Publications
Selected publications (Google scholar)
1. D.A. Meedeniya,, D.A.A.C. Rathnaweera, “Face Recognition using a variation of principle component analysis technique”, in Proceedings of the University of Peradeniya Research Session, Vol 11, 2006. http://dlib.pdn.ac.lk/handle/123456789/3543
2. D.A. Meedeniya,, D.A.A.C. Rathnaweera, “Enhanced Face Recognition through Variation of Principal Component Analysis (PCA)”, in Proceedings of the 2nd International Conference on Industrial and Information (ICIIS), IEEE Xplore, pp. 347-352, 2007. DOI: https://doi.org/10.1109/ICIINFS.2007.4579200 pdf
3. D.A. Meedeniya, A.S. Perera, “A Comparative Study on Data Representation to Categorize Text Documents”, in Proceedings of the 20th International Conference on Software Engineering and Knowledge Engineering (SEKE’08), pp.371-374, USA, 2008. pdf
4. D.A. Meedeniya, A.S. Perera, “An Adaptive Technique to Categorize Indic Language Documents”, in Proceedings of the International Conference on Advanced Computing Technologies (ICACT '08), India, 2008, and S. V. Raju, Ed. BS Publications, 2009, ISBN: 7695-2938. pdf
5. D.A. Meedeniya, A.S. Perera, “Evaluation of Partition-Based Text Clustering Techniques to Categorize Indic Language Documents”, in Proceedings of the IEEE International Advance Computing Conference (IACC '09), IEEE Xplore, pp. 1497-1500, India, 2009. DOI: https://doi.org/10.1109/IADCC.2009.4809239 pdf
6. D.A. Meedeniya, G.I.U.S. Perera, “Open Source Software Utilization in Student Software Projects: A Study on Student Preferences”, The International Journal of Applied Engineering Research, 5(1):37–45, 2010. pdf
7. J. Bowles, D. Meedeniya, "Formal Transformation from Sequence Diagrams to Coloured Petri Nets", in Proceedings of the 17th Asia Pacific Software Engineering Conference (APSEC '10), IEEE Computer Society, pp 216 - 225, Sydney, 2010. DOI: https://doi.org/10.1109/APSEC.2010.33 pdf
8. I. Perera, D. Meedeniya, "Enabling SMEs to Use Cloud Computing Services - An Exploratory Study on Enterprises Strategy Alterations", Book Chapter, V. Tewari, (Ed) in Information Technology in Management, INREWI, 71-92, 2012, ISBN: 978-955-0775-00-2. pdf
9. J. K. F.Bowles, D. Meedeniya, "Strongly Consistent Transformation of Partial Scenarios", Proceedings of the 5th International workshop UML and Formal Methods (UML&FM’2012), ACM Software Engineering, Notes in (SEN), Paris, July 2012. pdf
10. J. Bowles, D. Meedeniya, “Strongly consistent transformation of partial scenarios”. Journal of ACM SIGSOFT Software Engineering Notes (SEN), vol 37, no. 4, pp 1-8, ACM, 2012. DOI= https://doi.org/10.1145/2237796.2237809 pdf
11. J. Bowles, D.Meedeniya, “Parametric Transformations for Flexible Analysis", Proceedings of the 19th Asia Pacific Software Engineering Conference (APSEC '12), pp 634-643, IEEE Computer Society, Hong Kong, 2012. DOI: https://doi.org/10.1109/APSEC.2012.61 pdf
12. I. Perera, D. Meedeniya, I. Benerjee, J. Choudhury, "Educating Users for Disaster Management: An Exploratory Study on Using Immersive Training for Disaster Management", IEEE International Conference on MOOC, Innovation and Technology in Education (MITE), pp. 245-250, 2013. DOI: https://doi.org/10.1109/MITE.2013.6756343 pdf
13. D.A. Meedeniya, I.Perera, "Model Based Software Design: Tool Support for Scripting in Immersive Environments", 2013 8th IEEE International Conference on Industrial and Information Systems (ICIIS'13), pp.248-253, 2013. DOI: https://doi.org/10.1109/ICIInfS.2013.6731990 pdf
14. D. Meedeniya, J. Bowles, I. Perera, "SD2CPN: A Model Transformation Tool for Software Design Models", 2014 International Computer Science and Engineering Conference: ICSEC 2014 International Track, pp. 461-466, IEEE Explorer, 2014. DOI: https://doi.org/10.1109/ICSEC.2014.6978222 pdf
15. D.B. Wijesinghe, K. Kamalabalan, T. Uruththirakodeeswaran, G.Thiyagalingam, I.Perera, D. Meedeniya, "Establishing Traceability Links among Software Artefacts", 2014 International Conference on Advances in ICT for Emerging Regions (ICTer), pp. 55-62, IEEE explorer, 2014. DOI: https://doi.org/10.1109/ICTER.2014.7083879 pdf
16. I. Perera, D. Meedeniya, C. Allison, A. Miller, "User Support for Managed Immersive Education: An Evaluation of in-World Training for OpenSim", Journal of Universal Computer Science, 20(12), pp.1690-1707, 2014. DOI: https://doi.org/10.3217/jucs-020-12-1690 pdf
17. K. Kamalabalan, T. Uruththirakodeeswaran, G.Thiyagalingam, D.B. Wijesinghe, I.Perera, D. Meedeniya, D. Balasubramaniam, “Tool Support for Traceability of Software Artefacts”, MERCON 2015, IEEE explorer, pp. 318- 323, 2015. DOI: https://doi.org/10.1109/MERCon.2015.7112366 pdf
18. D. Meedeniya, I. Perera, J. Bowles, "Transformation and composition of software design models for Model Driven Development, "IEEE 10th International Conference on Industrial and Information Systems (ICIIS), Peradeniya, pp. 31-36, 2015. DOI: https://doi.org/10.1109/ICIINFS.2015.7398981 pdf
19. I. Perera, D. Meedeniya, M. Bandara, "A traceability management framework for artefacts in self-adaptive systems," IEEE 10th International Conference on Industrial and Information Systems (ICIIS), Peradeniya, pp. 37-42, 2015. DOI: https://doi.org/10.1109/ICIINFS.2015.7398982 pdf
20. K. Jayakodi, M. Bandara, I. Perera, D. Meedeniya, "WordNet and Cosine Similarity based Classifier of Exam Questions using Bloom’s Taxonomy", International Journal of Emerging Technologies in Learning (iJET), v. 11, n. 04, pp. 142-149, 2016. ISSN 1863-0383. DOI: http://dx.doi.org/10.3991/ijet.v11i04.5654 pdf
