By Year

 

2024

  1. Himash Wedisinghe & Fernando TGI (2024). Explainable AI for Early Lung Cancer Detection: A Path to Confidence. 4th International Conference on Advanced Research in Computing (ICARC), IEEE; https://doi.org/10.1109/ICARC61713.2024.10499787

  2. Dikwatta U, Fernando TGI &  Ariyaratne MKA (2024). Exploring mechanisms for detecting violent content in Sinhala image posts: Rationale with unsupervised vs supervised techniques. International Journal of Research in Computing (IJRC)(ISSN 2820-2147 (For the on-line issues)(ISSN 2820-2139 (For the print issues)). General Sir John Kotelawala Defence University, Kandawala Road, Rathmalana, Sri Lanka.

2023

  1. Heenkenda, HMSCR & Fernando, TGI (2023). Chronological attribution of Sinhalese inscriptions using deep learning approaches. Journal of the National Science Foundation of Sri Lanka. https://doi.org/10.4038/jnsfsr.v51i3.11200.

  2. Ilmini, WMKS & Fernando, TGI (2023). Detection and explanation of apparent personality using deep learning: a short review of current approaches and future directions. Computing. https://doi.org/10.1007/s00607-023-01221-6.

  3. Ilmini, WMKS & Fernando, TGI (2023). “Explaining the Outputs of Convolutional Neural Network – Recurrent Neural Network (CNN-RNN) Based Apparent Personality Detection Models Using the Class Activation Maps.” International Journal of  Advanced Computer Science and Applications (IJACSA), vol. 14, no. 2, Feb. 2023, https://thesai.org/Publications/ViewPaper?Volume=14&Issue=2&Code=IJACSA&SerialNo=24.

2022

  1. Ilmini, W. M. K. S., & Fernando, T. G. I. (2022). Performance Analysis of State-of-the-Art Deep Learning Models in the Visual-Based Apparent Personality Detection. Vidyodaya Journal of Science, 25(02). https://doi.org/10.31357/vjs.v25i02.6174

  2. Sirisuriya, SCMS, Fernando, TGI, & Ariyaratne, MKA (2022). Algorithms for path optimizations: a short survey. Springer Computing. https://doi.org/10.1007/s00607-022-01126-w

  3. Ariyaratne, M, & Fernando, TGI (2022). A Comprehensive Review of the Firefly Algorithms for Data Clustering. In A. Biswas, C. B. Kalayci, & S. Mirjalili (Eds.), Advances in Swarm Intelligence: Variations and Adaptations for Optimization Problems (pp. 217–239). Springer International Publishing. https://doi.org/10.1007/978-3-031-09835-2_12

  4. Ilmini WMKS, Fernando TGI. Facial Feature Identification in the Deep Learning Based Apparent Personality Detection. In: 2022 2nd International Conference on Advanced Research in Computing (ICARC). 2022. p. 49–54.

  5. Ranaweera RKMTN, Fernando TGI. Prediction of Potentially Hazardous Asteroids using Deep Learning. In: 2022 2nd International Conference on Advanced Research in Computing (ICARC). 2022. p. 31–6.

  6. Naulla NTK, Fernando TGI. Predicting the Next Word of a Sinhala Word Series Using Recurrent Neural Networks. In: 2022 2nd International Conference on Advanced Research in Computing (ICARC). 2022. p. 13–8.

2021

  1. Heenatigala SL, Weerakoon S, Fernando TGI. Finite Difference Weerakoon-Fernando Method to Solve Nonlinear Equations Without Using Derivatives. 2021.

  2. Weerawardana MC, Fernando TGI. Deepfakes Detection Methods: A Literature Survey. In: 2021 10th International Conference on Information and Automation for Sustainability (ICIAfS). IEEE; 2021. p. 76–81.

  3. Dikwatta U, Fernando TGI. Violence Detection of Sinhala Image Posts with Autoencoders. In: 2021 10th International Conference on Information and Automation for Sustainability (ICIAfS). IEEE; 2021. p. 275–80.

  4. Priyankan K, Fernando TGI. Mobile Application to Identify Fish Species Using YOLO and Convolutional Neural Networks. In: Proceedings of International Conference on Sustainable Expert Systems: ICSES 2020. Springer Nature; 2021. p. 303.

