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2020 – today
- 2024
[j6]W. M. K. S. Ilmini, T. G. I. Fernando:
Detection and explanation of apparent personality using deep learning: a short review of current approaches and future directions. Computing 106(1): 275-294 (2024)- 2023
- [j5]S. C. M. S. De Sirisuriya
, T. G. I. Fernando, M. K. A. Ariyaratne:
Algorithms for path optimizations: a short survey. Computing 105(2): 293-319 (2023) - 2021
- [i2]S. L. Heenatigala, Sunethra Weerakoon, T. G. I. Fernando:
Finite Difference Weerakoon-Fernando Method to solve nonlinear equations without using derivatives. CoRR abs/2102.02367 (2021)
2010 – 2019
- 2019
- [j4]M. K. A. Ariyaratne, T. G. I. Fernando, Sunethra Weerakoon:
Solving systems of nonlinear equations using a modified firefly algorithm (MODFA). Swarm Evol. Comput. 48: 72-92 (2019) - [c5]A. J. P. Samarawickrama, T. G. I. Fernando:
Multi-Step-Ahead Prediction of Exchange Rates Using Artificial Neural Networks: A Study on Selected Sri Lankan Foreign Exchange Rates. ICIIS 2019: 488-493 - [c4]W. P. J. Pemarathne, T. G. I. Fernando:
Optimizing the Electrical Wire Routing through Multiple Points using Multi-Objective Ant Colony Algorithms for Electrical Wire Routing (MOACS-EWR). ICIIS 2019: 494-499 - 2018
- [j3]H. P. S. Nishani, Sunethra Weerakoon, T. G. I. Fernando, Menaka Liyanage:
Weerakoon-Fernando Method with accelerated third-order convergence for systems of nonlinear equations. Int. J. Math. Model. Numer. Optimisation 8(3): 287-304 (2018) - 2017
- [c3]W. M. K. S. Ilmini, T. G. I. Fernando:
Computational personality traits assessment: A review. ICIIS 2017: 1-6 - [c2]A. J. P. Samarawickrama, T. G. I. Fernando:
A recurrent neural network approach in predicting daily stock prices an application to the Sri Lankan stock market. ICIIS 2017: 1-6 - 2016
- [c1]M. K. A. Ariyaratne, T. G. I. Fernando, Sunethra Weerakoon:
A self-tuning modified firefly algorithm to solve univariate nonlinear equations with complex roots. CEC 2016: 1477-1484 - [i1]M. K. A. Ariyaratne, T. G. I. Fernando, Sunethra Weerakoon:
A self-tuning Firefly algorithm to tune the parameters of Ant Colony System (ACSFA). CoRR abs/1610.08222 (2016) - 2015
- [j2]I. D. I. D. Ariyasingha, T. G. I. Fernando:
Performance analysis of the multi-objective ant colony optimization algorithms for the traveling salesman problem. Swarm Evol. Comput. 23: 11-26 (2015)
2000 – 2009
- 2000
- [j1]Sunethra Weerakoon, T. G. I. Fernando:
A variant of Newton's method with accelerated third-order convergence. Appl. Math. Lett. 13(8): 87-93 (2000)
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