• Automated gastrointestinal abnormalities detection from endoscopic images 

  Gowtham, P.; Niranjan, M.; Kaneswaran, A. (IEEE, 2022)

  Impressive high performance reported in the use of machine learning on computer vision problems is often due to the availability of very large datasets with which deep neural networks can be trained. With inference from ...
• Astra: Autonomous Server less Analytics with Cost-Efficiency and QoS-Awareness 

  Jananie, J.; Li Chen; Fei Xu; BoLi (IEEE, 2021)

  Withtheabilitytosimplifythecodedeployment withone-clickuploadandlightweightexecution,serverlesscomputinghasemergedasapromisingparadigmwithincreasing popularity.However,thereremainopenchallengeswhenadapting data-intensive ...
• Astrea: Auto-Serverless Analytics Towards Cost-Efficiency and QoS-Awareness 

  Jananie, J.; LiChen; FeiXu; BoLi (IEEE, 2022)

  Withtheabilitytosimplifythecodedeploymentwithone-clickuploadandlightweightexecution,serverlesscomputinghas emergedasapromisingparadigmwithincreasingpopularity.However,thereremainopenchallengeswhenadaptingdata-intensive ...
• Comprehensive Machine Learning Analysis on the Phenotypes of COVID-19 Patients Using Transcription Data 

  Pratheeba, J. (Research gate, 2022)

  Purpose: Evolving technologies allow us to measure human molecular data in a wide reach. Those data are extensively used by researchers in many studies and help in advancements of medical field. Transcriptome, ...
• SARS‑CoV‑2 Diagnosis Using Transcriptome Data: A Machine Learning Approach 

  Pratheeba, Jeyananthan (Springer Nature, 2023)

  SARS-CoV-2 pandemic is the big issue of the whole world right now. The health community is struggling to rescue the public and countries from this spread, which revives time to time with different waves. Even the vaccination ...
• Role of different types of RNA molecules in the severity prediction of SARS-CoV-2 patients 

  Pratheeba, Jeyananthan (Elsevier, 2023)

  SARS-CoV-2 pandemic is the current threat of the world with enormous number of deceases. As most of the countries have constraints on resources, particularly for intensive care and oxygen, severity prediction with high ...
• ACTS:AutonomousCost-EfficientTask OrchestrationforServerlessAnalytics 

  Jananie, Jarachanthan; Li, Chen; Fei, Xu (IEEE, 2023)

  —Serverlesscomputinghasbecomeincreasinglypopularforcloudapplications,duetoitscompellingpropertiesof high-levelabstractions,lightweightruntime,highelasticityand pay-per-usebilling.Inthisrevolutionarycomputingparadigm ...
• Automated gastrointestinal abnormalities detection from endoscopic images 

  Gowtham,P.; Niranjan,M.; Kaneswaran, A. (16th IEEE International Conference on Industrial and Information Systems (ICIIS) 2021, 2021)

  Impressive high performance reported in the use of machine learning on computer vision problems is often due to the availability of very large datasets with which deep neural networks can be trained. With inference from ...
• Predicting Movie Ratings from Audience Behaviors on Movie Trailers 

  Rathnayaka, S.J.J.; Ranathunga, C.J.; Navarathna, R.; Kaneswaran, A.; Balathasan, Y. (10th International Conference on Information and Automation for Sustainability (ICIAfS), 2021)

  Movie rating is a measure of viewer’s reaction to movie performance at the box office and also a key feature to garner publicity. Movie ratings are feedback measures given by a subset of the audience voluntarily. If the ...
• Environmental Monitoring System Using USRP and Single Board Computer 

  Muralitharan, R. (University of Jaffna, 2021)

  Universal Software Defined Radio Peripheral (USRP), GNU Radio, and Raspberry Pi board (single board computer) are used to establish a simple communication network. The communication network is configured to monitor the ...
• Disease Detection System from Heart Sounds 

  Liyanaarachchi, M.R; Muthalif, F.A.; Perera, K.I.S.; Selvarathnam, M.; Dayananda, Dr. N.W.N. (University of Jaffna, 2011)

  This paper presents a methodology to diagnose some heart diseases which can be identified using heart sounds. As the first stage, audio files in . wav format are acquired using an electronic stethoscope and entered to a ...
• Open Source Mobile Network 

  Sajeev, U.; Muralitharan, R.; Ramsan, M.M.M.; Zamrath, M.N.M.; Dias, D. (IEEE, 2016)

  — We present the development and testing of a cellular network built on open source technologies. This network supports voice calls and text messages within the network or between networks. The main objective of this work ...
• Contextual spell checking for Tamil Language 

  Jananie, S.; Sarveswaran, K. (14th Tamil Internet 2015, Singapore, 2015)

  A spell checker is a basic necessity for composing text in any language. However, for the language like Tamil, due to its complex nature, a little amount of reportable work have been done compare to languages like English ...
• Hybrid approach for spell checking of tamil language 

  Jananie, S.; Sarveswaran, K. (Proceedings of the Peradeniya Univ. International Research Sessions, Sri Lanka, 2014)

  The spell checkers are specialised application programs that flags words in a document that may be misspelled. Though there are several spell checkers available for languages like English, no fully functional application ...
• Experimental investigation on the seismic performance of PP-band strengthening stone masonry houses 

  Sathiparan, N.; Sakurai, K.; Numada, M.; Meguro, K. (Springer, 2013)

  The collapse of stone masonry is one of the greatest causes of death in major earthquake events around the world. This paper investigates a recently developed retrofitting technology specifically aimed at preventing or ...
• Tool Support for Traceability of Software Artefacts 

  Kamalabalan, K.; Uruththirakodeeswaran, T.; Thiyagalingam, G.; Wijesinghe, D.B.; Perera, I,; Meedeniya, D. (IEEE, 2015)

  Artefact management in a software development process is a challenging problem. Often there is a wide variety of artefacts, which are maintained separately within a software development process, such as requirement ...
• Establishing traceability links among software artefacts 

  Wijesinghe, D.B.; Kamalabalan, K.; Uruththirakodeeswaran, T.; Thiyagalingam, G.; Perera, I.; Meedeniya, D. (IEEE, 2014)

  Artefact management in a software development process is a difficult problem in software engineering. Usually there is a wide variety of artefacts, which are maintained separately within a software development process such ...
• A Review on processing of data streams 

  Arumainayagam, P.; Charles, E.Y.A.; Kodituwakku, S.R. (Research journal of computer systms engineering - an international journal, 2011)
• Ontology Development for Sri Lankan Medicinal Plants: A Knowledge Representation 

  Jeyananthan, P.; Charles, E.Y.A.; Atukorale, D.A.S. (SRI LANKA ASSOCIATION FOR ARTIFICIAL INTELLIGENCE, 30, 2015)

  Our ancestors consumed medicinal plants through their day to day activities which leads them to a long and healthy life. It plays an important role in their life. But in this fast moving world the value of these plants are ...
• classification and regression analysis of lung tumors from multi-level gene expression data 

  Jeyananthan, P.; Niranjan, M. (IEEE, 2019)

  We study classification and regression problems in lung tumors where high throughput gene expression is measured at multiple levels: epi-genetics, transcription and protein. We uncover the correlates of smoking and ...

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