2020

  1. Heenkenda H, Fernando TGI. Approaches Used to Recognize and Decipher Ancient Inscriptions: A Review. Vidyodaya Journal of Science. 2020;23(2):42–55.

  2. Ariyaratne MKA, Fernando TGI, Weerakoon S. A Hybrid Algorithm to Solve Multi-model Optimization Problems Based on the Particle Swarm Optimization with a Modified Firefly Algorithm. In: Proceedings of the Future Technologies Conference. Springer; 2020. p. 308–25.

  3. Welikala MD, Fernando TGI. Komposer V2: A Hybrid Approach to Intelligent Musical Composition Based on Generative Adversarial Networks with a Variational Autoencoder. In: Proceedings of the Future Technologies Conference. Springer; 2020. p. 413–25.

  4. Gammanpila AC, Fernando TGI. Implementation of Modified Talbi’s Quantum Inspired Genetic Algorithm for Travelling Salesman Problem on an IBM Quantum Computer. In: Proceedings of the Future Technologies Conference. Springer, Cham; 2020. p. 70–88.

  5. Pemarathne WPJ, Fernando TGI. Optimising Electrical Wiring Design of a Single-Storey Floor Plan using Multi-Objective Ant Colony System Algorithm (MOACS-EWR). Vidyodaya Journal of Science. 2020;23(1):17–32.

  6. Deepal DAA, Fernando TGI. Convolutional Neural Network Approach for the Detection of Lung Cancers in Chest X-Ray Images. In: Deep Learning for Cancer Diagnosis, Studies in Computational Intelligence Book Series. Springer; 2020. p. 203–226.

  7. Jayanka M, Fernando TGI. Recognising Ayurvedic Herbal Plants in Sri Lanka using Convolutional Neural Networks. Vidyodaya Journal of Science. 2020;23(1):48–60.

  8. Pemarathne WPJ, Fernando TGI. Multi objective ant colony algorithm for electrical wire routing. International Journal of Swarm Intelligence. 2020;5(1):97–135.

  9. Ariyaratne MKA, Fernando TGI, Weerakoon S. A self-tuning algorithm to approximate roots of systems of nonlinear equations based on the firefly algorithm. International Journal of Swarm Intelligence. 2020;5(1):60–96.

2019

1.

Abayaratne SB, Ilmini W, Fernando TGI. Identification of Snake Species in Sri Lanka Using Convolutional Neural Networks. In: 3rd SLAAI-International Conference on Artificial Intelligence. 2019.

2.

Samarawickrama AJP, Fernando TGI. Multi-Step-Ahead Prediction of Exchange Rates Using Artificial Neural Networks: A Study on Selected Sri Lankan Foreign Exchange Rates. In: 2019 14th Conference on Industrial and Information Systems (ICIIS). IEEE; 2019. p. 488–93.

3.

Ilmini W, Fernando TGI. iPersonalityReader: An Application to Assess the Personality of a Person via Face Image Using Pre-trained Convolutional Neural Networks. In: 3rd SLAAI-International Conference on Artificial Intelligence. 2019.

4.

Pemarathne WPJ, Fernando TGI. Optimizing the Electrical Wire Routing Through Multiple Points Using Multi Objective Ant Colony Algorithms for Electrical Wire Routing (MOACS-EWR). In: IEEE 14th Conference on Industrial and Information Systems (ICIIS). 2019.

5.

Dikwatta U, Fernando TGI. Violence Detection in Social Media – Review. Vidyodaya Journal of Science. 2019;22(2):7–16.

6.

Abayaratne SB, Ilmini W, Fernando TGI. Automated Methods to Identify Snake Species in Sri Lanka: A Review. In: 12th International Research Conference (IRC 2019), General Sir John Kotelawala Defence University, Sri Lanka. 2019.

7.

Dias DS, Fernando TGI. Komposer – Automated Musical Note Generation based on Lyrics with Recurrent Neural Networks. In: IEEE First International Conference on Artificial Intelligence and Data Sciences (AiDAS), 2019. 2019.

8.

Ariyasingha IDID, Fernando TGI. A New Multi-Objective Ant Colony Optimisation Algorithm for Solving the Quadratic Assignment Problem. Vidyodaya Journal of Science. 2019;22(1).

