Publications - Conference Proceedings - Full Papers

Publications - Conference Proceedings - Full Papers

2024

 

  1. P. Dharmakeerthi, R. Rupasingha, and B. Kumara, "CNN-Based Deep Learning Approach for Prioritization of Bug Reports," in 2024 4th International Conference on Advanced Research in Computing (ICARC), 2024, pp. 31-36.
  2. M. Shamalka, K. Banujan, and B. Kumara, "Blockchain and Smart Contract Based Approach to Mitigate Software Piracy," in 2024 4th International Conference on Advanced Research in Computing (ICARC), 2024, pp. 247-252.
  3. K. Mahesha, B. Kumara, and K. Banujan, "Movie Recommendation System Based on User Ratings and Critique," in 2024 4th International Conference on Advanced Research in Computing (ICARC), 2024, pp. 218-222.
  4. S. J. M. J. Nadeesha and W.V.S.K. Wasalthilaka, "Sinhala Sign Language Detection Approach for Deaf People Using Human Pose Estimation," in 2024 International Research Conference on Smart Computing and Systems Engineering (SCSE), 2024, pp. 1-6. 
  5. S. P. Puviskar, W.V.S.K. Wasalthilaka, and B. Kumara, "Performance Evaluation of Clustering Algorithms for Enhancing Test Case Prioritization in Regression Testing," in 2024 4th International Conference on Advanced Research in Computing (ICARC), 2024, pp. 300-305. 
  6. T. Priyadarshani, K. Banujan, and B. Kumara, "Classifying Team Players in Software Industry Based on Personality Traits: An Expert-Guided Machine Learning Approach," in 2024 4th International Conference on Advanced Research in Computing (ICARC), 2024, pp. 67-72.
  7. H. Nirmani and U. Kudagamage, "Ensemble Approach for Early Prediction of Malnutrition Level of Children: A Case Study on Children Under Five Years Old," in 2024 4th International Conference on Advanced Research in Computing (ICARC), 2024, pp. 91-96.
  8. T. Perera, R. Rupasingha, and B. Kumara, "Deep Learning-Based Ensemble Model for Predicting the Lifestyle Status of a Person," in 2024 4th International Conference on Advanced Research in Computing (ICARC), 2024, pp. 25-30.
  9. H. Senevirathne, B. Kumara, and K. Banujan, "YouTube Video Categorization Based on Closed Captions," in 2024 4th International Conference on Advanced Research in Computing (ICARC), 2024, pp. 212-217
  10. V. Abishethvarman, K. Banujan, B. Kumara, and N. Ravikumar, "Unmasking Fake News with Emotional Cues: A Comparative Study of Sentiment Reasoning Models," in 2024 4th International Conference on Advanced Research in Computing (ICARC), 2024, pp. 195-200.
  11. A. Munasinghe and K. Chathumini, "Motion Deblurring Through Autoencoder-Based Image Restoration," in 2024 4th International Conference on Advanced Research in Computing (ICARC), 2024, pp. 137-142.
  12. M. A. F. Saroth, P.M.A.K. Wijerathne and B. T. G. S. Kumara, "Automatic Multi-Class Non-Functional Software Requirements Classification Using Machine Learning Algorithms," in 2024 International Research Conference on Smart Computing and Systems Engineering (SCSE), 2024, pp. 1-6
  13. T. A.G.D.S. Thennakoon, P.M.A.K. Wijerathne  and B.T.G.S. Kumara, "Recommend Source Codes Considering Designing Patterns using Machine Learning Algorithm," 2024 International Research Conference on Smart Computing and Systems Engineering (SCSE), 2024, pp. 1-6

2023

 

  1. S. Karunarathne, S. Vasanthapriyan, and K. Chathumini, "Utilizing Ensemble Learning in Detecting Parkinson's Disease with Reduced Facial Expressions and Hand-Written Drawings," in 2023 7th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI), 2023, pp. 1-6.
  2. R. Ajikaran, A. I. Hewarathna, V. Palanisamy, C. Joseph, and S. Thuseethan, "An Image Analysis-Based Automated Method using Deep Learning for Grain Counting," in 2023 IEEE 17th International Conference on Industrial and Information Systems (ICIIS), 2023, pp. 25-30.
  3. D. Pamod, J. Charles, A. I. Hewarathna, P. Vigneshwaran, S. Lekamge, and S. Thuseethan, "Hybrid Transfer Learning Approach for Emotion Analysis of Occluded Facial Expressions," in International Conference on Recent Trends in Image Processing and Pattern Recognition, 2023, pp. 387-402.
  4. W.V.S.K.Wasalthilaka, C Samarajeewa and T Kartheeswaran “Automated Physical Fitness Recommendation System for Driving License” in 5th International Conference on Advancements in Computing (ICAC), 2023, pp. 798-803.
  5. H. Sajinika, S. Vasanthapriyan, and P.M.A.K Wijeratne, "Twitter Sentiment Analysis and Topic Modeling for Online Learning," in 2023 3rd International Conference on Advanced Research in Computing (ICARC), 2023, pp. 262-267.
  6. S. Adeeba, K. Banujan, B. T. G. S. Kumara, “The Role of Social Media (Twitter) in Analysing Home Violence: A Machine Learning Approach,” 2023 International Research Conference on Smart Computing and Systems (SCSE), 2023, pp. 1-6.
  7. S. Adeeba, K. Banujan, B. S. Kumara, and Z. Li, "Twitter Mining for Detecting Home Violence," in 2023 3rd International Conference on Advanced Research in Computing (ICARC), 2023, pp. 142-147.
  8. M. Thanoshan, K. Banujan, B. Kumara, S. Prasanth, Z. Li, and I. Paik, "Code Clone Detection Using Boosting Algorithms," in 2023 3rd International Conference on Advanced Research in Computing (ICARC), 2023, pp. 244-249.
  9. H. Gunawardhana, B. T. G. S. Kumara, K. Rathnayake, P. M. Jayaweera, “Effectiveness of Machine Learning Algorithms on Battling Counterfeit Items in E-commerce Marketplaces,” 2023 International Research Conference on Smart Computing and Systems (SCSE), 2023, pp. 1-7.
  10. S. Vaanathy, C. Joseph, and S. Lekamge, "Machine Learning Approach to Detect the Anxiety and Depression Level of Video Game Dependent Individuals," in 2023 IEEE 17th International Conference on Industrial and Information Systems (ICIIS), 2023, pp. 329-334.
  11. S. Athapaththu and U. P. Ishanka, "Plant Leaf Recognition Using Texture, Colour, and Vein Density Features," in 2023 3rd International Conference on Advanced Research in Computing (ICARC), 2023, pp. 102-107.