21. C. Athukorala, I. Perera, D. Meedeniya, "The Impact of Transformational and Transactional Leadership Styles on Knowledge Creation in Sri Lankan Software Industry", International Multidisciplinary Engineering Research Conference (MERCon2016), IEEE explorer, pp. 309 - 314, 2016. DOI: https://doi.org/10.1109/MERCon.2016.7480159 pdf
22. A. Arunthavanathan, S. Shanmugathasan, S. Ratnavel, V. Thiyagarajah, I. Perera, D. Meedeniya, D. Balasubramaniam, "Support for Traceability Management of Software Artefacts using Natural Language Processing", International Multidisciplinary Engineering Research Conference (MERCon2016), IEEE explorer, pp. 18-23, 2016. DOI: https://doi.org/10.1109/MERCon.2016.7480109 pdf
23. K. Jayakodi, M. Bandara, D. Meedeniya, "An Automatic Classifier for Exam Questions with WordNet and Cosine Similarity", International Multidisciplinary Engineering Research Conference (MERCon2016), IEEE explorer, pp. 12-17, 2016. DOI: http://dx.doi.org/10.1109/MERCon.2016.7480108 (Best Paper Award) pdf
24. A. Garusinghe, I.Perera, D. Meedeniya, "Managing Service Level Agreements in Service Oriented Product Lines", 2016 International Conference on Advances in ICT for Emerging Regions (ICTer), IEEE explorer, pp.274 - 280, 2016. DOI: https://doi.org/10.1109/ICTER.2016.7829931 pdf
25. D. Meedeniya, I. Perera, J. Bowles, “Tool Support for Transforming Unified Modelling Language Sequence Diagram to Coloured Petri-nets”, Maejo International Journal of Science and Technology, v. 10, n. 03, pp. 272-283, 2016. http://www.mijst.mju.ac.th/vol10/272-283.pdf pdf
26. W. A. D. Kanchana, G. D. L. Madushanka, H. P. Maduranga, M. D. M. Udayanga, D. A. Meedeniya, G. I. U. S. Perera, "Context Aware Recommendation for Data Visualization", 2nd International Conference on Communication and Information Processing (ICCIP 2016), pp. 22-26, ACM, Singapore, 2016. DOI: https://doi.org/10.1145/3018009.3018027 pdf
27. J. A. A. M Jayanetti, M. H. Wickramapala, D. A. Meedeniya, M. D. N. Dilini, J. H. Madushanka, "Enhanced Land Cover and Land Use Information Generation from Satellite Imagery and Foursquare Data", In Proceedings of the 6th International Conference on Software and Computer Applications (ICSCA 2017), pp. 149-153, ACM, New York, NY, USA, 2017. DOI: https://doi.org/10.1145/3056662.3056681 pdf
28. L. B. Meegahapola, P. K. D. R. M. Alwis, L. B. E. H. Nimalarathna, V. G. Mallawaarachchi, D. A. Meedeniya and S. Jayarathna, "Change detection optimization in frequently changing web pages," 2017 Moratuwa Engineering Research Conference (MERCon), Moratuwa, Sri Lanka, 2017, pp. 111-116. DOI: https://doi.org/10.1109/MERCon.2017.7980466 pdf
29. W. A. D. Kanchana, G. D. L. Madushanka, H. P. Maduranga, M. D. M. Udayanga, D. A. Meedeniya and I. Perera, "Semi-automated recommendation platform for data visualization: Roopana," 2017 Moratuwa Engineering Research Conference (MERCon), Moratuwa, Sri Lanka, 2017, pp. 117-122. DOI: https://doi.org/10.1109/MERCon.2017.7980467 pdf
30. S. Palihawadana, C. H. Wijeweera, M. G. T. N. Sanjitha, V. K. Liyanage, I. Perera and D. A. Meedeniya, "Tool support for traceability management of software artefacts with DevOps practices," 2017 Moratuwa Engineering Research Conference (MERCon), Moratuwa, Sri Lanka, 2017, pp. 129-134. DOI: https://doi.org/10.1109/MERCon.2017.7980469 pdf
31. L. Meegahapola, R. Alwis, E. Nimalarathna, V. Mallawaarachchi, D. Meedeniya, S. Jayarathna, “Detection of Change Frequency in Web Pages to Optimize Server-based Scheduling”, International Conference on Advances in ICT for Emerging Regions (ICTer), IEEE explorer, pp.165-172, 2017. DOI: https://doi.org/10.1109/ICTER.2017.8257791 pdf
32. L. Meegahapola, R. Alwis, E. Nimalarathna, V. Mallawaarachchi, D. Meedeniya, S. Jayarathna, “Optimizing Change Detection in Distributed Digital Collections: An Architectural Perspective of Change Detection”, 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2017), IEEE Computer Society, Springer, pp. 277-282, Japan, 2017. Doi: https://doi.org/10.1109/SNPD.2017.8022733 pdf (Video)
33. L. Meegahapola, R. Alwis, E. Heshan, V. Mallawaarachchi, D. Meedeniya and S. Jayarathna, "Adaptive technique for web page change detection using multi-threaded crawlers," 2017 Seventh International Conference on Innovative Computing Technology (INTECH), IEEE Xplore, Luton, 2017, pp. 120-125. DOI: https://doi.org/10.1109/INTECH.2017.8102430 pdf
34. I. D. Rubasinghe, D. A. Meedeniya and I. Perera, "Towards Traceability Management in Continuous Integration with SAT-Analyzer", 3rd International Conference on Communication and Information Processing (ICCIP 2017), ACM, Tokyo, Japan, 2017, pp . DOI: https://doi.org/10.1145/3162957.3162985 pdf
35. A. Welivita, I. Perera, D. Meedeniya, "An Interactive Workflow Generator to Support Bioinformatics Analysis through GPU Acceleration", The IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE Xplore, Kansas City, MO, USA, 2017, pp. 457-462. DOI: https://doi.org/10.1109/BIBM.2017.8217691 pdf
36. M. Y. Nilan, D. D. Sellahewa, A. S. R. Fernando, L. C. J. Gamage, and D. A Meedeniya “Analysis of Conflicts between Medication, Adverse Drug Reactions and Diseases”, IEEE 12th International Conference on Industrial and Information Systems (ICIIS), IEEE Xplore, Sri Lanka, 2017, pp.1-6. DOI: https://doi.org/10.1109/ICIINFS.2017.8300339 pdf
