1. Karthikeyan, M., P. Jayabala, S. Ramachandran, S.S. Dhanabalan, T. Sivanesan and M. Ponnusamy, 2022. Tunable optimal dual band metamaterial absorber for high sensitivity THz refractive index sensing. Nanomaterials, Vol. 12. 10.3390/nano12152693.
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2. Vijayakumar, K., S. Pushparaj, J. Pradeep and V. Rohith, 2020. A user friendly navigation system for pacing urbanization. J. Crit. Rev., 7: 1199-1207.
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3. Pradeep, J., A. Muthukumaran, G. Nareshraman, R. Krishnan and B.S.R. Prasanna, 2020. Efficient vehicle detection system using OCR and REST API. Int. J. Eng. Res. Technol., 9: 820-824.
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4. Kumar, P.M., J. Pradeep and S. Mallikarjuna, 2019. An efficient analysis and detection of breast cancer using random forest classifier. J. Eng. Sci., 10: 1166-1172.
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5. Kumar, P.M., J. Pradeep and B. Venkateshwarlu, 2019. Binary to decimal feature extraction based handwrittien character recognition system using feed forward neural network. J. Eng. Sci., 10: 900-907.
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6. Kumar, P.M., J. Pradeep and B. Venkateshwarlu, 2019. An early diagnosis of breast cancer using fuzzy clustering and PNN classifier. J. Eng. Sci., 10: 893-899.
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7. Pradeep, J., S.R. Sebasteen and R. Dineshkrishna, 2018. Comparison of can and flexray protocol for automotive application. Int. J. Pure Appl. Math., 119: 1739-1745.
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8. Pradeep, J., A.L. Narayanan, M. Harikrishan, S. Pushparaj and K. Uthayasuriyan, 2018. An efficient automated colour based customized product collation system. Int. J. Appl. Innovation Eng. Manage., 7: 36-44.
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9. Majesh, P. and J. Pradeep, 2018. An optimized scheme to detect and locate the fault in the implementation of AES algorithm. Int. J. Pure Appl. Math., 118: 295-303.
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10. Kumar, P.M., G.R. Raman, S. Balachandran, J. Pradeep and A. Suresh, 2018. Artificial neural network based distribution static compensator for THD and reactive power compensation in PV tied IEEE standard 9-bus system. J. Comput. Theoret. Nanosci., 15: 3223-3230.
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11. HariPrakash, J. Pradeep, E. Kodhai, A. Hussain and V. RamaKrishna, 2017. A survey on secure sharing and auditing process using privacy preserving tool in cloud data storage. Int. J. Pure Appl. Math., 117: 383-387.
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12. Pradeep, J., E. Srinivasan and S. Himavathi, 2014. An investigation on the performance of hybrid features for feed forward neural network based english handwritten character recognition system. WSEAS Trans. Signal Process., 10: 21-29.
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13. Pradeep, J., E. Srinivasan and S. Himavathi, 2012. Neural network based recognition system integrating feature extraction and classification for english handwritten. Int. J. Eng., 25: 99-106.
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14. Pradeep, J., 2012. Improved hybrid joint call admission control algorithm for next generation network to enhance connection level QoS. IUP J. Telecommun., 4: 17-30.
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15. Pradeep, J., E. Srinivasan and S. Himavathi, 2010. Diagonal feature extraction based handwritten character system using neural network. Int. J. Comput. Appl., 8: 17-22.
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16. Pradeep, J. and R. Nakkeeran, 2010. A hybrid joint call admission control algorithm for next generation network to enhance connection level QOS. CiiT Int. J. Wireless Commun., 8: 208-212.
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