.
Divyansh Upman, K. Sandeep Kumar, Ashish Kumar N, Swathi J.N (2017). Advance Power Supply Management through Power Supply Optimization to Significantly Improve the PUE at Multiple Datacenters, International Journal of research in Applied Science & Engineering Technology ,5(v), 1097-1102.
Renisa Pati, Sandal Babaj, Shreya Agarwal, Tanvi Anand, Swathi J N (2017) Analysis of Trade Offs between performance and energy consumption due to execution of Software on Multiple platforms and hardware, International Journal of research in Applied Science & Engineering Technology ,5(v), 761-768.
Sadhu Sai Sruthi, Devi Reddy Yaseswani, Swathi J N (2017). Cold Storage Traceability System, International Journal of research in Applied Science & Engineering Technology,5(v), 1086-1096.
Prachi Doshi, J N Swathi, Ilango.P, Sivakumar.P (2012), “An Empirical Study of Hard and Fuzzy Clustering Algorithms on IRIS Dataset”, International Journal of Advances in Science and Technology, Vol. 4, No.4. (Non- Scopus Indexed)
Prachi Doshi, J N Swathi, Ilango.P, (2012), "A Study of Improvements in Fuzzy C Means Clustering Algorithm”, International Journal of Computer Science and Knowledge Engineering, Vol. 3, No. 1, pp. 69-77 (Non- Scopus Indexed)
Nayak, G. K., Narayanan, S. J., & Paramasivam, I. (2013). Development and comparative analysis of fuzzy inference systems for predicting customer buying behavior. International Journal of Engineering and Technology (IJET), 5(5), 4093-4108. SNIP: 0.489 (Scopus Indexed)
Sadhu Sai Sruthi, Devi Reddy Yaseswani, Swathi J N,(2017). Cold Storage Traceability System, International Journal of research in Applied Science & Engineering Technology, 5(v), 1086-1096. (Non- Scopus Indexed)
Sengupta, A., Agrawal, P., & Narayanan, S. J. (2017). Medicinal plant Monitoring System. Research Journal of Pharmacy and Technology, 10(8), 2671-2676. DOI: 10.5958/0974-360X.2017.00475.9 SNIP: 0.101 (Scopus Indexed)
Singh, N., Kalpesh, A., & Narayanan, S. J.,(2017) Fault Prone Analysis of Software Systems Using Rough Fuzzy C-means Clustering, International Journal of Intelligent Engineering and Systems,10(6), 1-8. DOI: 10.22266/ijies2017.1231.01 SNIP: 0.248 (Scopus Indexed)
Barrow, P. I., & Naryanan, S. J. (2018) An Intuitive Wizard to Identify Pattern in Similarity Expressed Gene Set of Rice, International Journal of Intelligent Engineering and Systems, 11(4) 1-9 DOI: 10.22266/ijies2018.0831.01 SNIP: 0.248 (Scopus Indexed)
Mukthineni, V., Mukthineni, R., Sharma, O., & Narayanan, S. J. (2020). Face Authenticated Hand Gesture Based Human Computer Interaction for Desktops. CYBERNETICS AND INFORMATION TECHNOLOGIES, 20(4).
Naveen, A., Manoj, B., Akhila, G., Nakarani, M. B., Sreekar, J. R., Beriwal, P., ... & Narayanan, S. J. (2021). Deep Learning Techniques for Detection of COVID-19 using Chest X-Rays. Advances in Systems Science and Applications, 21(2), 42-57.