37. A. Garusinghe, I. Perera and D. Meedeniya, “Service oriented product lines - managed service level agreements for better quality of service”, International Journal on Advances in ICT for Emerging Regions (ICTer), vol. 10, no. 2, pp.1–11, 2017. DOI: http://doi.org/10.4038/icter.v10i2.7184 pdf
38. L. Meegahapola, V. Mallawaarachchi, R. Alwis, E. Nimalarathne, D. Meedeniya and S. Jayarathna , “Random Forest Classifier based Scheduler Optimization for Search Engine Web Crawlers”, 7th International Conference on Software and Computer Applications, ACM, Malaysia, 2018, pp..DOI: https://doi.org/10.1145/3185089.3185103 pdf
39. I. D. Rubasinghe, D. A. Meedeniya, G. I. U. S. Perera, “Software Artefact Traceability Analyser: A Case-Study on POS System”, 6th International Conference on Communications and Broadband Networking (ICCBN 2018), ACM, Singapofre, 2018, pp. DOI: https://doi.org/10.1145/3193092.3193094. pdf
40. S. Hewawalpita, S. Herath, I.Perera and D. Meedeniya, "Effective Learning Content Offering in MOOCs with Virtual Reality – An Exploratory Study on Learner Experience", Journal of Universal Computer Science, vol 24, no. 2 , pp. 129-148, 2018, ISSN 0948-6968 , https://doi.org/10.3217/jucs-024-02-0129 pdf
41. I. D. Rubasinghe, D. A. Meedeniya, G. I. U. S. Perera, “Automated Inter-artefact Traceability Establishment for DevOps Practice”, 17th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2018), IEEE explorer, 2018, Singapore, pp. 211-216. DOI: https://doi.org/10.1109/ICIS.2018.8466414 pdf
42. A. Welivita, I. Perera, D. Meedeniya, A. Wickramarachchi and V. Mallawaarachchi, "Managing Complex Workflows in Bioinformatics - An Interactive Toolkit with GPU Acceleration," in IEEE Transactions on NanoBioscience, 2018. DOI: https://doi.org/10.1109/TNB.2018.2837122 pdf
43. Y. Nilan, D. Sellahewa, S. Fernando, L. Gamage and D. Meedeniya, " A Clinical Decision Support System with Identification of Drug Conflicts ", International Multidisciplinary Engineering Research Conference (MERCon2018), IEEE explorer, Sri Lanka, 2018. pp. 126-131. DOI: https://doi.org/10.1109/MERCon.2018.8422005 pdf
44. V. Mallawaarachchi, A. Wickaramarachchi, A. Weliwita, I. Perera, D. Meedeniya, Experiential Learning in Bioinformatics – Learner Support for Complex Workflow Modelling and Analysis, International Journal of Emerging Technologies in Learning (iJET), Vol 13, No. 10 (2018), DOI: 10.3991/ijet.v13i12.8608 pdf
45. V. G. Mallawaarachchi, W. A. A. S. Wickramarachchi, K. A. Welivita, I. Perera, D. A. Meedeniya, "Efficient Bioinformatics Computations through GPU Accelerated Web Services", 2nd International Conference on Algorithms, Computing and Systems (ICACS 2018), ACM, 2018, China, pp.94-98. DOI: 10.1145/3242840.3242848 pdf
46. I. D. Rubasinghe, D. A. Meedeniya, G. I. U. S. Perera, “Traceability Management with Impact Analysis in DevOps based Software Development”, 7th international conference on advances in computing, communications and informatics (ICACCI 2018), IEEE explorer, 2018, India, pp. 1956-1962. DOI: 10.1109/ICACCI.2018.8554399 pdf
47. S. Prasadi, V. Mallawaarachchi, A. Wickramarachchi, I. Perera, D. Meedeniya, “Efficient Scheduling for Scalable Bioinformatics Analysis Platform with Microservices”, 18th International Conference on Advances in ICT for Emerging Regions (ICTer), IEEE explorer, 2018, Colombo, pp. 400-406. DOI: 10.1109/ICTER.2018.8615599 pdf
48. G. Gamage, I. Sudasingha, I. Perera, D. Meedeniya, “Reinstating Dlib Correlation Human Trackers Under Occlusions in Human Detection based Tracking”, 18th International Conference on Advances in ICT for Emerging Regions (ICTer), IEEE explorer, 2018, Colombo, pp. 92-98. DOI: 10.1109/ICTER.2018.8615551 pdf
49. D. Rathnayake, A. Wickramarachchi, V. Mallawaarachchi, D. Meedeniya, I. Perera, “A Realtime Monitoring Platform for Workflow Subroutines”, 18th International Conference on Advances in ICT for Emerging Regions (ICTer), IEEE explorer, 2018, Colombo, pp. 41-47. DO: 10.1109/ICTER.2018.8615557. pdf
50. A. Wickramarachchi, V. Mallawaarachchi, D. Meedeniya, I. Perera, A. Waliwita “Enhanced Student Learning in Proteomics - An Interactive Tool Support for Teaching Workflows”, 7th IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE), IEEE explorer, 2018, NSW, Australia, pp. 228-235. DOI: https://doi.org/10.1109/TALE.2018.8615134 pdf
51. D. A. Meedeniya, S. A. P. A. Rukshan, A. Welivita, “An Interactive Gameplay to Crowdsource Multiple Sequence Alignment of Genome Sequences: Genenigma”, 9th International Conference on Bioscience, Biochemistry and Bioinformatics (ICBBB 2019), ACM, NY, Singapore, 2019, pp. . DOI: https://doi.org/10.1145/3314367.331437 pdf
52. S. Rajapaksa, W. Rasanjana, I. Perera, D. Meedeniya, “GPU Accelerated Maximum Likelihood Analysis for Phylogenetic Inference”, 8th International Conference on Software and Computer Applications (ICSCA 2019), ACM, New York, USA, 2019, pp. , Malaysia. DOI: https://do5i.org/10.1145/3316615.3316630 pdf
53.W. Rasanjana, S. Rajapaksa, I. Perera and D. Meedeniya, A SVM Model for Candidate Y-chromosome Gene Discovery in Prostate Cancer, In: Oliver Eulenstein, Hisham Al-Mubaid and Qin Ding (editors). Proceedings of 11th International Conference on Bioinformatics and Computational Biology (BICOB 2019), vol 60, pages 129--138, March 18, 2019, Hawaii, USA. https://doi.org/10.29007/3nzw. pdf