9.

Pemarathne WPJ, Fernando TGI. Ant Colony Optimization Algorithm to Solve Electrical Cable Routing. In: International Conference on Computer Science, Electrical and Electronic Engineering (ICCEE), Kuala Lumpur, Malaysia. 2019.

10.

Ariyaratne MKA, Fernando TGI, Weerakoon S. Solving systems of nonlinear equations using a modified firefly algorithm. Swarm and Evolutionary Computation. 2019;

11.

Lekamge TC, Fernando TGI. Finding the Gender of Personal Names and Finding the Effect of Gana on Personal Names with Long Short Term Memory. In: IEEE Nineteenth International Conference on Advances in ICT for Emerging Regions (ICTer), 2019. 2019.

2018

  1. Ilmini W, Fernando TGI. Computational personality traits assessment: A review. In: IEEE International Conference on Industrial and Information Systems (ICIIS). 2018.

  2. Ariyaratne A, Fernando TGI, Weerakoon S. A self-tuning firefly algorithm to tune the parameters of ant colony system. International Journal of Swarm Intelligence. 2018;3(4):309 – 331.

  3. Nishani HPS, Weerakoon S, Fernando TGI, Liyanage M. Weerakoon-Fernando Method with accelerated third-order convergence for systems of nonlinear equations. International Journal of Mathematical Modelling and Numerical Optimisation (IJMMNO). 2018;8(3).

2017

  1. Samarawickrama AJP, Fernando TGI. A recurrent neural network approach in predicting daily stock prices an application to the Sri Lankan stock market. In: 2017 IEEE International Conference on Industrial and Information Systems (ICIIS). IEEE; 2017. p. 1–6.

  2. Ariyasingha I, Fernando TGI. Random weight-based ant colony optimisation algorithm for the multi-objective optimisation problems. International Journal of Swarm Intelligence (IJSI). 2017;3(1).

2016

  1. Ariyasingha I, Fernando TGI. A modified Pareto strength ant colony optimization algorithm for the multi-objective optimization problems. In: 2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS). IEEE; 2016. p. 1–6.

  2. Gunasinghe HN, Fernando TGI. A Computer Aided System to Identify the Face Shape of a Person using Machine Learning and Image Processing Techniques. In: 16th Annual Conference of Science Council of Asia, Colombo, Sri Lanka. http://nas-srilanka.org; 2016.

  3. Ilmini KS, Fernando TGI. Persons’ Personality Traits Recognition using Machine Learning Algorithms and Image Processing Techniques. Advances in Computer Science: an International Journal. 2016;5(1):40–4.

  4. Pemarathne WPJ, Fernando TGI. Wire and cable routings and harness designing systems with AI, a review. In: 2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS). IEEE; 2016. p. 1–6.

  5. Ariyaratne MKA, Fernando TGI, Weerakoon S. A self-tuning modified firefly algorithm to solve univariate nonlinear equations with complex roots. In: IEEE Congress on Evolutionary Computation (CEC), 2016. IEEE; 2016.

  6. Ariyaratne MKA, Fernando TGI, Weerakoon S. A self-tuning Firefly algorithm to tune the parameters of Ant Colony System (ACSFA). Cornell University Library Archive; 2016.

2015

  1. Ariyasingha I, Fernando TGI. A Performance Study for the Multi-objective Ant Colony Optimization Algorithms on the Job Shop Scheduling Problem. International Journal of Computer Applications (IJCA). 2015;132(14).

  2. Ariyaratne MKA, Fernando TGI, Weerakoon S. An Archived firefly Algorithm; A mathematical software to solve univariate nonlinear equations. 2015.

  3. Ariyaratne MKA, Fernando TGI, Weerakoon S. A Modified Firefly Algorithm to solve Univariate Nonlinear Equations with Complex Roots. In: Advances in ICT for Emerging Regions (ICTer), 2015 Fifteenth International Conference on. IEEE; 2015. p. 160–7.