2022

 

  1. H. Sajinika, S. Vasanthapriyan, and P. Wijeratne, "Twitter Sentiment Analysis on Online Learning During COVID-19 Pandemic," in 2022 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), 2022, pp. 222-226.
  2. S. Adeeba, B. Kuhaneswaran, and B. Kumara, "Prediction of Weight Range of Neonate Using Machine Learning Approach," in 2022 International Conference on Innovations in Science, Engineering and Technology (ICISET), 2022, pp. 427-432.
  3. S. Adeeba, K. Banujan, B. Kumara, and S. Prasanth, "A Comparative Study of Machine Learning Algorithms for Predicting Weight Range of Neonate," in 2022 International Conference on Decision Aid Sciences and Applications (DASA), 2022, pp. 869-873.
  4. M. Silva, R. Rupasingha, and B. Kumara, "A Comparative Study of Predicting Students’ Academic Performance Using Classification Algorithms," in 2022 2nd International Conference on Advanced Research in Computing (ICARC), 2022, pp. 385-390.
  5. K. Senadhira, R. Rupasingha, and B. Kumara, "Sentiment analysis on twitter data related to online learning during the covid-19 pandemic," in 2022 International Research Conference on Smart Computing and Systems Engineering (SCSE), 2022, pp. 131-136.
  6. D. Pamod, C. Joseph, V. Palanisamy, and S. Lekamge, "Emotion analysis of occluded facial expressions-a review of literature," in 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS), 2022, pp. 423-429.
  7. A. Nawodya and B. Kumara, "Machine learning approach to detect online shopping addiction," in 2022 2nd International Conference on Advanced Research in Computing (ICARC), 2022, pp. 78-83.
  8. B. Kumara, G. Herath, P. Wijeratne, and K. Banujan, "Work From Home After Covid-19: Machine Learning-Based Approach to Predict Employee's Choice," in 2022 International Conference on Decision Aid Sciences and Applications (DASA), 2022, pp. 147-150.
  9. W. Kithulwatta, K. Jayasena, B. Kumara, and R. Rathnayaka, "Performance evaluation of docker-based apache and nginx web server," in 2022 3rd International Conference for Emerging Technology (INCET), 2022, pp. 1-6.
  10. W. Kithulwatta, K. Jayasena, B. Kumara, and R. Rathnayaka, "Docker Containerized Infrastructure Orchestration with Portainer Container-native Approach," in 2022 3rd International Conference for Emerging Technology (INCET), 2022, pp. 1-6.
  11. P. Kavitha, J. Charles, and L. Lekamge, "A deep learning based approach for Janya raga classification in carnatic music," in 2022 6th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI), 2022, pp. 1-6.
  12. K. Karunarathna, R. Rupasingha, and B. Kumara, "Classifying Documents based on Formal and Informal Writing Styles using Machine Learning Algorithms," in 2022 2nd International Conference on Advanced Research in Computing (ICARC), 2022, pp. 373-378.
  13. K. Kandambi, J. Charles, and L. Lekamge, "Kansei Color Concepts for E-Commerce Website Design–A Case Study Using Designerwear Websites," in 2022 Moratuwa Engineering Research Conference (MERCon), 2022, pp. 1-6.
  14. S. Kajanan, B. S. Kumara, K. Banujan, S. Prasanth, and K. Manitheepan, "Classify the Outcome of Arterial Blood Gas Test to Detect the Respiratory Failure Using Machine Learning," in 2022 International Conference on Decision Aid Sciences and Applications (DASA), 2022, pp. 1139-1143.
  15. M. Ifham, B. S. Kumara, B. Kuhaneswaran, P. Senthan, and E. B. Ekanayake, "Classifying Source Code Using Boosting Algorithms," in 2022 2nd International Conference on Advanced Research in Computing (ICARC), 2022, pp. 355-360.
  16. K. Hemachandra, K. Jayasena, W. Rankothge, and M. Wijesiri, "Investigating the Performance in SDN Based Data Centers Under Different Network Topologies," in 2022 2nd International Conference on Advanced Research in Computing (ICARC), 2022, pp. 361-366.
  17. D. Dayananda, S. Vasanthapriyan, K. Chathumini, and M. Fernando, "Modeling and Simulation of Online Examinations Procedures in COVID-19 Pandemic Using Arena Software: A Case Study," in 2022 5th International Conference on Computing and Informatics (ICCI), 2022, pp. 163-168.
  18. H. Bandara, J. Charles, and L. Lekamge, "Using Sentiment Analysis to Explore the Accommodation Experience in the Sharing Economy through Topic Modeling," in 2022 4th International Conference on Advancements in Computing (ICAC), 2022, pp. 156-161.