54. A. S. Rajapaksa, A. Wickramarachchi, V. Mallawaarachchi, W. Rasanjana, I. Perera and D. Meedeniya, "A Scalable Bioinformatics Analysis Platform based on Microservices Architecture," 2019 International Research Conference on Smart Computing and Systems Engineering (SCSE), pp. 70-77. Sri Lanka, 2019. DOI: https://doi.org/10.23919/SCSE.2019.8842809. pdf
55. D. A. Meedeniya I. D. Rubasinghe I. Perera, "Software Artefacts Consistency Management Towards Continuous Integration: A Roadmap", International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 10, No. 4, pp. 100-110, April 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100411 pdf
56. D. A. Meedeniya I. D. Rubasinghe I. Perera, "Traceability Establishment and Visualization of Software Artefacts in DevOps Practice: A Survey", International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 10, No. 7, pp. 66 - 76, July 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100711 pdf
57. N. Rathnayake, D. Meedeniya, I. Perera, A. Welivita, “A Framework for Adaptive User Interface Generation based on User Behavioural Patterns”, Moratuwa Engineering Research Conference (MERCon), IEEE explorer, Sri Lanka, 2019. pp. 698-703. DOI = http://dx.doi.org/10.1109/MERCon.2019.8818825 pdf
58. D. Lenadora, A. Wickramarachchi, D. Meedniya, V. Mallawaarachchi, I Perera, , “An Adapter Architecture for Heterogeneous Data Processing in Bioinformatics Pipelines“ , Moratuwa Engineering Research Conference (MERCon), IEEE explorer, Sri Lanka, 2019. pp. 692-697. DOI = http://dx.doi.org/10.1109/MERCon.2019.8818781 pdf
59. S. De Silva, S. Dayarathna, G. Ariyarathne, D. Meedeniya, S. Jayarathna, A. M. P. Michalek, G. Jayawardena, “A Rule-Based System for ADHD Identification using Eye Movement Data”, Moratuwa Engineering Research Conference (MERCon), IEEE explorer, Sri Lanka, 2019. pp. 538-543. DOI = http://dx.doi.org/10.1109/MERCon.2019.8818865 pdf
60. D. Haputhanthri, G. Brihadiswaran, S. Gunathilaka, D. Meedeniya, S. Jayarathna, M. Jaime, Y. Jayawardena, “An EEG based Channel Optimized Classification Approach for Autism Spectrum Disorder”, Moratuwa Engineering Research Conference (MERCon), IEEE explorer, Sri Lanka, 2019. pp. 123-128. DOI = http://dx.doi.org/10.1109/MERCon.2019.8818814 pdf
61. O. G. Samarasinghe, J. A. C. G. Jathunarachchi, H. M. D. Jeewanthi, D. A. Meedeniya, S. Rajapaksa, “Rule-Based Recommendation System for Phylogenetic Inference”, Moratuwa Engineering Research Conference (MERCon), IEEE explorer, Sri Lanka, 2019. pp. 704-709. DOI = http://dx.doi.org/10.1109/MERCon.2019.8818878 pdf
62. S. De Silva, S. Dayarathna, G. Ariyarathne, D. Meedeniya, S. Jayarathna, “A Survey of Attention Deficit Hyperactivity Disorder Identification Using Psychophysiological Data”, International Journal of Online and Biomedical Engineering (iJOE), Vol. 15, No. 13, pp. 61-76 , 2019. https://doi.org/10.3991/ijoe.v15i13.10744 pdf
63. G. Brihadiswaran, D. Haputhanthri, S. Gunathilaka, D. Meedeniya, S. Jayarathna, “EEG-based processing and classification methodologies for Autism Spectrum Disorder: A Review”, Journal of Computer Science (JCS), vol.15, no.8, pp. 1161.1183, 2019. DOI: http://dx.doi.org/10.3844/jcssp.2019.1161.1183 pdf
64. I. D. Rubasinghe, D. A. Meedeniya, “Ultrasound Nerve Segmentation Using Deep Probabilistic Programming”, Journal of ICT Research and Applications, vol. 13 , no. 3, pp. 241-256 , 2019, ITB Journal Publisher, ISSN: 2337-5787, DOI: https://doi.org/10.5614/itbj.ict.res.appl.2019.13.3.5. pdf
65 V. Mallawaarachchi, L. Meegahapola, R. Madhushanka, E. Heshan, D. Meedeniya, and S. Jayarathne. 2019. Change Detection and Notification of Web Pages: A Survey. ACM Computing Surveys. Vol. 53, no. 1, Article 1515:1-35 (February 2020), ISSN:0360-0300, EISSN:1557-7341. https://doi.org/10.1145/3369876 pdf
66. D.A. Meedeniya, I. D. Rubasinghe, G. I. U. S. Perera, Artefact Consistency Management in DevOps Practice: A Survey, V. Pendyala (Eds)., Tools and Techniques for Software Development in Large Organizations, Chapter 4, (pp. 98-129). Hershey, PA: IGI Global. ISBN13: 9781799818632, ISBN10: 1799818632, EISBN13: 9781799818656. DOI: http://dx.doi.org/10.4018/978-1-7998-1863-2.ch004 pdf
67. I. D. Rubasinghe, D.A. Meedeniya, G. I. U. S. Perera, Tool Support for Software Artefact Traceability in DevOps Practice: SAT-Analyser, V. Pendyala (Eds)., Tools and Techniques for Software Development in Large Organizations, Chapter 5, (pp. 130-167). Hershey, PA: IGI Global. ISBN13: 9781799818632, ISBN10: 1799818632, EISBN13: 9781799818656, DOI: http://dx.doi.org/10.4018/978-1-7998-1863-2.ch005 pdf
68. Rubasinghe, I. D., & Meedeniya, D. A., “Automated Neuroscience Decision Support Framework”, B. Agarwal (Eds), in Deep Learning Techniques for Biomedical and Health Informatics, Chapter 13, pp. 305-326, Elsevier, Academic Press, 2020. ISBN: 978-0-12-819061-6. DOI: https://doi.org/10.1016/B978-0-12-819061-6.00013-6 pdf
69. G. Ariyarathne, S. De Silva, S. Dayarathna, D. Meedeniya, S. Jayarathna, ADHD Identification using Convolutional Neural Network with Seed-based Approach for fMRI Data, 9th International Conference on Software and Computer Applications, 2020, 31-35. https://doi.org/10.1145/3384544.3384552 pdf (Presentation)
70. D. A. Meedeniya, I. D Rubasinghe, A Review of Supportive Computational Approaches for Neurological Disorder Identification, in: T. Wadhera, D. Kakkar, (Eds.), Interdisciplinary Approaches to Altering Neurodevelopmental Disorders, Chapter 16, pp. 271-302, IGI Gloabal, 2020. DOI: https://doi.org/10.4018/978-1-7998-3069-6.ch016 pdf