  4. Ariyasingha I, Fernando TGI. Performance analysis of the multi-objective ant colony optimization algorithms for the traveling salesman problem. Swarm and Evolutionary Computation. 2015;

2014

  1. Ariyaratne MKA, Fernando TGI. A Comparative Study on Nature Inspired Algorithms with Firefly Algorithm. International Journal of Engineering and Technology. 2014;4(10):611–7.

2013

  1. Fernando TGI, Weerakoon S. Improved Newton’s  Method for functions of Two Variable. In: Proceedings of the 69th Annual Sessions of the Sri Lanka Association for the Advancement of Science, 957/E1. SLAAS; 2013. p. 255.

  2. Niroshika UAA, Meegama RGN, Fernando TGI. Active contour model to extract boundaries of teeth in dental X-ray images. In: 2013 8th International Conference on Computer Science & Education. IEEE; 2013. p. 396–401.

  3. Wanigasooriya J, Fernando TGI. Multi-Vehicle Passenger Allocation and Route Optimization for Employee Transportation using Genetic Algorithms. Internatnal Journal of Computer Applications (IJCA). 2013;64(20):1–9.

2012

  1. Abeysooriya RP, Fernando TGI. Hybrid Approach to Optimize Cut Order Plan Solutions in Apparel Manufacturing. International Journal of Information and Communication Technology Research. 2012;2(4):348–53.

  2. Fernando TGI, Kalganova T. Multi-Colony Ant Systems for Multi-Hose Routing. Internatnal Journal of Computer Applications (IJCA). 2012;59(2):1–14.

  3. Abeysooriya RP, Fernando TGI. Canonical Genetic Algorithm To Optimize Cut Order Plan Solutions in Apparel Manufacturing. Journal of Emerging Trends in Computing and Information Sciences. 2012;3(02):150–4.

2011

  1. Peiris PCP, Weerakoon S, Fernando TGI. Review of the citations of the research paper: A variant of Newton’s method with accelerated third-order convergence. In: Proceedings of the 67th Annual Sessions of the Sri Lanka Association for the Advancement of Science (SLAAS). 2011. p. 829/E1. pp. 143.

  2. Udeshani KAG, Meegama RGN, Fernando TGI. Statistical feature-based neural network approach for the detection of lung cancer in chest x-ray images. International Journal of Image Processing (IJIP). 2011;5(4):425–34.

  3. Abeysooriya R, Fernando TGI. Application of Genetic Algorithm to Optimize Cut-order Planning solutions in Apparel Industry. In: ERU Research Symposium, University of Moratuwa, Sri Lanka. 2011.

2009

  1. Thantulage GI. Ant colony optimization based simulation of 3d automatic hose/pipe routing. 2009;Thantulage GI . Ant colony optimization based simulation of 3d automatic hose/pipe routing. 2009;
  2. Salgado MDL, Weerakoon S, Fernando TGI. Degree Reduction of Bezier Curves. In: 50th Anniversary Academic Conference, University of Sri Jayewardenepura. 2009.
  3. Hettiarachchi DVS, Fernando TGI. Mobile Navigation System. In: 50th Anniversary Academic Conference, University of Sri Jayewardenepura, 2009. 2009.
  4. Bandara R, Indranama P, Makalanda GS, Fernando TGI. Sinhala Language based projects developed by the DSCS, Symposium on Localised Systems and Applications, 2009. In: Symposium on Localised Systems and Applications, Sri Lanka. 2009.
 2006
  1. Thantulage G, Kalganova T, Fernando WAC. A grid-based ant colony algorithm for automatic 3D hose routing. In: 2006 IEEE International Conference on Evolutionary Computation. IEEE; 2006. p. 48–55.
  2. Thantulage G, Kalganova T, Wilson M. Grid based and random based ant colony algorithms for automatic hose routing in 3D space. Transactions on Engineering, Computing and Technology. 2006;14:144–50.

2002

  1. Fernando TGI. Designing Sinhala Characters using Bézier Curves and B-Spline Curves. MSc Thesis, Computer Science. 2002;

2000

  1. Fernando TGI, Weerakoon S. A variant of Newton’s method with accelerated third-order convergence. Applied Mathematics Letters. 2000;13(8):87–93.

1998

  1. Fernando TGI. Improved Newton’s Method for Solving Nonlinear Equations. University of Sri Jayewardenepura, Sri Lanka; 1998.