Skip to main content

Publications - Chapters And Books of Scholarly Work

2023

 

  1. A. K. Wijeratne, N. Ravikumar, P. M. Bandara, and B. Kuhaneswaran, "Prognostication of Crime Using Bagging Regression Model: A Case Study of London," in Handbook of Research on Technological Advances of Library and Information Science in Industry 5.0, ed: IGI Global, 2023, pp. 462-478.
  2. M.. Ifham, S Prasanth, K. Banujan, B. T. G. S. Kumara, “Are students using the time effectively during the COVID-19 pandemic?” Recent Advances in Material, Manufacturing, and Machine Learning, 2023, pp. 1328-1335. 
  3. S. Adeeba, K. Banujan, B. T. G. S. Kumara, “Detecting home violence related tweets using machine learning techniques during the Covid-19,” Recent Advances in Material, Manufacturing, and Machine Learning, 2023, pp. 1481-1489
  4. N. Ravikumar, B. Kuhaneswaran, A. Saleem, A. K. Wijeratne, B. Kumara, and G. Herath, "Classification of Product Backlog Items in Agile Software Development Using Machine Learning," in Handbook of Research on Technological Advances of Library and Information Science in Industry 5.0, ed: IGI Global, 2023, pp. 306-329.

2022

 

  1. T. Yogarajah, K. Banujan, and S. Vasanthapriyan, "An Ontology-Based Indigenous Knowledge Management Portal for Subfertility of Females," in Handbook of Research on Protecting and Managing Global Indigenous Knowledge Systems, ed: IGI Global, 2022, pp. 112-132.
  2. S. Vasanthapriyan, "Knowledge Management Initiatives in Agile Software Development: A Literature Review," Research Anthology on Agile Software, Software Development, and Testing, pp. 2065-2081, 2022.
  3. S. Mishoba, K. Banujan, S. Prasanth, and B. Kumara, "A Machine Learning Approach to Classify the Telecommunication Customers Based on Their Profitability," in Social Customer Relationship Management (Social-CRM) in the Era of Web 4.0, ed: IGI Global, 2022, pp. 1-25.
  4. R. Liyanage, B. Kumara, B. Kuhaneswaran, and S. Prasanth, "Deep Learning Approach for Detecting Customer Churn in Telecommunication Industry," in Social Customer Relationship Management (Social-CRM) in the Era of Web 4.0, ed: IGI Global, 2022, pp. 196-215.
  5. R. J. Herath and P. Ishanka, "An approach to Sri Lankan sign language recognition using deep learning with MediaPipe," in International Conference on Digital Technologies and Applications, 2022, pp. 449-459.

 

2021

  1. P. Premananthan, B. Kuhaneswaran, B. T. Kumara, and E. P. Kudavidanage, "Predicting the Future Research Gaps Using Hybrid Approach: Machine Learning and Ontology-A Case Study on Biodiversity," in Handbook of Research on Knowledge and Organization Systems in Library and Information Science, ed: IGI Global, 2021, pp. 157-175.
  2. W. Kithulwatta, W. U. Wickramaarachchi, K. Jayasena, B. Kumara, and R. Rathnayaka, "Adoption of docker containers as an infrastructure for deploying software applications: A review," Advances on Smart and Soft Computing: Proceedings of ICACIn 2021, pp. 247-259, 2021.

 