71. D.S. Lenadora and G.S.W. Gamage and H.D.I. Haputhanthri and D. Meedeniya and I. Perera, "Exploratory Analysis of a Social Media Network in Sri Lanka during the COVID-19 Virus Outbreak", 1-13, 2020, arXiv:2006.07855, http://arxiv.org/abs/2006.07855
72. D. Haputhanthri, G. Brihadiswaran, S. Gunathilaka, D. Meedeniya, S. Jayarathna, M. Jaime, C. Harshaw, "Integration of Facial Thermography in EEG-based Classification of ASD", International Journal of Automation and Computing, vol.17, no. 6, pp. 837-854, December 2020. DOI: https://doi.org/10.1007/s11633-020-1231-6 pdf
73. G. Gamage, I. Perera, D. Meedeniya, A.Welivita, “A Crowdsourced Gameplay for Whole-Genome Assembly via Short Reads”. A Crowdsourced Gameplay for Whole-Genome Assembly via Short Reads, International Journal of Online and Biomedical Engineering (iJOE), vol. 16, No. 08, pp. 68-84, 2020. DOI: https://doi.org/10.3991/ijoe.v16i08.14821 pdf
74. D. A. Meedeniya, J. A. A. M Jayanetti, M. D. N. Dilini, M. H. Wickramapala, J. H. Madushanka, Land‐Use Classification with Integrated Data , in Machine Vision Inspection Systems: Image Processing, Concepts, Methodologies and Applications, M. Malarvel, S. R. Nayak, S. N. Panda, P. K Pattnaik, N. Muangnak (Eds. ), Ch. 1, pp. 1-38, John Wiley & Sons Inc, New York, United States, 2020. https://onlinelibrary.wiley.com/doi/book/10.1002/9781119682042 pdf
75. H. Padmasiri, R. Madurawe, C. Abeysinghe, D. Meedeniya, "Automated Vehicle Parking Occupancy Detection in Real-Time", Moratuwa Engineering Research Conference (MERCon), IEEE explorer, pp. 644 - 649, Moratuwa, Sri Lanka, 2020. DOI: https://doi.org/10.1109/MERCon50084.2020.9185199 pdf (Presentation)
76. N. Wijethilake, M. Islam, D. Meedeniya, C. Chitraranjan, I. Perera and H. Ren, Radiogenomics of Glioblastoma: Identification of Radiomics associated with Molecular Subtypes, In: Kia S.M. et al. (eds) Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2nd MICCAI workshop on Radiomics and Radiogenomics in Neuro-oncology using AI (MLCN), RNO-AI 2020. LNCS, vol 12449, Springer, Cham, pp 229-239, 2020. https://doi.org/10.1007/978-3-030-66843-3_22 (pdf). (Presentation)
77. N. Wijethilake, D. Meedeniya, C. Chitraranjan, I. Perera, “Survival prediction and risk estimation of Glioma patients using mRNA expressions”, 20th IEEE Conference on Bioinformatics and Bioengineering (BIBE), Cincinnati, OH, USA, 2020, pp. 35-42, DOI: https://doi.org/10.1109/BIBE50027.2020.00014. pdf (Presentation)
78. S. De Silva, S. Dayarathna, G. Ariyarathne, D. Meedeniya, S. Jayarathna, fMRI Feature Extraction Model for ADHD Classification Using Convolutional Neural Network. International Journal of E-Health and Medical Communications (IJEHMC), 12:1 (6), pp. 81-105, IGI Global, 2021. https://doi.org/10.4018/IJEHMC.2021010106 pdf
79 C. Abeysinghe, I. Perera, D. A. Meedeniya, “Capsule Networks for Character Recognition in Low Resource Languages”, in Machine Vision Inspection Systems: Machine Learning-Based Approaches: Volume 2, M. Malarvel, S. R. Nayak, P. K Pattnaik, S. N. Panda, (Eds.), Ch.2 ,pp. 23-46, John Wiley & Sons Inc, New York, United States, 2021. DOI: https://doi.org/10.1002/9781119786122.ch2 Google read: pdf
80. T. A. I. Thotawaththa, Y. T. Gamage, D. Gamlath, W. Chee and D. Meedeniya, "Automated Categorization of Privacy Policies Based on User Perspective," In Proceedings of the 10th International Conference on Information and Automation for Sustainability (ICIAfS), Negambo, Sri Lanka, 2021, pp. 54-59, DOI: https://doi.org/10.1109/ICIAfS52090.2021.9606158 pdf (Presentation)
81. S. De Silva, S. Dayarathna, G. Ariyarathne, D. Meedeniya, S. Jayarathna, A. M. P. Michalek, "Computational Decision Support System for ADHD Identification", International Journal of Automation and Computing (IJAC), vol.18, no.2, pp.233–255, 2021. DOI: https://doi.org/10.1007/s11633-020-1252-1 (pdf )
82. J. Shashirangana, H. Padmasiri, D. Meedeniya, C. Perera, Automated License Plate Recognition: A Survey on Methods and Techniques, IEEE Access, vol. 9, pp. 11203-11225, 2021, DOI: https://doi.org/10.1109/ACCESS.2020.3047929 pdf
83. N. Wijethilake, D. Meedeniya, C. Chitraranjan, I. Perera, M. Islam and H. Ren, "Glioma Survival Analysis Empowered with Data Engineering - A Survey", IEEE Access, vol. 9, pp. 43168-43191, 2021. DOI: https://doi.org/10.1109/ACCESS.2021.3065965 pdf
84. J. Shashirangana, H. Padmasiri, D. Meedeniya, C. Perera, S. R. Nayak, J. Nayak, S. Vimal, S. Kadry, "License Plate Recognition Using Neural Architecture Search for Edge Devices", in International Journal of Intelligent Systems, Special issue Complex Industrial Intelligent Systems, vol. , no. , pp., John Wiley and Sons Ltd, 2021. https://doi.org/10.1002/int.22471 pdf
85. S. Jayasiriwardene, D. Meedeniya, "Architectural Framework for an Interactive Learning Toolkit", International Research Conference on Smart Computing and Systems Engineering (SCSE), Kelaniya, Sri Lanka, 2021, pp. 14-21. DOI: https://doi.org/10.1109/SCSE53661.2021.9568330 (pdf) (Presentation)
86. L. Herath, D. Meedeniya, M.A.J.C Marasingha, V. Weerasinghe, "Autism Spectrum Disorder Diagnosis Support Model Using InceptionV3", International Research Conference on Smart Computing and Systems Engineering (SCSE), Kelaniya, Sri Lanka, 2021, pp. 1-7 . DOI: https://doi.org/10.1109/SCSE53661.2021.9568314 pdf (Best Paper) (Presentation)
