• Behaviour of concrete specimens retrofitted with bio-based polyurethane coatings under dynamic loads 

  Somarathna, H.M.C.C.; Raman, S.N.; Mohotti, D.; Mutalib, A.A.; Badrie, K.H. (Elsevier, 2021)

  Experimental investigationwasconductedusingconcretespecimenstoassesstheeffectivenessofbiobasedpolyurethane(PU)coatingsynthesizedfrompalmkerneloilinenhancingthedynamicmechanical responseofconcretespecimensunderquasi-stati ...
• 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 ...
• Smart Shopping Trolley 

  Vinoth Kumar, L.; Poornima, B.; Nithusiga, S.; Anitha valli, R. (International Research Journal of Engineering and Technology (IRJET), 2020)

  This paper targeted to reduce the Queue at a billing counter in a shopping complex. The system does the same by displaying the price of the product inside the cart. In this way the customer can directly pay the amount at ...
• Artificial Intelligence-Assisted Loop Mediated Isothermal Amplification(AI-LAMP) for Rapid Detection of SARS-CoV-2 

  Rohaim, M.A.; Clayton, E.; Sahin, I.; Julianne, V.; Khalifa, M.E.; Al-Natour, M.Q.; Bayoumi, M.; Poirier, M.C.; Branavan, M.; Mukunthan, T.; Chaudhry, N.S.; Ravinder, S.; Amy, B.; Peter, B.; Hacking, W.; Botham, J.; Boyce, J.; Wilkinson, H.; Williams, C.; Whittingham-Dowd, J.; Shaw, E.; Matt Hodges; Lisa Butler; Bates, M.D.; Roberto La, R.; Balachandran, V.; Anil, F.; Munir, M. (MDPI, 2020)

  Untilvaccinesandeffectivetherapeuticsbecomeavailable,thepracticalsolutiontotransit safelyoutofthecurrentcoronavirusdisease19(CoVID-19)lockdownmayincludetheimplementation ofaneffectivetesting,tracingandtrackingsystem.Howe ...
• 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 ...
• Controls of solar power systems for grid connected & islanded mode operations. 

  Ravindran, N.; Kokulavasan, T.; Rajan, R.; Yuvaraj, M.; Ahilan, K.; Atputharajah, A. (University of Jaffna, 2022)

  Continuous supply of electricity, when there are supply constrains is a mar challenge. Environmental concerns and nonavailability of fossil fuels increases the demand for the use of renewable energy sources such as solar. ...
• Micro-grid Concept for Coordinated Control of Renewable Energy Power Plants and a Way to Integrate with Main Grid 

  Anuraj, U.; Yuvaraj, M.; Rajan, R.; Hameed, I.; Arunprakash, N.; Sajeeva, J.; Kiriparan, B.; Yaalini, B.; Thananjeyan, S.; Tharsika, T.; Ahilan, K.; Atputharajah, A. (IEEE, 2022)

  Many research papers discussed the increasing fossil fuel cost. As the cost is increasing in the present scenario it is necessary to incorporate Renewable Energy (RE) technologies to take primary role in generating ...
• Utilization of Bottom Ash for Clay Mine Rehabilitation 

  Suloshini, S.; Ranathunga, A.S.; Kulathilaka, S.A.S.; Gunawardana, W.B.; Mapa, M.M.S.T.M. (IEEE, 2022)

  Attheendofminingactivities,claymineswereabandonedduetothecost andnon-availabilityoffillingmaterials.Theseabandonedclayminescauseadverse environmentalandsocialimpacts.Inaddition,largequantitiesofbottomash(BA) aregenerated ...
• Detection of Mosquito Breeding Areas using Semantic Segmentation 

  Pravina, M.; Maheshi, B.D. (IEEE, 2022)

  The combination of deep learning (DL) and convolutional neural networks (CNN) with image analysis to locate stagnant water will play a crucial role in the dengue control process. This paper aims to automatically segment ...
• Deep Learning for Arbitrary-Shaped Water Pooling Region Detection on Aerial Images 

  Pravina, M.; Maheshi, B.D. (IEEE, 2022)

  Recent rapid development in Unmanned Aerial Vehicles (UAVs) have extensively promoted several types of civilian tasks. In this paper, we propose and compare two different deep learning and convolutional neural network ...
• Explainable Deep Learning Approach for Multi label Classification of Antimicrobial Resistance with Missing Labels 

  Mukunthan, T.; Brian, G.; Roberto La, R.; Anil, F. (IEEE, 2022)

