• Indian Hand Gestures Recognition Using Convolutional Neural Network 

  Shakana, M.; Vinoharan, V.; Yasotha, R. (Department of Computer Science University of Jaffna,, 2023)

  The research focuses on developing an image classification system using a modified VGG-19 neural network to translate sign language for the deaf community. Given the initial isolation of deaf and mute individuals from ...
• A hybrid CNN-HOG based feature extraction approach for tamil handwritten village name recognition using SVM 

  Yasotha, R.; Vinusha, C.; Ramanan, M. (University of Ruhuna, 2025)

  Recognizing village names in handwritten Tamil presents a significant challenge for those working in the postal sector, due to variations in handwriting. This research aims to address this issue by developing and evaluating ...
• Detection of Fake News on Twitter Regarding COVID-19: An Analysis of Machine Learning Algorithms with n-gram Modeling 

  Yasotha, R.; Ahamed Rikas, H,.; Fathima Nuska, M.I.; Fathima Shanas, M.A.; Sharfana, A.F. (South Eastern University of Sri Lanka, 2020)

  Fake news is fabricated information that notably impacts our social lives. The massive propagation of fake news by humans or robots severely impacts society and individuals. After the massive increase in the reach of social ...
• Challenges in Implementing ERP Systems in Small Medium Manufacturing Companies in Sri Lanka 

  Yasotha, R.; Ramramanan, L. (Faculty of Computing and Technology, University of Kelaniya, 2017)

  There are numerous information systems available in the market to be selected for implementation in manufacturing organizations. When many information systems manually intergraded for management reporting for a company, ...
• A hybrid CNN-SVM model for Tamil handwritten character recognition 

  Nemitha, R.; Ramanan, M.; Yasotha, R. (Faculty of Science, University of Ruhuna, 2024)

  Recognizing offline Tamil handwriting is a very challenging task because of the complex linguistic structures used by writers, and similarities in the appearance of Tamil characters and individual differences observed in ...
• NFC தொழில்நுட்பமும் அதன் பயன்பாடுகளும் 

  Thirukumaran, S. (Section B (Applied Sciences), Jaffna Science Association, Sri Lanka, 2019)
• Ground to Cloud Lightning Flash Currents and Electric Fields: Interaction with Aircraft and Production of Ionosphere Sprites 

  Hoole, P.R.P.; Thirukumaran, S.; Harikrishnan, R.; Jeevan, K.; Hoole, S.R.H. (Hindawi Publishing Corporation, 2012)

  This paper presents for the first time a case for the importance of ground to cloud (upward leader) lightning flash parameters for safety testing of direct aircraft-lightning interaction and protection of wind turbines, ...
• Electrostatic Discharges (ESD): Rate of Rise of Currents and Radiated Electric Fields 

  Thirukumaran, S.; Hoole, P.R.P.; Harikrishnan, R.; Jeevan, K.; Hoole, S.R.H. (The Electromagnetics Academy, 2012)

  Electrostatic Discharge (ESD) is a major concern in Microelectromechanical Systems (MEMS) as well as in large systems such as in atmospheric electricity. We focus on ESD rate of rise of currents and the radiated electric ...
• Ground to Cloud and Cloud to Ground Lightning Flashes: A Comparative Study 

  Thirukumaran, S.; Hoole, P.R.P; Harikrishnan, R.; Jeevan, K.; Hoole, S.R.H. (The Electromagnetics Academy, 2012)

  Since cloud to ground lightning °ashes are the most common type of earth flashes, it has received much attention with reference to obtaining the engineering parameters such as the electric charge moment (QL, where Q is the ...
• Aircraft-Lightning Electrodynamics using the Transmission Line Model. Part I: Review of the Transmission Line Model 

  Hoole, P. R. P.; Thirukumaran, S.; Hoole, S. R. H.; Pirapaharan, K.; Jeevan, K.; Harikrishnan, R. (The ElectroMagnetics Academy (TEMA), 2013)