87. D. A. Meedeniya, T. M. H. Thennakoon, Impact Factors and Best Practices to Improve Effort Estimation Strategies and Practices in DevOps, In Proceedings of the 11th International Conference on Information Communication Management (ICICM 2021), Tokyo, Japan, ACM, pp. 11–17, 2021. (ISBN: 978-1-4503-9019-4) DOI: https://doi.org/10.1145/3484399.3484401 pdf. (Presentation)
88. D. Hewavitharana, D. Meedeniya, Impact of Work-Life Balance on Career Advancement of Female Employees, 1st Edition, LAP Lambert Academic Publishing, Republic of Moldova, 2021. ISBN-13: 978-620-3-92720-7, ISBN-10: 6203927201, EAN: 9786203927207. [BOOK}
89. T. Jayasiri, D. Meedeniya, Software Test Governance Best Practices: Impact Factors and Recommendations for IT industry, 1st Edition, LAP Lambert Academic Publishing, Republic of Moldova, 2021. ISBN: 978-620-4-18445-6 [BOOK}
90. P. Demotte, K. Wijegunarathna, D. Meedeniya, I. Perera, “Enhanced Sentiment Extraction Architecture for Social Media Content Analysis Using Capsule Networks”, Multimedia tools and applications: Special issue in Recent Advances on Social Media Analytics and Multimedia Systems: Issues and Challenges, vol. 82, pp. 8665-8690, Springer, 2021. DOI: https://doi.org/10.1007/s11042-021-11471-1 https://rdcu.be/cxVcc
91. S. Jayasiriwardene, D. Meedeniya, "Interactive and Adaptive Learning Content Authoring Framework for an M-Learning Toolkit", 1st Conference on Online Teaching for Mobile Education (OT4ME!), Alcalá de Henares, Spain, 2021, pp. 153-160. DOI: https://doi.org/10.1109/OT4ME53559.2021.9638890 (Best Paper) (pdf) (Presentation)
92. S. Kolonne, H. Kumarasinghe, C. Fernando, D. Meedeniya, MobileNetV2 Based Chest X-Rays Classification, International Conference on Decision Aid Sciences and Application (DASA), Bahrain, 2021, pp. 57-61, DOI: 10.1109/DASA53625.2021.9682248 (pdf) (Presentation)
93. I. Rubasinghe, D. Meedeniya, I. Perera, "SAT-Analyser Traceability Management Tool Support for DevOps", Journal of Information Processing Systems (JIPS), Korea Information Processing Society, vol. 17, no. 5, pp. 972-988, 2021. DOI: https://doi.org/10.3745/JIPS.04.0225
94. D. A. Meedeniya, I. Mahakalanda, D.S. Lenadora, I. Perera, S.G.S. Hewawalpita, C. Abeysinghe, and S.R. Nayak. Prediction of paddy cultivation using deep learning on land cover variation for sustainable agriculture (Chapter 13). In: R.C. Poonia, V. Singh, and S.R. Nayak, editors. Deep Learning for Sustainable Agriculture. Elsevier; 2022, p. 329-359. DOI: https://doi.org/10.1016/B978-0-323-85214-2.00009-4 pdf
95. H. Padmasiri, J. Shashirangana, D. Meedeniya, O. Rana, C. Perera, “Automated License Plate Recognition for Resource-Constrained Environments”, Sensors, MDPI Multidisciplinary Digital Publishing Institute, vol. 22, no. 4:1434, 2022. DOI: https://doi.org/10.3390/s22041434 (pdf)
96. N. Hewage, D. Meedeniya, Machine Learning Operations: A Survey on MLOps Tool Support, 2022, pp. 1-12, Arxiv.2202.10169 [online: http://arxiv.org/abs/2202.10169] DOI: https://doi.org/10.48550/arXiv.2202.10169
97. L. Herath, D. Meedeniya, J. Marasingha and V. Weerasinghe, "Optimize Transfer Learning for Autism Spectrum Disorder Classification with Neuroimaging: A Comparative Study," 2nd International Conference on Advanced Research in Computing (ICARC), Belihuloya, Sri Lanka, 2022, pp. 171-176, DOI: http://dx.doi.org/10.1109/ICARC54489.2022.9753949. (Best paper award: ‘Data Science and Applications Track’) (pdf) (Presentation)
98. C. Fernando, S. Kolonne, H. Kumarasinghe and D. Meedeniya, "Chest Radiographs Classification Using Multi-model Deep Learning: A Comparative Study," 2nd International Conference on Advanced Research in Computing (ICARC), Belihuloya, Sri Lanka, 2022, pp. 165-170, DOI: http://dx.doi.org/10.1109/ICARC54489.2022.9753811. (pdf) (Presentation)
99. T. Shyamalee and D. Meedeniya, "CNN Based Fundus Images Classification For Glaucoma Identification," 2nd International Conference on Advanced Research in Computing (ICARC), Belihuloya, Sri Lanka, 2022, pp. 200-205, DOI: http://dx.doi.org/10.1109/ICARC54489.2022.9754171. (pdf) (Presentation)
100. S. Dasanayaka, S. Silva, V. Shantha, D. Meedeniya and T. Ambegoda, "Interpretable Machine Learning for Brain Tumor Analysis Using MRI," 2nd International Conference on Advanced Research in Computing (ICARC), Belihuloya, Sri Lanka, 2022, pp. 212-217, DOI: http://dx.doi.org/10.1109/ICARC54489.2022.9754131. (pdf) (Presentation)
101. P. Pathirana, S. Senarath, D. Meedeniya and S. Jayarathna, "Single-User 2D Gaze Estimation in Retail Environment Using Deep Learning," 2nd International Conference on Advanced Research in Computing (ICARC), Belihuloya, Sri Lanka, 2022, pp. 206-211, DOI: http://dx.doi.org/10.1109/ICARC54489.2022.9754167. (pdf)
102. S. Jayasiriwardene and D. Meedeniya, "A Knowledge-based Adaptive Algorithm to Recommend Interactive Learning Assessments," 2nd International Conference on Advanced Research in Computing (ICARC), Belihuloya, Sri Lanka, 2022, pp. 379-384, DOI: http://dx.doi.org/10.1109/ICARC54489.2022.9753913. (pdf) (Presentation)
103. T. Shyamalee and D. Meedeniya, "Attention U-Net for Glaucoma Identification Using Fundus Image Segmentation," 2022 International Conference on Decision Aid Sciences and Applications (DASA), Chiangrai, Thailand, 2022, pp. 6-10, doi: https://doi.org/10.1109/DASA54658.2022.9765303. (pdf) (Presentation)