2021

 

  1. T. Yogarajah, B. Kuhaneswaran, and S. Vasanthapriyan, "Evaluation and Validation of Subfertility Ontology and Decision Support System," in 2021 5th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI), 2021, pp. 1-6.
  2. K. Yatapala and B. Kumara, "Detection of suicide ideation in Twitter using ANN," in 2021 6th International conference on information technology research (ICITR), 2021, pp. 1-5.
  3. D. Weerasinghe, B. Kumara, B. Kuhaneswaran, and S. Gunatilake, "Neural Network-based Model for Classifying the Water Sources Based on the Physico-Chemical Parameters," in 2021 International Conference on Data Analytics for Business and Industry (ICDABI), 2021, pp. 404-408.
  4. D. Weerasinghe, B. Kumara, B. Kuhaneswaran, and S. Gunathilake, "Identifying the Type of Chronic Kidney Disease Based on Heavy Metals in Soil using ANN," in 2021 Third International Sustainability and Resilience Conference: Climate Change, 2021, pp. 270-274.
  5. S. Thuseethan, C. Wimalasooriya, and S. Vasanthapriyan, "Deep COVID-19 recognition using chest X-ray images: a comparative analysis," in 2021 5th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI), 2021, pp. 1-5.
  6. K. Thilakarathne, B. Kumara, and B. Kuhaneswaran, "Analyzing Tourists’ Perceptions of Tourism Destinations using YouTube Comments," in 2021 International Conference on Data Analytics for Business and Industry (ICDABI), 2021, pp. 301-305.
  7. W. Ruwantha, K. Banujan, and K. Btgs, "LSTM and Ensemble Based Approach for Predicting the Success of Movies Using Metadata and Social Media," in 2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), 2021, pp. 626-630.
  8. W. Rathnayka and K. Jayasena, "Permissioned blockchain platform to enhance scalability, security and performance issues in livestock farms in sri lanka," in 2021 3rd International Conference on Advancements in Computing (ICAC), 2021, pp. 461-466.
  9. R. Rathnayake, B. Kumara, and E. Ekanayake, "CNN-Based Priority Prediction of Bug Reports," in 2021 International Conference on Decision Aid Sciences and Application (DASA), 2021, pp. 299-303.
  10. R. Ranapana and K. Jayasena, "Novel approach for load balancing in mobile cloud computing," in 2021 6th International Conference on Information Technology Research (ICITR), 2021, pp. 1-6.
  11. B. Kumara, K. Banujan, S. Prasanth, and G. Herath, "Constructing global researchers network using google scholar profiles for collaborator recommendation systems," in 2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), 2021, pp. 274-279.
  12. W. Kithulwatta, K. Jayasena, B. Kumara, and R. Rathnayaka, "Docker incorporation is different from other computer system infrastructures: A review," in 2021 International Research Conference on Smart Computing and Systems Engineering (SCSE), 2021, pp. 230-236.
  13. K. Kekulanadara, B. Kumara, and B. Kuhaneswaran, "Machine learning approach for predicting air quality index," in 2021 International Conference on Decision Aid Sciences and Application (DASA), 2021, pp. 622-626.
  14. H. Jayasanka, B. Kumara, and B. Kuhaneswaran, "CNN Based Costume Categorization Approach to Bootstrap the Costume Recommendations," in 2021 International Conference on Decision Aid Sciences and Application (DASA), 2021, pp. 741-744.
  15. J. Jayakody and B. Kumara, "Sentiment analysis on product reviews on twitter using Machine Learning Approaches," in 2021 International Conference on Decision Aid Sciences and Application (DASA), 2021, pp. 1056-1061.
  16. M. Ifham, B. Kumara, and B. Kuhaneswaran, "Unsupervised Learning Approach for Clustering Source Code based on Functionalities," in 2021 International Conference on Decision Aid Sciences and Application (DASA), 2021, pp. 304-308.
  17. M. Ifham, B. Kumara, and E. Ekanayake, "Ensemble learning approach to classify user defined functions in Java programs," in 2021 International Conference on Decision Aid Sciences and Application (DASA), 2021, pp. 533-537.
  18. H. Hettikankanama, S. Vasanthapriyan, and K. T. Rathnayake, "Machine Learning-Based Approach for Opinion Mining and Sentiment Polarity Estimation," in Inventive Computation and Information Technologies: Proceedings of ICICIT 2020, 2021, pp. 601-613.
  19. H. Gunasinghe, J. McKelvie, A. Koay, and M. Mayo, "Comparison of pretrained feature extractors for glaucoma detection," in 2021 IEEE 18th international symposium on biomedical imaging (ISBI), 2021, pp. 390-394.
  20. D. Dayananda, S. Vasanthapriyan, K. Chathumini, and M. Fernando, "A Systematic Literature Review on Online Exams in COVID-19 Pandemic: Assessment Methods, Students' Preferences, Dishonest Behaviors and Challenges in Online Exams," 2021 From Innovation To Impact (FITI), vol. 1, pp. 1-6, 2021.
  21. D. Dayananda, S. Vasanthapriyan, K. Chathumini, and M. Fernando, "Online exams in COVID-19 pandemic: a survey-based study at a state university in Sri Lanka," in 2021 From Innovation To Impact (FITI), 2021, pp. 1-6.
  22. D. Dayananda, K. Chathumini, and S. Vasanthapriyan, "A Conceptual framework to conduct Online Examinations during the COVID-19 Pandemic: A context of a Public University in Sri Lanka," in 2021 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), 2021, pp. 96-99.
  23. D. Dayananda, K. Chathumini, and S. Vasanthapriyan, "A Novel Framework for Online Exams during the Pandemic of COVID-19: Evaluation Methods, Students' Priorities and Academic Dishonesty in Online Exams," in 2021 IEEE 1st International Conference on Advanced Learning Technologies on Education & Research (ICALTER), 2021, pp. 1-4.