2020

  1. J. Charles and S. Lekamge, "An Ensemble Learning Approach for Automatic Emotion Classification of Sri Lankan Folk Music," in Proceedings of International Conference on Sustainable Expert Systems: ICSES 2020, 2021, pp. 289-302.
  2. I. Weerasinghe and K. Jayasena, "Image-based deep learning approach for flood impact level identification," 2020.
  3. S. Vasanthapriyan and K. Banujan, "Knowledge Transfer Between Senior and Novice Software Testers: A Qualitative Analysis in Sri Lankan Software Companies," in Software Engineering for Agile Application Development, ed: IGI Global, 2020, pp. 266-281.
  4. S. Vasanthapriyan and K. M. U. Arachchi, "Effectiveness of Scrum and Kanban on Agile-Based Software Maintenance Projects," in Software Engineering for Agile Application Development, ed: IGI Global, 2020, pp. 282-300.
  5. S. Vasanthapriyan, "Investigating Software Testing Practices in Software Development Organizations: Sri Lankan Experience," in Software Engineering for Agile Application Development, ed: IGI Global, 2020, pp. 251-265.
  6. J. Buddhika and K. Jayasena, "Fog computing and IoT based prediction system for healthcare using deep learning methods," 2020.
  7. Weerasinghe, T., & Jaysena, P. Flood Impact Level Detection from Multimedia Images using Transfer Learning with CNN Architectures. International Conference on Advances in Computing and Technology (ICACT–2020) Proceedings, ISSN 2756-9160, November 2020.
  8. Madhunamali, R., & Jayasena, P. The Rise of Blockchain Technology in Sri Lankan Food Supply Chain. International Conference on Advances in Computing and Technology (ICACT–2020) Proceedings ISSN 2756-9160, November 2020.
  9. Edirimanna, C., & Jayasena, P. Performance Comparison of IoT Based Metering System with Different Blockchain Platforms. International Conference on Advances in Computing and Technology (ICACT–2020) Proceedings ISSN 2756-9160, November 2020.
  10. Nandapala, Yashodha, and K. P. N. Jayasena. "Micro-segmentation Method for Claim handling Process in Health Insurance Claims Data." International Conference on Advances in Computing and Technology (ICACT–2020) Proceedings ISSN 2756-9160, November 2020.
  11. Koralegedara, K., and K. P. N. Jayasena. "Multi-Objective Nature-Inspired Algorithms for Sensor Node Localization in Wireless Sensor Networks." International Conference on Advances in Computing and Technology (ICACT–2020) Proceedings ISSN 2756-9160, November 2020.

 

2019

  1. S. Vasanthapriyan, "Knowledge sharing initiatives in software companies: A mapping study," in Human Factors in Global Software Engineering, ed: IGI Global, 2019, pp. 84-108.
  2. B. T. Kumara, I. Paik, and K. R. Koswatte, "Multi-Level Web Service Clustering to Bootstrap the Web Service Discovery and Selection," in Innovative Solutions and Applications of Web Services Technology, ed: IGI Global, 2019, pp. 44-68.
  3. Priyabhashana, H. M. B., and K. P. N. Jayasena. "Deep Neural Networks Adaptation In Fog Computing For Effective Data Analytics." 7th International Conference of Sabaragamuwa University of Sri Lanka (ICSUSL).  2019.
  4. Thisarasinghe, B. S., and K. P. N. Jayasena. "Optimized Task Scheduling On Fog Computing Environment Using Meta Heuristic Algorithms." 7th International Conference of Sabaragamuwa University of Sri Lanka (ICSUSL), 2019.

 

2018

  1. B. T. Kumara, I. Paik, and K. R. Koswatte, "Hybrid Term-Similarity-Based Clustering Approach and Its Applications," in Handbook of Research on Investigations in Artificial Life Research and Development, ed: IGI Global, 2018, pp. 397-423.

 

2016

  1. K. Jayasena, "Parallel computing with cloud technology platform," 2016.

 

2014

  1. I. Paik, W. Chen, B. T. Kumara, T. Tanaka, Z. Li, and Y. Yaguchi, "Linked data-based service publication for service clustering," in Advances in Computer Science and its Applications: CSA 2013, 2014, pp. 1429-1435.
  2. Shanmuganathan Vasanthapriyan, R.B.T. Bhagya and Prasad M. Jayaweera, “Collaboration Modelling Framework for Legal Workflow Management: Collaboration modelling framework for Courts Hearing Workflow Specification for Sri Lankan Context”, LAP LAMBERT Academic Publishing, 2014, ISBN-10: 3659608475.
  3. Jayasena, K. P. N., and Lin Lib. "Resource Management Approaches Based on Nature Inspired Algorithms in Cloud Computing." 8th Annual Research Session of the Sabaragamuwa University of Sri Lanka, 2018. 
  4. Shanmuganathan Vasanthapriyan and M.I. Isham Mohamed, Personalized Outdoor Audio Tour Guide with Augmented Reality: A research on why and how to digitalize the Sri Lankan tourism industry to comply with latest technical trends, LAP LAMBERT Academic Publishing, August 20, 2014, ISBN-10: 9783659590290

 

2011

 

  1. W. Samaraweera, S. Vasanthapriyan, and K. S. Oza, "Designing a multi-level support based association mining algorithm," International Journal of Scientific and Research Publications, p. 242, 2011.