  This work presents a self-consistent and self-contained model to study and analyze aircraft-lightning electrodynamics. In this paper we review the well developed and reported transmission line model of the cloud-to-ground ...
• Ground to Cloud Lightning Flash Currents and Electric Fields: Interaction with Aircraft and Production of Ionosphere Sprites 

  Hoole, P. R. P.; Thirukumaran, S.; Ramiah, H.; Kanesan, J.; Hoole, S.R.H. (Hindawi Publishing Corporation, 2014)

  This paper presents for the first time a case for the importance of ground to cloud (i.e. upward leader) lightning flash parameters for safety testing of aircraft-lightning interaction, protection of wind turbines, as well ...
• A New Electric Dipole Model for Lightning-Aircraft Electrodynamics 

  Thirukumaran, S.; Hoole, S.R.H. S.R.H.; Hoole, P.R.P.; Harikrishnan, R.; Jeevan, K.; Pirapaharan, K. (Emerald Group Publishing Limited, 2014)

  As commercial and military aircraft continue to be subject to direct lightning flashes, there is a great need to characterize correctly the electrical currents and electric potential fluctuations on an aircraft to determine ...
• Two-Dimensional Free Space Mesh Generation for Cloud-to-Ground Lightning Simulation using Finite Difference Method 

  Kajaluxshy, N.; Thirukumaran, S. (Open University of Sri Lanka (OUSL), 2016)

  The natural lightning environment is a consequence of the interaction of the lightning flash with the aircraft’s body. The aircraft can, therefore, be a part of the natural lightning discharge process. Hence, the aircraft ...
• Artificial Neural Network based Emotions Recognition System for Tamil Speech 

  Dayani, P.; Thirukumaran, S. (Faculty of Computing and Technology, University of Kelaniya, 2017)

  Emotion has become the important part in communication between human and machine, so the detection of emotions has become important part in pattern recognition through Artificial Neural Network (ANN). Human's emotions can ...
• Finite Element Method based Triangular Mesh Generation for Aircraft-Lightning Interaction Simulation 

  Vinotha, K.; Thirukumaran, S. (Faculty of Computing and Technology, University of Kelaniya, 2018)

  Lightning is a natural electrical discharge process. Most common lightning strike is Cloud-to-Ground. It occurs when the negative charges accumulated at the bottom of the thundercloud traverse towards the ground to neutralize ...
• Artificial Neural Network Based Approach for Speech Emotion Recognition of Sinhala Language 

  Nawoda, D.; Thirukumaran, S. (Postgraduate Institute of Science (PGIS), University of Peradeniya, 2019)

  The Sinhala language suffers from the lack of appropriate emotional speech database for research into speech emotion recognition. In this paper, we represent our efforts to develop an emotional speech database, as it would ...
• Speech Emotion Classification Analysis using Short-term Features 

  Thirukumaran, S.; Archana, A.F.C. (Faculty of Science, Eastern University, Sri Lanka, 2017)

  Speech is an auditory signal produced from the human speech production system used to express ourselves. In this era, speech signals are also used in biometric identification technologies and interacting with machines, ...
• Analysis of Emotional Speech Recognition Using Artificial Neural Network 

  Archana, A.F.C.; Thirukumaran, S. (Faculty of Computing and Technology, University of Kelaniya, 2016)

  This paper presents an artificial neural network based approach for analyzing the classification of emotional human speech. Speech rate and energy are the most basic features of speech signal but they still have significant ...
• Modeling and solving timetabling problems of academic departments using linear programming techniques 

  Linosh, N.E.; Priyatharsan, U. (Wayamba University of Sri Lanka Sri Lanka, 2016)

  Time table is said to be the second clock which indicates all the activities undertaken in all kinds of academic institutions. A well-constructed timetable establishes a natural rhythm and routine, which can be comforting ...
• Brain Network Measures for Groups of Nodes: Application to Normal Aging and Alzheimer's Disease 

  Srivishagan, S.; Perera, A.A.I.; Hojjat, A.; Ratnarajah, N. (Mary Ann Liebert- Sage, 2020)

  Background: The nodal brain network measures (e.g., centrality measures) are defined for a single node and the global network measures (e.g., global efficiency) are defined for the whole brain in the literature. But a ...

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