2020

 

  1. T. Yogarajah, V. Shanmuganathan, and B. Kuhaneswaran, "Evaluation and validation using Delphi method & field test for subfertility decision support system," in 2020 From Innovation to Impact (FITI), 2020, pp. 1-5.
  2. Weerasinghe and K. Jayasena, "Multimedia big data platform with a deep learning approach for flood emergency management," in 2020 5th International Conference on Information Technology Research (ICITR), 2020, pp. 1-6.
  3. S. Vasanthapriyan and B. Kuhaneswaran, "Modeling HiBrinto Ontology to Develop Knowledge Management Portal for Highway Bridge Construction," learning, vol. 5, p. 7, 2020.
  4. Y. Thenuka, S. Vasanthapriyan, and K. Banujan, "Ontology-Driven Decision Making for Subfertility of Female," in 2020 13th International Conference on KDU, 2020.
  5. M. A. Thaajwer and U. P. Ishanka, "Melanoma skin cancer detection using image processing and machine learning techniques," in 2020 2nd international conference on advancements in computing (ICAC), 2020, pp. 363-368.
  6. S. Sandagiri, B. T. Kumara, and B. Kuhaneswaran, "Detecting crimes related Twitter posts using SVM based two stages filtering," in 2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS), 2020, pp. 506-510.
  7. S. Sandagiri, B. Kumara, and B. Kuhaneswaran, "ANN Based Crime Detection and Prediction using Twitter Posts and Weather Data," in 2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI), 2020, pp. 1-5.
  8. S. Sandagiri, B. Kumara, and B. Kuhaneswaran, "Detecting crime related twitter posts using artificial neural networks based approach," in 2020 20th International Conference on Advances in ICT for Emerging Regions (ICTer), 2020, pp. 5-10.
  9. S. Sandagiri, B. Kumara, and B. Kuhaneswaran, "Deep neural network-based approach to identify the crime related twitter posts," in 2020 International Conference on Decision Aid Sciences and Application (DASA), 2020, pp. 1000-1004.
  10. S. Sandagiri, B. Kumara, and K. Banujan, "Clustering Crimes Related Twitter Posts using WordNet and Agglomerative Algorithm," in 2020 13th International Conference on KDU, 2020.
  11. W. Ruwantha and B. Kumara, "Lstm based approach for classifying twitter posts for movie success prediction," in 2020 International Conference on Decision Aid Sciences and Application (DASA), 2020, pp. 1160-1165.
  12. P. Premisha, B. Kumara, E. Kudavidanage, and K. Banujan, "An Ontology-Based Data Mining Approach for Predicting the Research Ideas using Past Research in the Wildlife Sector of Sri Lanka," in 2020 13th International Conference on KDU, 2020.
  13. Y. T. Premathilaka, K. Banujan, and B. T. Kumara, "Ontology-Based Approach to Determine the Coverage of Examination Papers," in 2020 International Conference on Decision Aid Sciences and Application (DASA), 2020, pp. 613-617.
  14. P. Premananthan, B. Kumara, E. P. Kudavidanage, and B. Kuhaneswaran, "A data mining and ontology-based approach for predicting the research ideas in the wildlife sector of Sri Lanka," in 2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS), 2020, pp. 606-610.
  15. E. Nandapala, K. Jayasena, and R. Rathnayaka, "Behavior segmentation based micro-segmentation approach for health insurance industry," in 2020 2nd International Conference on Advancements in Computing (ICAC), 2020, pp. 333-338.
  16. E. Nandapala and K. Jayasena, "The practical approach in Customers segmentation by using the K-Means Algorithm," in 2020 IEEE 15th international conference on industrial and information systems (ICIIS), 2020, pp. 344-349.
  17. J. Mariyathas, V. Shanmuganathan, and B. Kuhaneswaran, "Sinhala handwritten character recognition using convolutional neural network," in 2020 5th International Conference on Information Technology Research (ICITR), 2020, pp. 1-6.
  18. K. Jayasena, K. Bandaranayake, and B. Kumara, "TRETA-A Novel Heuristic Based Efficient Task Scheduling Algorithm in Cloud Environment," in 2020 IEEE REGION 10 CONFERENCE (TENCON), 2020, pp. 812-817.
  19. I. Illankoon and B. Kumara, "Analyzing the Influence of Various Factors for Vegetable Price using Data Mining," in 2020 13th International Conference on KDU, 2020.
  20. I. Illankoon and B. Kumara, "Data Mining Approach for Analyzing Factors Influencing Vegetable Prices," in 2020 5th International Conference on Information Technology Research (ICITR), 2020, pp. 1-6.
  21. I. Illankoon and B. Kumara, "Analyzing the Influence of Current Situation in the Country for Vegetable Prices using LDA Topic Modeling," in 2020 2nd International Conference on Advancements in Computing (ICAC), 2020, pp. 351-356.
  22. H. Herath and B. Kumara, "Domain-Based Similarity Calculation Method for Calculating Document Similarity," in 2020 13th International Conference on KDU, 2020.
  23. T. Gunawardena and K. Jayasena, "Real-time Uber data analysis of popular Uber locations in Kubernetes environment," in 2020 5th International Conference on Information Technology Research (ICITR), 2020, pp. 1-6.
  24. K. Gunarathne and K. Jayasena, "Monitoring mental health of Sri Lankan youngsters during COVID 19 with passive mobile sensing," in 2020 13th International Conference on KDU, 2020.
  25. S. Donesh and U. P. Ishanka, "Plant Leaf Recognition: Comparing Contour-Based and Region-Based Feature Extraction," in 2020 2nd International Conference on Advancements in Computing (ICAC), 2020, pp. 369-373.
  26. S. Diddeniya, J. Liyanage, W. Wanniarachchi, C. Premachandra, and H. Gunasinghe, "An Autonomously Guided Differential Drive Robot Base Using Asus® Xtion Pro Live," in 2020 International Conference on Image Processing and Robotics (ICIP), 2020, pp. 1-5.
  27. B. Batuwanthudawa and K. Jayasena, "Real-time location based augmented reality advertising platform," in 2020 2nd International Conference on Advancements in Computing (ICAC), 2020, pp. 174-179.
  28. K. Banujan and S. Vasanthapriyan, "Bridge ontology architecture for knowledge management in bridge maintenance," in 2020 Moratuwa Engineering Research Conference (MERCon), 2020, pp. 1-6.
  29. K. U. Bandaranayake, K. N. Jayasena, and B. Kumara, "TRETA-A Novel Heuristic Based Workflow Scheduling Algorithm in Cloud Environment," in 2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS), 2020, pp. 363-368.
  30. K. Bandaranayake, K. Jayasena, and B. Kumara, "An efficient task scheduling algorithm using total resource execution time aware algorithm in cloud computing," in 2020 IEEE International Conference on Smart Cloud (SmartCloud), 2020, pp. 29-34.

