Smart City Management
· 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. 19, no. 116894, pp. 1-16. DOI: https://doi.org/10.1016/j.eswa.2022.116894 ,
· 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
· 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
· 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
· S. Senarath, P. Pathirana, D. Meedeniya, April 3, 2022, "Retail Gaze: Gaze Estimation in Retail Environment", IEEE Dataport, doi: https://dx.doi.org/10.21227/a00p-0z90.
· W. Bangamuarachchi, A. Chamantha, L. Meegahapola, S. Ruiz-Correa, I. Perera and D. Gatica-Perez, "Sensing Eating Events in Context: A Smartphone-Only Approach," in IEEE Access, vol. 10, pp. 61249-61264, 2022, doi: https://doi.org/10.1109/ACCESS.2022.3179702
· H. Lowe, M. Lamahewage and K. Gunasekera, "Towards a Low-cost WiFi based Real-time Human Activity Recognition System," IEEE International Conference on Omni-layer Intelligent Systems (COINS), Barcelona, Spain, 2022, pp. 1-6, doi: https://doi.org/10.1109/COINS54846.2022.9854935
· T. Kalinga, B. Jayasekara, I. Perera, Intelligent Fall Detection and Notification System for IoT based Smart Home Environments, Bolgoda Plains, Vol.01, Issue 02, December 2021. Doi: https://doi.org/10.31705/BPRM.v2.2021.3
· D. Madhuranga, R. Madushan, C. Siriwardane, and K. Gunasekera, Real-time multimodal ADL recognition using convolution neural networks. Vis Comput 37, 1263–1276, 2021. Doi: https://doi.org/10.1007/s00371-020-01864-y
· C. Siriwardhana, D. Madhuranga, R. Madushan and K. Gunasekera, "Classification of Activities of Daily Living Based on Depth Sequences and Audio," 14th Conference on Industrial and Information Systems (ICIIS), Kandy, Sri Lanka, 2019, pp. 278-283, doi: https://doi.org/10.1109/ICIIS47346.2019.9063306 .
· Y. T. Gamage, T. A. I. Thotawaththa and A. Wijayasiri, "Identification of Road Surface Anomalies Using Crowdsourced Smartphone Sensor Data," 22nd International Conference on Advances in ICT for Emerging Regions (ICTer), Colombo, Sri Lanka, 2022, pp. 118-123, doi: https://doi.org/10.1109/ICTer58063.2022.10024097
· Y. T. Gamage, T. A. I. Thotawaththa and A. Wijayasiri, A. Measuring Road Roughness through Crowdsourcing while Minimizing the Conditional Effects. Int. J. ITS Res. 20, 581–601, 2022. https://doi.org/10.1007/s13177-022-00312-6
· D. Haputhanthri and A. Wijayasiri, "Short-Term Traffic Forecasting using LSTM-based Deep Learning Models," 2021 Moratuwa Engineering Research Conference (MERCon), Moratuwa, Sri Lanka, 2021, pp. 602-607, doi: https://doi.org/10.1109/MERCon52712.2021.9525670.
· P. Nirmal, I. Disanayaka, D. Haputhanthri and A. Wijayasiri, "Transportation Mode Detection Using Crowdsourced Smartphone Data," 2021 28th Conference of Open Innovations Association (FRUCT), Moscow, Russia, 2021, pp. 341-349, doi: https://doi.org/10.23919/FRUCT50888.2021.9347625.