104. S. Senarath, P. Pathirana, D. Meedeniya and S. Jayarathna, "Retail Gaze: A Dataset for Gaze Estimation in Retail Environments," 2022 International Conference on Decision Aid Sciences and Applications (DASA), Chiangrai, Thailand, 2022, pp. 1040-1044, doi: https://doi.org/10.1109/DASA54658.2022.9765224. (pdf) (Presentation)
105. S. de Silva, S. Dayarathna, & D. Meedeniya, Alzheimer’s Disease Diagnosis using Functional and Structural Neuroimaging Modalities, Wadhera, T., & Kakkar, D. (Eds), in Enabling Technology for Neurodevelopmental Disorders: from Diagnosis to Rehabilitation, Ch. 11, pp. 162—183, Routledge, Taylor & Francis CRS Press, 2022. DOI: http://dx.doi.org/10.4324/9781003165569-11 eBook ISBN 9781003165569; pdf
106 I. Mahakalanda, P. Demotte, I. Perera, D. Meedeniya, W. Wijesuriya, L. Rodrigo, "Deep learning-based prediction for stand age and land utilization of rubber plantation", M. A. Khan, R. Khan, M. A. Ansari (Eds.),in: Application of Machine Learning in Smart Agriculture, Ch. 7, pp.131-156, Elsevier Academic Press, 2022. ISBN: 9780323905503, DOI: https://doi.org/10.1016/B978-0-323-90550-3.00008-4 ; pdf
107. P. Pathirana, S. Senarath, D. Meedeniya, S. Jayarathna, "Eye Gaze Estimation: A Survey on Deep Learning-Based Approaches", Expert Systems with Applications, Elsevier, 2022, vol. 199 , no. 116894, pp. 1-16. DOI: https://doi.org/10.1016/j.eswa.2022.116894 , URL: https://www.sciencedirect.com/science/article/pii/S0957417422003347, ISSN: 0957-4174 pdf
108. K. A. S. H. Kumarasinghe, S. L. Kolonne, K. C. M. Fernando, D. Meedeniya, "U-Net Based Chest X-ray Segmentation with Ensemble Classification for Covid-19 and Pneumonia", International Journal of Online and Biomedical Engineering (iJOE), Vol. 18, No. 7, pp. 161-174, 2022. DOI: https://doi.org/10.3991/ijoe.v18i07.30807
109. D. Meedeniya, H. Kumarasinghe, S. Kolonne, C. Fernando, I. De la Torre Díez, G. Marques, “Chest X-ray Analysis Empowered with Deep Learning: A Systematic Review”, Applied Soft Computing, vol. 126, pp. 109319, 2022. DOI: https://doi.org/10.1016/j.asoc.2022.109319. (pdf)
110. S. Senarath, P. Pathirana, D. Meedeniya and S. Jayarathna, “Customer Gaze Estimation in Retail Using Deep Learning”, IEEE Access, vol. 10, pp. 64904-64919, 2022. DOI: https://doi.org/10.1109/ACCESS.2022.3183357 (Presentation)
111. T. Shyamalee and D. Meedeniya, “Glaucoma Detection with Retinal Fundus Images Using Segmentation and Classification”, Machine Intelligence Research, vol. 19, no. 6, pp. 563-580, 2022. DOI: http://doi.org/10.1007/s11633-022-1354-z (pdf)
112. S. Dasanayaka, V. Shantha, S. Anupa Silva, D. Meedeniya and T. Ambegoda, "Interpretable Machine Learning for Brain Tumour Analysis using MRI and Whole Slide Images," Software Impacts, vol. 13, pp. 100340, 2022, DOI:https://doi.org/10.1016/j.simpa.2022.100340 (pdf)
113. S. R. Dash, S. Roy, J. R. Mohanty, D. Meedeniya, M. R. Mishra,"Machine Learning Approach to Analyze Breast Cancer", 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA), Mizoram, India, In: V. Bhateja, X. S. Yang, J. Chun-Wei Lin, R. Das, (eds), Intelligent Data Engineering and Analytics., Smart Innovation, Systems and Technologies, vol 327, Springer, pp. 387–394, 2023. DOI: https://doi.org/10.1007/978-981-19-7524-0_34 (pdf)
114. S. Jayasiriwardene, D. Meedeniya, An Adaptive and Interactive Learning Toolkit (iLearn). Software Impacts,vol. 15, pp. 100471, 2023. DOI: https://doi.org/10.1016/j.simpa.2023.100471 (pdf)
115. W. Nimalsiri, M. Hennayake, K. Rathnayake, T. D. Ambegoda and D. Meedeniya, "CXLSeg Dataset: Chest X-ray with Lung Segmentation," 2023 International Conference On Cyber Management And Engineering (CyMaEn), Bangkok, Thailand, 2023, pp. 327-331, doi: https://doi.org/10.1109/CyMaEn57228.2023.10050951 (pdf) (Presentation)
116. W. Indeewara, M. Hennayake, K. Rathnayake, T. Ambegoda, and D. Meedeniya, Chest X-ray Dataset with Lung Segmentation (version 1.0.0), PhysioNet, 2023, doi: https://doi.org/10.13026/9cy4-f535
117. M. Bandara, R. Jayasundara, I. Ariyarathne, D. Meedeniya, C. Perera, "Forest Sound Classification Dataset: FSC22", Sensors, vol. 23, no. 4:2032, pp. 1-22, 2023. https://doi.org/10.3390/s23042032
118. N. Alhirabi, S. Beaumont, J. T. Llanos, D. Meedeniya, O. Rana, C. Perera, "PARROT: Interactive Privacy-Aware Internet of Things Application Design Tool", Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 7, no. 1, pp 1–37, 2023. doi: https://doi.org/10.1145/3580880
119. W. Nimalsiri, M. Hennayake, K. Rathnayake, T. D. Ambegoda and D. Meedeniya, "Automated Radiology Report Generation Using Transformers," Proceedings of the 3rd International Conference on Advanced Research in Computing (ICARC), Belihuloya, Sri Lanka, 2023, pp. 90-95, doi: https://doi.org/10.1109/ICARC57651.2023.10145699. (Pdf) (Best Paper Award) - Computer Vision and Image Processing Track (Presentation)
120. D. Senarath, S. Tharinda, M. Vishvajith, S. Rasnayaka, S. Wickramanayake and D. Meedeniya, "Re-evaluating Keystroke Dynamics for Continuous Authentication," Proceedings of the 3rd International Conference on Advanced Research in Computing (ICARC), Belihuloya, Sri Lanka, 2023, pp. 202-207, doi: https://doi.org/10.1109/ICARC57651.2023.10145743. (Pdf) (Best Paper Award) - 'Human-Computer Interaction and Computer Vision Track’ (Presentation)
