T. G. I. Fernando

13 papers B 1Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
Detection and explanation of apparent personality using deep learning: a short review of current approaches and future directions.
Computing
W. M. K. S. Ilmini, T. G. I. Fernando
2023 J jnl
Algorithms for path optimizations: a short survey.
Computing
S. C. M. S. De Sirisuriya, T. G. I. Fernando, M. K. A. Ariyaratne
2021 J jnl
Finite Difference Weerakoon-Fernando Method to solve nonlinear equations without using derivatives.
CoRR
S. L. Heenatigala, Sunethra Weerakoon, T. G. I. Fernando
2019 — conf
Multi-Step-Ahead Prediction of Exchange Rates Using Artificial Neural Networks: A Study on Selected Sri Lankan Foreign Exchange Rates.
ICIIS
A. J. P. Samarawickrama, T. G. I. Fernando
2019 — conf
Optimizing the Electrical Wire Routing through Multiple Points using Multi-Objective Ant Colony Algorithms for Electrical Wire Routing (MOACS-EWR).
ICIIS
W. P. J. Pemarathne, T. G. I. Fernando
2019 J jnl
Solving systems of nonlinear equations using a modified firefly algorithm (MODFA).
Swarm Evol. Comput.
M. K. A. Ariyaratne, T. G. I. Fernando, Sunethra Weerakoon
2018 J jnl
Weerakoon-Fernando Method with accelerated third-order convergence for systems of nonlinear equations.
Int. J. Math. Model. Numer. Optimisation
H. P. S. Nishani, Sunethra Weerakoon, T. G. I. Fernando, Menaka Liyanage
2017 — conf
A recurrent neural network approach in predicting daily stock prices an application to the Sri Lankan stock market.
ICIIS
A. J. P. Samarawickrama, T. G. I. Fernando
2017 — conf
Computational personality traits assessment: A review.
ICIIS
W. M. K. S. Ilmini, T. G. I. Fernando
2016 J jnl
A self-tuning Firefly algorithm to tune the parameters of Ant Colony System (ACSFA).
CoRR
M. K. A. Ariyaratne, T. G. I. Fernando, Sunethra Weerakoon
2016 B conf
A self-tuning modified firefly algorithm to solve univariate nonlinear equations with complex roots.
CEC
M. K. A. Ariyaratne, T. G. I. Fernando, Sunethra Weerakoon
2015 J jnl
Performance analysis of the multi-objective ant colony optimization algorithms for the traveling salesman problem.
Swarm Evol. Comput.
I. D. I. D. Ariyasingha, T. G. I. Fernando
2000 J jnl
A variant of Newton's method with accelerated third-order convergence.
Appl. Math. Lett.
Sunethra Weerakoon, T. G. I. Fernando