· B. Dissanayake, O. Hemachandra, N. Lakshitha, D. Haputhanthri and A. Wijayasiri, A comparison of ARIMAX, VAR and LSTM on multivariate short-term traffic volume forecasting. In Conference of Open Innovations Association, FRUCT, 2021, no. 28, pp. 564-570. FRUCT Oy. doi: https://doi.org/10.5281/zenodo.4514955
· J. Shashirangana, H. Padmasiri, D. Meedeniya and C. Perera, "Automated License Plate Recognition: A Survey on Methods and Techniques," in IEEE Access, vol. 9, pp. 11203-11225, 2021, DOI: https://doi.org/10.1109/ACCESS.2020.3047929
· 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
· 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 Volume 1, M. Malarvel, S. R. Nayak, S. N. Panda, P. K Pattnaik, N. Muangnak (Eds. ), Ch. 1,pp. 1-36, John Wiley & Sons Inc, New York, United States, 2020. https://doi.org/10.1002/9781119682042.ch1
· 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: https://doi.org/10.1109/ICTER.2018.8615551
· J. A. A. M Jayanetti, D. A. Meedeniya, M. D. N. Dilini, M. H. Wickramapala, J. H. Madushanka, "Enhanced land cover and land use information generation from satellite imagery and foursquare data", 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
· M. Vidanapathirana, I. Sudasingha, P. Kanchana, J. Vidanapathirana and I. Perera, "Real-time pedestrian mapping from camera view to world space," IEEE International Conference on Industrial and Information Systems (ICIIS), Peradeniya, Sri Lanka, 2017, pp. 1-6, doi: https://doi.org/10.1109/ICIINFS.2017.8300352 .
· L. Meegahapola and I. Perera, "Enhanced in-store shopping experience through smart phone based mixed reality application," 7th International Conference on Advances in ICT for Emerging Regions (ICTer), Colombo, Sri Lanka, 2017, pp. 1-8, doi: https://doi.org/10.1109/ICTER.2017.8257810 .
· E. M. P. Gunatunge, H. Y. M. Hewagama, S. G. S. Hewawalpita, I. Perera and Y. B. N. Udara, "AugLAC — Generic framework for augmented location aware commerce," 7th International Conference on Information and Automation for Sustainability, Colombo, Sri Lanka, 2014, pp. 1-5, doi: https://doi.org/10.1109/ICIAFS.2014.7069594 .
· C. D. Chitraranjan, A. S. Perera and A. M. Denton, "Tracking vehicle trajectories by local dynamic time warping of mobile phone signal strengths and its potential in travel-time estimation," 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), St. Louis, MO, USA, 2015, pp. 445-450, doi: https://doi.org/10.1109/PERCOMW.2015.7134079
· C. D. Chitraranjan, A. M. Denton and A. S. Perera, "A Complete Observation Model for Tracking Vehicles from Mobile Phone Signal Strengths and Its Potential in Travel-Time Estimation," 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall), Montreal, QC, Canada, 2016, pp. 1-7, doi: https://doi.org/10.1109/VTCFall.2016.7880846
Smart Agriculture:
· 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 Agriculture, Ch. 7, pp.131-156, Elsevier Academic Press, 2022, DOI: https://doi.org/10.1016/B978-0-323-90550-3.00008-4
· 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 Academic Press; 2022, p. 325-355. https://doi.org/10.1016/B978-0-323-85214-2.00009-4
· I. Senevirathne, T. Ambegoda, R. Wijesena and I. Perera, "IoT-based Soil Nutrient Analyser using Gaussian Process Regression," 2022 2nd International Conference on Advanced Research in Computing (ICARC), Belihuloya, Sri Lanka, 2022, pp. 7-12, doi: https://doi.org/10.1109/ICARC54489.2022.9754105
Disaster management:
· 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, Springer, 2021. DOI: https://doi.org/10.1007/s11042-021-11471-1
· 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
· I. Perera, C. Allison, O. Ajinomoh, A. Miller, Managing 3D Multiuser Learning Environments - A Case Study on Training Disaster Management, International Journal of Emerging Technologies in Learning (iJET), 7(3), 25-34, 2012. Doi: https://doi.org/10.3991/ijet.v7i3.2046
Precipitation nowcasting:
Forest observatory:
· 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)
· 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)
· 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
· 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)
· 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
· M. Bandara, R. Jayasundara, I. Ariyarathne, D. Meedeniya, C. Perera, September 22, 2022, "FSC22 Dataset", IEEE Dataport, doi: https://dx.doi.org/10.21227/40ds-0z76
· 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
· 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, pp. 1-38, John Wiley and Sons Ltd, 2021. DOI: https://doi.org/10.1002/int.22471
· C. Abeysinghe, A. Welivita, and I. Perera. Snake Image Classification using Siamese Networks. In Proceedings of the 3rd International Conference on Graphics and Signal Processing (ICGSP '19), Hong Kong, ACM, pp. 8–12, 2019. Doi: https://doi.org/10.1145/3338472.3338476