  PredictingAntimicrobialResistance(AMR)fromgenomicsequencedatahasbecomea significantcomponentofovercomingtheAMRchallenge,especiallygivenitspotentialforfacilitatingmore rapiddiagnosticsandpersonalisedantibiotictreatments.W ...
• Investigating the hydration characteristics of a new composite cementitious binder containing of slag and calcite 

  Chuang, L.; Krishnya, S.; Ogino, M.; Owaki, E.; Elakneswaran, Y. (Elsevier, 2022)

  The influence of the filler content, filler fineness and water to powder ratio (W/P) on hydration kinetics and microstructure behaviour of a new clinker-free material made of calcium hydroxide, blast furnace slag (BFS), ...
• Modeling of hydration products and strength development for high-volume fly ash binders 

  Krishnya, S.; Herath, C.; Elakneswaran, Y.; Gunasekara, C.; Law, D.W.; Sujeeva, S. (Elsevier, 2022)

  Partial replacement of cement using fly ash, as an environmentally friendly approach, has gained increased attention in construction practice. The realistic prediction of microstructure and mechanical properties of fly ash ...
• Numerical Simulation of ChlorideI on Ingression in Mortar incorporating the Effect of ITZ using an integrated COMSOL-IPHREEQC Framework 

  Krishnya, S.; Elakneswaran, Y.; Yoda, Y.; Kitagaki, R. (Springer, 2023)

  Thepredictionofchlorideingressionincement-basedmaterialhas gainedagreatdealofinterestamongresearchersasitcauseslong-termstructuraldamageinbuildingsbychloride-inducedreinforcementcorrosion.TheCl− diffusioninmortarisinflue ...
• Effect of Carbonation on Microstructure of Cement Pastes with Different Water-to-Cement Ratios 

  Kopitha, K.; Krishnya, S.; Elakneswaran, Y.; Kitagaki, Y.; Yoda, Y.; Tsujino, M.; Nishida, A. (Springer, 2023)

  The durability of the structures is the main concern in the field of engineering. Reinforcement corrosion is the most common cause of concrete structural deterioration. Corrosion of reinforcement results primarily from ...
• Development and verification of an integrated hydration, geochemical and transport model for the hydrated cement paste exposed to an aggressive chemical environment 

  Krishnya, S.; Kopitha, K.; Yoda, Y.; Kitagaki, R.; Elakneswaran, Y. (Elsevier, 2023)

  This study established a new transport model by using the COMSOL-IPHREEQC interface to simulate the changes in the morphology of hydrated cement paste due to the diffusion of carbon dioxide and chloride ion. A series of ...
• VIDIIA Hunter : a low-cost, smartphone connected, artificial intelligence-assisted COVID-19 rapid diagnostic platform approved for medical use in the UK 

  Aurore, C.P.; Riaño Moreno, R.D.; Takaindisa, L.; Jessie, C.; Mehat, J.W.; Abi, H.; Rohaim, M.A.; Williams, C.; Burkhart, P.; Conlon, C.; Wilson, M.; McClumpha, M.; Anna Stedman; Guido Cordoni; Branavan, M.; Mukunthan, T.; Chaudhry, N.S.; Nicolas Locker; Anil, F.; Balachandran, W.; Bullen, M.; Collins, N.; Rimer, D.; Horton, D.L.; Munir, M.; Roberto, M.L.R. (Frontiers in Molecular Biosciences, 2023)

  Accurate and rapid diagnostics paired with effective tracking and tracingsystemsarekeytohaltingthespreadofinfectiousdiseases,limiting the emergenceofnewvariantsandtomonitorvaccineefficacy.Thecurrentgold standard test ...
• Trans AMR: An Interpretable Transformer Model for Accurate Prediction of Antimicrobial Resistance using Antibiotic Administration Data 

  Mukunthan, T.; Wenwu, W.; Michael, K.; Roberto Lo, R.; Anil, F. (IEEE, 2023)

  AntimicrobialResistance(AMR)isagrowingpublicandveterinaryhealthconcern,andthe abilitytoaccuratelypredictAMRfromantibioticsadministrationdataiscrucialforeffectivelytreatingand managinginfections.Whilegenomics-basedapproac ...
• Rectified Classifier Chains for Prediction of Antibiotic Resistance from Multi-Labelled Data with Missing Labels 

  Mukunthan, T.; Brian, G.; Roberto La, R.; Anil, F. (IEEE, 2023)

  PredictingAntimicrobialResistance(AMR)fromgenomicdatahasimportantimplicationsforhumanandanimalhealthcare, andespeciallygivenitspotentialformorerapiddiagnosticsandinformedtreatmentchoices.Withtherecentadvancesinsequencing ...

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