2019

 

  1. W. Weerakoon, S. Vasanthapriyan, and U. P. Ishanka, "A queuing model for outpatient department to reduce unnecessary waiting times," in 2019 14th Conference on industrial and information systems (ICIIS), 2019, pp. 203-208.
  2. S. Vasanthapriyan and D. Dissanayaka, "Forecast Municipal Solid Waste Generation in Sri Lanka by Consuming Linear, Nonlinear Model and Machine Learning Techniques," in Proceedings of the 6th International Conference on Multidisciplinary Approaches (iCMA), 2019.
  3. S. Vasanthapriyan, "An Ontological Approach for Knowledge Representation of Dental Extraction Forceps," in Artificial Intelligence: Second International Conference, SLAAI-ICAI 2018, Moratuwa, Sri Lanka, December 20, 2018, Revised Selected Papers 2, 2019, pp. 147-160.
  4. A. Umayangani and R. Dangalla, "Introduction of a Novel IoT Based and Automated Solution for Rainwater Harvesting in the Dry Zone," 2019.
  5. W. Sandeepani, R. Dangalla, S. Rupasinghe, and K. Delgolla, "Architecture for an Open Source IOT (Internet of Things) Based Solution for Water Quality Monitoring and Prediction of Natural Water Sources in Sri Lanka," 2019.
  6. J. Probodha and S. Vasanthapriyan, "Analysis of knowledge sharing barriers in Sri Lankan software companies," International Journal of Knowledge Management (IJKM), vol. 15, pp. 78-93, 2019.
  7. H. Priyabhashana and K. Jayasena, "Data analytics with deep neural networks in fog computing using tensorflow and google cloud platform," in 2019 14th Conference on Industrial and Information Systems (ICIIS), 2019, pp. 34-39.
  8. B. Priyabhashana and P. N. Jayasena, "DATA ANALYTICS IN FOG COMPUTING USING TENSORFLOW AND GOOGLE CLOUD PLATFORM," in Conference Proceedings of the Asia International Conference on Multidisciplinary, 2019, p. 37.
  9. C. Madawala, B. Kumara, and L. Indrathilaka, "Novel machine learning ensemble approach for landslide prediction," in 2019 International Research Conference on Smart Computing and Systems Engineering (SCSE), 2019, pp. 78-84.
  10. C. Joseph and S. Lekamge, "Machine Learning for Emotion Classification of Sri Lankan Folk Music," in 2019 14th Conference on Industrial and Information Systems (ICIIS), 2019, pp. 360-365.
  11. C. Joseph and S. Lekamge, "Machine Learning Approaches for Emotion Classification of Music: A Systematic Literature Review," in 2019 International Conference on Advancements in Computing (ICAC), 2019, pp. 334-339.
  12. K. Jayasena and B. Thisarasinghe, "Optimized task scheduling on fog computing environment using meta heuristic algorithms," in 2019 IEEE International Conference on Smart Cloud (SmartCloud), 2019, pp. 53-58.
  13. H. Hettikankanama, S. Vasanthapriyan, and R. Rathnayake, "IMPROVED MACHINE LEARNING APPROACH FOR SENTIMENT POLARITY ESTIMATION FOR OPINION MINING," 2019.
  14. H. Hettikankanama and S. Vasanthapriyan, "Integrating smart transportation system for a proposed smart city: a mapping study," in 2019 International Research Conference on Smart Computing and Systems Engineering (SCSE), 2019, pp. 196-203.
  15. P. Amarasena, B. Kumara, and S. Jointion, "Data Mining Approach for Identifying Suitable Sport for Beginners," in 2019 International Research Conference on Smart Computing and Systems Engineering (SCSE), 2019, pp. 57-62.
  16. P. Amarasena, B. Kumara, and S. Jointion, "SVM Based Classification Approach to Identify Suitable Beginners for Tennis Based on Anthropometric Measurements," 2019.
  17. H. Gunawardhana and R. Dangalla, "Flood prediction System for Kelani River." in 2019 12th International Research Conference on KDU.
  18. A. Umayangani and R. Dangalla, "Automated Rainwater Harvesting with Internet of Things to Enhance Water Efficiency, Especially for Domestic Use." in 2019 12th International Research Conference on KDU.
  19. Jayawardhane. S.S.U., Dangalla.R.L, “Designing and Implementing Drought Monitoring Model in Hambantota District using SPI and NDVI,” 12th International Research Conference (IRC), General Sir John Kotelawala Defence University, Sri Lanka.
  20. Lakshitha. W.G.S., Dangalla.R.L, “Designing and Implementation of a Novel method for Freelancer Bids Ranking”, 2019 12th International Research Conference (IRC), General Sir John Kotelawala Defence University, Sri Lanka.
  21. Dhananjaya. A.L., Kalinga Gunawardhana, and Dangalla.R.L. “Address resolution protocol attack consideration with web real time communication”, 2019 12th International Research Conference (IRC), General Sir John Kotelawala Defence University, Sri Lanka.
  22. Dhananjaya. A.L., Gunawardhana. K, and Dangalla.R.L, “Address Resolution Protocol (ARP): Spoofing attacks and Security Testing on web real-time communication”, 2019 4th International Research Symposium on Pure and Applied Sciences, University of Keleniya, Sri Lanka.
  23. U. H. R Kumari and K. P. N. Jayasena  “Multi-objective optimization for Water Distribution Management System for Rathnapura District” Proceedings of 12th International Research Conference 2019, KDU.
  24. Buddhika Priyabhashana and K. P. N. Jayasena “Effective usage of activation functions for data classification with TensorFlow in deep neural networks” Proceedings of 12th International Research Conference 2019, KDU.
  25. Thisarasinghe; BS; Jayasena; KPN, “Energy efficient resource scheduling in fog computing” Proceedings of 12th International Research Conference 2019, KDU

