1. Patel, P., R. Raghunandan and R.N. Annavarapu, 2021. EEG-based human emotion recognition using entropy as a feature extraction measure. Brain Inf., Vol. 8. 10.1186/s40708-021-00141-5.
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2. Goray, M. and R.N. Annavarapu, 2021. The energy of a photon, on the geometrical perspective. Optik, Vol. 248. 10.1016/j.ijleo.2021.168076.
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3. Goray, M. and R.N. Annavarapu, 2020. Rest mass of photon on the surface of matter. Results Phys., Vol. 16. 10.1016/j.rinp.2019.102866.
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4. Goray, M. and R.N. Annavarapu, 2020. An alternative approach of the dark energy beyond the equation of state. Rep. Adv. Phys. Sci., Vol. 4. 10.1142/s2424942420500097.
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5. Goray, M. and R.N. Annavarapu, 2020. A novel way of understanding the linear momentum of photon. Optik, Vol. 223. 10.1016/j.ijleo.2020.165488.
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6. Vadla, V.K. and R.N. Annavarapu, 2019. EEG correlates of visual signal processing: Spectral decomposition using ICA. Int. J. Recent Technol. Eng., 8: 582-586.
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7. Annavarapu, R.N., S. Kathi and V.K. Vadla, 2019. Non-invasive imaging modalities to study neurodegenerative diseases of aging brain. J. Chem. Neuroanat., 95: 54-69.
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8. Annavarapu, R.N., 2016. On the memory storage capacity of Hopfield networks using Lowdin orthogonalizations. Int. J. Adv. Sci. Technol. Eng. Manage. Sci., 2: 18-23.
9. Annavarapu, R.N., 2016. Investigations on the complex decision making process using choice based probabilistic models. Int. J. Adv. Inform. Sci. Technol., Vol. 49. .
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10. Annavarapu, R.N., 2016. Critical studies on the specific heat of high temperature cuprate oxide superconductors. Int. J. Adv. Res. Phys. Sci., 3: 1-8.
11. Annavarapu, R.N., 2016. Computational analysis of microarray data using Lo wdin orthogonalization methods. Int. J. Applied Sci. Math., 3: 88-92.
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12. Annavarapu, R.N. and S. Kathi, 2016. Cognitive disorders in children associated with urban vehicular emissions. Environ. Pollut., 208: 74-78.
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13. Annavarapu, R.N. and V. Srivastava, 2014. Zeros and asymptotic limits of Láwdin orthogonal polynomials with a unified view. Applied Comput. Math., 3: 57-62.
14. Machado, S., L.F. Almada and R.N. Annavarapu, 2013. Progress and prospects in EEG-based brain-computer interface: Clinical applications in neurorehabilitation. J. Rehabilitation Robotics, 1: 28-41.
15. Annavarapu, R.N., 2013. Singular value decomposition and the centrality of Lowdin orthogonalizations. Am. J. Comput. Applied Math., 3: 33-35.
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16. Srivastava, V. and A.R. Naidu, 2006. New classes of orthogonal polynomials. Int. J. Quantum Chem., 106: 1258-1266.
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17. Naidu, A.R. and V. Srivastava, 2004. Lowdin's canonical orthogonalization: Getting round the restriction of linear independence. Int. J. Quantum Chem., 99: 882-888.
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