121. L. Gamage, U. Isuranga, S. De Silva and D. Meedeniya, "Melanoma Skin Cancer Classification with Explainability," Proceedings of the 3rd International Conference on Advanced Research in Computing (ICARC), Belihuloya, Sri Lanka, 2023, pp. 30-35, doi: https://doi.org/10.1109/ICARC57651.2023.10145622. (Pdf) (Presentation)
122. D. Meedeniya, Deep Learning: A Beginners' Guide. CRC Press, 2023. ISBN 9781032473246, https://books.google.lk/books?id=PiirzwEACAAJ. (Pdf)
123. D. Meedeniya, I. Ariyarathne, M. Bandara, R. Jayasundara, C. Perera, "A Survey on Deep Learning-based Forest Environment Sound Classification at the Edge", ACM Computing Surveys, Vol. 56, No. 3, Article No. 66, pp 1–36, 2023. Doi: https://doi.org/10.1145/3618104 (Pdf)
124. D. Pathirage, D. De Silva, S. Wickramanayake, D. Meedeniya, S. Rasnayaka, "TEZARNet: TEmporal Zero-Shot Activity Recognition Network", In: Luo, B., Cheng, L., Wu, ZG., Li, H., Li, C. (eds) Neural Information Processing, Communications in Computer and Information Science, vol 1969, 30th International Conference on Neural Information Processing (ICONIP), Changsha, China, pp.444--455, Springer, 2023. DOI: https://doi.org/10.1007/978-981-99-8184-7_34 (pdf)
125. D. Senarath, S. Tharinda, M. Vishvajith, S. Rasnayaka, S. Wickramanayake and D. Meedeniya, "BehaveFormer: A Framework with Spatio-Temporal Dual Attention Transformers for IMU-enhanced Keystroke Dynamics," IEEE International Joint Conference on Biometrics (IJCB), Ljubljana, Slovenia, 2023, pp. 1-9, DOI: https://doi.org/10.1109/IJCB57857.2023.10448997. (pdf)
126. T. Shyamalee, D. Meedeniya, G. Lim and M. Karunarathne, "Automated Tool Support for Glaucoma Identification With Explainability Using Fundus Images," in IEEE Access, vol. 12, pp. 17290-17307, 2024, doi: https://doi.org/10.1109/ACCESS.2024.3359698.
127. T. Wanasinghe, S. Bandara, S. Madusanka, D. Meedeniya, M. Bandara and I. d. l. T. Díez, "Lung Sound Classification with Multi-Feature Integration Utilizing Lightweight CNN Model," IEEE Access, vol. 12, pp. 21262 - 21276, 2024. doi: https://doi.org/10.1109/ACCESS.2024.3361943.
128. T. Paranayapa, P. Ranasinghe, D. Ranmal, D. Meedeniya, C. Perera. A Comparative Study of Preprocessing and Model Compression Techniques in Deep Learning for Forest Sound Classification. Sensors, vol. 24, no. 4:1149, 2024. Doi: https://doi.org/10.3390/s24041149
129. L. Gamage, U. Isuranga, D. Meedeniya, S. De Silva, and P. Yogarajah, "Melanoma Skin Cancer Identification with Explainability Utilizing Mask Guided Technique" Electronics, vol. 13, no. 4: 680, 2024. Doi: https://doi.org/10.3390/electronics13040680
130. S. Wickramanayake, S. Rasnayaka, M. Gamage, D. Meedeniya, I. Perera, Chapter One - Explainable artificial intelligence for enhanced living environments: A study on user perspective, ed. G. Marques, Advances in Computers, Elsevier, vol. 133, 2024, pp. 1-32, Doi: https://doi.org/10.1016/bs.adcom.2023.10.002 . ISSN 0065-2458
131. N. Gnanavel, P. Inparaj, N. Sritharan, D. Meedeniya and P. Yogarajah, "Interpretable Cervical Cell Classification: A Comparative Analysis," 2024 4th International Conference on Advanced Research in Computing (ICARC), Belihuloya, Sri Lanka, 2024, pp. 7-12, doi: https://doi.org/10.1109/ICARC61713.2024.10499737. (pdf)
132. L. Herath, D. Meedeniya, J. Marasinghe, V. Weerasinghe, T. Tan, "Autism spectrum disorder identification using multi-model deep ensemble classifier with transfer learning", Expert Systems, Wiley, 2024. Doi: https://doi.org/10.1111/exsy.13623 (pdf)
133. P. Ranasinghe, T. Paranayapa, D. Ranmal and D. Meedeniya, "Hardware-aware Neural Architecture Search for Sound Classification in Constrained Environments," 2024 International Research Conference on Smart Computing and Systems Engineering (SCSE), Colombo, Sri Lanka, 2024, pp. 1-6, doi: https://doi.org/10.1109/SCSE61872.2024.10550556. (pdf)
134. T. Wanasinghe, S. Bandara, S. Madusanka, D. Meedeniya and M. Bandara, "CNN-based Optimization for Lung Sound Classification with Mobile Accessibility," 2024 International Research Conference on Smart Computing and Systems Engineering (SCSE), Colombo, Sri Lanka, 2024, pp. 1-6, doi: https://doi.org/10.1109/SCSE61872.2024.10550572. (pdf)
135. N. Sritharan, N. Gnanavel, P. Inparaj, D. Meedeniya and P. Yogarajah, "EnsembleCAM: Unified Visualization for Explainable Cervical Cancer Identification," 2024 International Research Conference on Smart Computing and Systems Engineering (SCSE), Colombo, Sri Lanka, 2024, pp. 1-6, doi: https://doi.org/10.1109/SCSE61872.2024.10550859. (pdf)
136. D. Ranmal, P. Ranasinghe, T. Paranayapa, D. Meedeniya, C. Perera, "ESC-NAS: Environment Sound Classification Using Hardware-Aware Neural Architecture Search for the Edge", Sensors vol. 24, no. 12, p. 3749, 2024. DOI: https://doi.org/10.3390/s24123749 (pdf)
137. T. Wanasinghe, S. Bandara, Supun Madusanka, Dulani Meedeniya, Meelan Bandara, Isabel De La Torre Díez, Lung Sound Classification for Respiratory Disease Identification Using Deep Learning: A Survey, International Journal of Online and Biomedical Engineering (iJOE), vol. 20. no. 10, pp. 1-15, 2024. DOI: https://doi.org/10.3991/ijoe.v20i10.49585 (pdf)
138. Kim-Ngan Nguyen, Sanka Rasnayaka, Sandareka Wickramanayake, Dulani Meedeniya, Sanjay Saha, Terence Sim, "Spatio-Temporal Dual-Attention Transformer for Time-Series Behavioral Biometrics", IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM) , 2024. DOI: https://doi.org/10.1109/TBIOM.2024.3394875. (pdf)