2018

 

  1. S. K. Weerathunga and S. Vasanthapriyan, "Knowledge Management Involvement in Improving Human Resource Management of the Organizations," 2018.
  2. W. Weerakoon and B. T. Kumara, "Data Handling And Maintaining Data Consistency In Scalable Replicated Micro-services," 2018.
  3. S. Vasanthapriyan, "A study of software testing practices in Sri Lankan Software Companies," in 2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C), 2018, pp. 339-344.
  4. A. Rasitha and S. Vasanthapriyan, "ANALYSIS OF EMPLOYEE INNOVATIVE BEHAVIOR IN SRI LANKAN SOFTWARE COMPANIES," 2018.
  5. S. Rajapaksha and B. Kumara, "Hairstyle Recommendation Based on Face Shape Using Image Processing," 2018.
  6. B. Perera, B. Kumara, and H. Hapuarachchi, "Predicting the Risk of Being a Diabetic Patient Using Statistical Analysis and Data Mining," 2018.
  7. U. P. Kudagamage, B. T. Kumara, and C. H. Baduraliya, "Data mining approach to analysis and prediction of movie success," in 1st International Conference on Business Innovation, 2018, p. 55.
  8. T. Jayasinghe, W. Dhanapala, B. Kumara, and R. Kariapper, "Standard Web Application for Flight Booking," in 1st INTERNATIONAL CONFERENCE ON BUSINESS INNOVATION, 2018, p. 158.
  9. P. Jayani and S. Vasanthapriyan, "INFLUENCE OF KNOWLEDGE SHARING ATTITUDE IN SRI LANKAN SOFTWARE COMPANIES," 2018.
  10. U. P. Ishanka and T. Yukawa, "User emotion and personality in context-aware travel destination recommendation," in 2018 5th International Conference on Advanced Informatics: Concept Theory and Applications (ICAICTA), 2018, pp. 13-18.
  11. U. Indumini and S. Vasanthapriyan, "Knowledge management in agile software development-a literature review," in 2018 National Information Technology Conference (NITC), 2018, pp. 1-7.
  12. N. Hettiarachchi and S. Vasanthapriyan, "Organizational Electronic Knowledge Repository Use and Project Success in Sri Lankan Software Development organizations," 2018.
  13. H. Hennayaka and S. Vasanthapriyan, "Colors in human interaction for different categorical websites," 2018.
  14. N. Dharmasiri and S. Vasanthapriyan, "Approach to heart diseases diagnosis and monitoring through machine learning and iOS mobile application," in 2018 18th International Conference on Advances in ICT for Emerging Regions (ICTer), 2018, pp. 407-412.
  15. N. De Silva and S. Vasanthapriyan, "Optical Sinhala Braille Documents Convertion Methodology for Sinhala Language," in 2018 National Information Technology Conference (NITC), 2018, pp. 1-6.
  16. N. De Silva and S. Vasanthapriyan, "Optical Braille Recognition Platform for Sinhala," in 2018 18th International Conference on Advances in ICT for Emerging Regions (ICTer), 2018, pp. 7-12.
  17. K. G. L. Chathumini, B.T.G.S. Kumara and H. A. C. S. Hapuarachchi, “Image Processing Based Automatic Pelicon Crossing System,” 11th Int. Research Conf. of Kothalawala Defence University (KDUIRC- 2018), Sri Lanka, pp. 93-99, 13th - 14th September 2018.
  18. K. Banujan and S. Vasanthapriyan, "Knowledge sharing system for dental extraction in order to assist dental doctors and assistants," in Proceedings of Computing of 11th International Research Conference 2019 of KDU(KDUIRC 2018).
  19. K. Banujan, B. T. Kumara, and I. Paik, "Twitter and online news analytics for enhancing post-natural disaster management activities," in 2018 9th International Conference on Awareness Science and Technology (iCAST), 2018, pp. 302-307.
  20. P. Alwis, B. Kumara, and H. Hapuarachchi, "Customer Churn Analysis and Prediction in Telecommunication for Decision Making," in  2018 International Conference On Business Innovation (ICOBI), Sri Lanka, 2018.
  21. Ariyarathna, R, & Vasanthapriyan, “Innovative Behavior of Employees in Sri Lankan Software Companies”. In 2018 7th International Conference on Management and Economics (ICME) pp. 407-422.
  22. Jayasinghe J.M.A.D.,Dangalla.R.L., “Hand motion recognition system based on bio signal analysis”, 2018 11th International Research Conference (IRC) General Sir John Kotelawala Defence University, Sri Lanka.
  23. Wickrama Arachchi.R.S., Dangalla.R.L. “A Method to Enhance Features of Biometrics Security Management and Fingerprint Identification Using Low Quality Images”, in 2018 11th International Research Conference (IRC), General Sir John Kotelawala Defence University, Sri Lanka.
  24. Edirisinghe E.A.I.L., Dangalla.R.L, “Fast and accuracy palm-print recognition system for lowquality patterns”, in 2018 11th International Research Conference (IRC), General Sir John Kotelawala Defence University, Sri Lanka.
  25. Erandith R.P.C., Dangalla.R.L., “Method to develop novel digital video surveillance features to enhance home and business security management”, in 2018 11th International Research Conference (IRC), General Sir John Kotelawala Defence University, Sri Lanka.
  26. Lakshitha. W.G.S., Dangalla.R., “Find new Supervised Algorithm for Feelancer Employees Ranking”, in 2018  Edhat International research conference on Information Communication Technology (ICT), IDM National Campus, Sri Lanka.
  27. J.N.N.Mahisha, H.M.K.T.Gunawardana and R.M.K.H.T.Rathnayake "Improving effort estimation practices in small-scale agile software products" International Research Symposium on Pure and Applied Sciences, 2018, Faculty of Science, University of Kelaniya, Sri Lanka

2017

 

  1. S. Vasanthapriyan, J. Xiang, J. Tian, and S. Xiong, "Knowledge synthesis in software industries: a survey in Sri Lanka," Knowledge management research & practice, vol. 15, pp. 413-430, 2017.
  2. S. Vasanthapriyan, J. Tian, D. Zhao, S. Xiong, and J. Xiang, "An ontology-based knowledge sharing portal for software testing," in 2017 IEEE international conference on software quality, reliability and security companion (QRS-C), 2017, pp. 472-479.
  3. S. Vasanthapriyan, J. Tian, D. Zhao, S. Xiong, and J. Xiang, "An Ontology-based Knowledge Management System for Software Testing," in SEKE, 2017, pp. 230-235.
  4. S. Vasanthapriyan, J. Tian, and J. Xiang, "An ontology-based knowledge framework for software testing," in Knowledge and Systems Sciences: 18th International Symposium, KSS 2017, Bangkok, Thailand, November 17–19, 2017, Proceedings 18, 2017, pp. 212-226.
  5. T. H. A. S. Siriweera, I. Paik, and B. T. G. S. Kumara, "Constraint-driven dynamic workflow for automation of big data analytics based on graphplan," in 2017 IEEE International Conference on Web Services (ICWS), 2017, pp. 357-364.
  6. T. A. S. Siriweera, I. Paik, and B. T. Kumara, "QoS and customizable transaction-aware selection for big data analytics on automatic service composition," in 2017 IEEE International Conference on Services Computing (SCC), 2017, pp. 116-123.
  7. R. A. Rupasingha, I. Paik, and B. T. Kumara, "Improving web service clustering through a novel ontology generation method by domain specificity," in 2017 IEEE international conference on web services (ICWS), 2017, pp. 744-751.
  8. B. T. Kumara, I. Paik, T. Siriweera, and K. R. Koswatte, "QoS aware service clustering to bootstrap the web service selection," in 2017 IEEE international conference on services computing (SCC), 2017, pp. 233-240.
  9. D. Dissanayake and K. Jayasena, "A cloud platform for big IoT data analytics by combining batch and stream processing technologies," in 2017 National Information Technology Conference (NITC), 2017, pp. 40-45.
  10. Shanmuganathan Vasanthapriyan. “Agile and Scrum in a small software development project - a case study”. In 2017 Proceedings of 7th International Symposium, South Eastern University of Sri Lanka. pp. 114-120.
  11. Ishanka UAP, Takashi Yukawa. “A Context-aware Place Recommendation System based on Emotion and User Behavior as Contextual Parameters”. the 18th International Symposium on Advanced Intelligent Systems (ISIS 2017): Springer International Publishing. October 11-14, 2017.
  12. T. H. A. S. Siriweera, Incheon Paik, Jia Zhang, and B. T. G. S. Kumara, “Big Data Analytic Service Discovery using Social Service Network with Domain Ontology and Workflow Awareness,” IEEE International Conference on Web Services, San Francisco, U.S.A, June-July, 2016.

2016

 

  1. M. Serasinghe and S. Vasanthapriyan, "Intelligent retail checkout management system," in 2016 2nd IEEE International Conference on Computer and Communications (ICCC), 2016, pp. 929-932.
  2. R. A. Rupasingha, I. Paik, B. T. Kumara, and T. A. S. Siriweera, "Domain-aware web service clustering based on ontology generation by text mining," in 2016 IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 2016, pp. 1-7.
  3. K. Rathnayake, S. Diddeniya, W. L. Wanniarachchi, W. Nanayakkara, and H. Gunasinghe, "Voice operated home automation system based on Kinect sensor," in 2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS), 2016, pp. 1-5.
  4. B. T. Kumara, I. Paik, T. Siriweera, and K. R. Koswatte, "Cluster-based web service recommendation," in 2016 IEEE international conference on services computing (SCC), 2016, pp. 348-355.
  5. H. Gunasinghe and T. Fernando, "A Computer Aided System to Identify the Face shape of a Person using Machine Learning and linage Processing Techniques," 2016.
  6. T. Akila, S. Siriweera, I. Paik, and B. T. Kumara, "QoS-aware traffic-efficient web service selection over BigData space," in 2016 IEEE International Conference on Computer and Information Technology (CIT), 2016, pp. 197-203.

2015

 

  1. S. Vasanthapriyan, J. Tian, and J. Xiang, "A survey on knowledge management in software engineering," in 2015 IEEE International Conference on Software Quality, Reliability and Security-Companion, 2015, pp. 237-244.
  2. S. Vasanthapriyan and S. Thuseethan, "Prediction of human flow in disaster situations: A multi-agent based modelling and simulation," in 2015 2nd International Symposium on Dependable Computing and Internet of Things (DCIT), 2015, pp. 117-121.
  3. S. Thuseethan and S. Vasanthapriyan, "Multi-agent based ocean-transport and traffic controlling system: A simulation," in 2015 5th National Symposium on Information Technology: Towards New Smart World (NSITNSW), 2015, pp. 1-5.
  4. S. Thuseethan and S. Vasanthapriyan, "Spider-web topology: A novel topology for parallel and distributed computing," in 2015 3rd International Conference on Information and Communication Technology (ICoICT), 2015, pp. 34-38.
  5. T. A. S. Siriweera, I. Paik, B. T. Kumara, and K. R. Koswatta, "Intelligent big data analysis architecture based on automatic service composition," in 2015 IEEE International Congress on Big Data, 2015, pp. 276-280.
  6. R. A. Rupasingha, I. Paik, and B. T. Kumara, "Calculating Web service similarity using ontology learning with machine learning," in 2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 2015, pp. 1-8.
  7. B. T. Kumara, I. Paik, J. Zhang, T. A. S. Siriweera, and K. R. Koswatte, "Ontology-based workflow generation for intelligent big data analytics," in 2015 ieee international conference on web services, 2015, pp. 495-502.
  8. K. R. Koswatte, I. Paik, B. T. Kumara, and T. Siriweera, "Meta-ontology for innovative product design with semantic TRIZ," in 2015 International Conference on Electrical and Information Technologies (ICEIT), 2015, pp. 379-384.
  9. U. P. Ishanka and A. Marasinghe, "Supporting user interaction of social network mobile application with multimodal interaction," in 2015 10th Asia-Pacific Symposium on Information and Telecommunication Technologies (APSITT), 2015, pp. 1-3.
  10. W. Chen, B. T. Kumara, I. Paik, and Z. Li, "Topology-aware heuristic data allocation algorithm for big data infrastructure," in 2015 IEEE First International Conference on Big Data Computing Service and Applications, 2015, pp. 353-360.
  11. T. Akila, S. Siriweera, I. Paik, and B. T. Kumara, "Onotology-based service discovery for intelligent Big Data analytics," in 2015 IEEE 7th International Conference on Awareness Science and Technology (iCAST), 2015, pp. 66-71.

2014

 

  1. B. T. Kumara, I. Paik, H. Ohashi, Y. Yaguchi, and W. Chen, "Context-aware filtering and visualization of web service clusters," in 2014 IEEE International Conference on Web Services, 2014, pp. 89-96.
  2. B. T. Kumara, I. Paik, H. Ohashi, W. Chen, and K. R. Koswatte, "Context aware post-filtering for web service clustering," in 2014 IEEE international conference on services computing, 2014, pp. 440-447.
  3. B. T. Kumara, I. Paik, K. R. Koswatte, and W. Chen, "Recommendation for web services with domain specific context awareness," in 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 2014, pp. 281-287.
  4. B. T. Kumara, I. Paik, K. R. Koswatte, and W. Chen, "Ontology learning with complex data type for Web service clustering," in 2014 ieee symposium on computational intelligence and data mining (cidm), 2014, pp. 129-136.
  5. K. R. Koswatte, I. Paik, and B. T. Kumara, "Meta-framework for semantic TRIZ," in 2014 IEEE International Symposium on Independent Computing (ISIC), 2014, pp. 1-7.
  6. R.P.T. Bhagya, S. Vasanthapriyan, &  P. Jayaweera, “Pattern Driven Collaboration Modeling in Legal Case Management”, Conference Proceedings - Part 4: Marketing Management and Technology, 5th International Conference on Business and Information (ICBI 2014), ISSN 2420-7497, Page 17-24, 2014.
  7. KPN Jayasena, & Huazhu Song, “Overview of Cloud Computing for Big Data”,  In 2014 International research Conference Proceedings:Engineering pp. 203-210.

2013

 

  1. H. Ohashi, I. Paik, and B. T. Kumara, "Calculating word similarity for context aware web service clustering," in 2013 International Joint Conference on Awareness Science and Technology & Ubi-Media Computing (iCAST 2013 & UMEDIA 2013), 2013, pp. 216-220.
  2. S. Lekamge and A. Marasinghe, "Developing a smart city model that ensures the optimum utilization of existing resources in cities of all sizes," in 2013 International Conference on Biometrics and Kansei Engineering, 2013, pp. 202-207.
  3. B. T. Kumara, Y. Yaguchi, I. Paik, and W. Chen, "Clustering and spherical visualization of web services," in 2013 IEEE International Conference on Services Computing, 2013, pp. 89-96.
  4. B. T. Kumara, I. Paik, H. Ohashi, and Y. Yaguchi, "Web service filtering and visualization with context aware similarity to bootstrap clustering," in 2013 International Joint Conference on Awareness Science and Technology & Ubi-Media Computing (iCAST 2013 & UMEDIA 2013), 2013, pp. 220-226.
  5. B. T. Kumara, I. Paik, and W. Chen, "Web-service clustering with a hybrid of ontology learning and information-retrieval-based term similarity," in 2013 IEEE 20th International Conference on Web Services, 2013, pp. 340-347.
  6. W. Chen, I. Paik, T. Tanaka, and B. T. Kumara, "Awareness of social influence for service recommendation," in 2013 IEEE International Conference on Services Computing, 2013, pp. 767-768.

2012

 

  1. B. Kumara, I. Paik, and G. Lee, "Ontology learning method for Web services clustering," in 2012 7th International Conference on Computing and Convergence Technology (ICCCT), 2012, pp. 705-710.