Showing results 24 to 43 of 59
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| Issue Date | Title | Author(s) |
| 2021-12-09 | Human and Organizational Threat Profiling Using Machine Learning | Kumara, P. M. I. N; Dananjaya, K. G. S; Amarasena, N. P. N. H; Pinto, H. M. S; Yapa, K; Rupasinghe, L |
| 2022-01 | Human Tracking and Profiling for Risk Management | Ranjith, K. H. V. S; Jayasekara, A. S; Ratnasooriya, K. A. L. L; Thilini Randika, J. L; Rupasinghe, L; Liyanapathirana, C |
| 2022-07-18 | IDairy: Intelligence and Secure E-Commerce Platform for Dairy Production and Distribution Using Block Chain and Machine Learning | Liyanage, I; Madhuwantha, N; Perera, M; Ruhunage, S; Mahaadikara, M. D. J. T. H; Rupasinghe, L |
| 2017-01-27 | IGOE IoT framework for waste collection optimization | Lokuliyana, S; Jayakody, J. A. D. C. A.; Rupasinghe, L; Kandawala, S |
| 2017-01-27 | IGOE IoT framework for waste collection optimization | Lokuliyana, S; Jayakody, A; Rupasinghe, L; Kandawala, S |
| 2017-09-06 | Improving trusted routing by identifying malicious nodes in a MANET using reinforcement learning | Mayadunna, H; De Silva, S. L; Wedage, L; Pabasara, S; Rupasinghe, L; Liyanapathirana, C; Kesavan, K; Nawarathna, C; Sampath, K. K |
| 2020-12-02 | Infinity yoga tutor: Yoga posture detection and correction system | Rishan, F; De Silva, B; Alawathugoda, S; Nijabdeen, S; Rupasinghe, L; Liyanapathirana, C |
| 2020-12-10 | An Integrated Framework for Predicting Health Based on Sensor Data Using Machine Learning | Jayaweera, K. N; Kallora, K. M. C; Subasinghe, N. A. C. K; Rupasinghe, L; Liyanapathirana, C |
| 2005-10-20 | Integrating industrial technologies, tools and practices to the IT curriculum: an innovative course with .NET and java platforms | Athauda, R; Kodagoda, N; Wickramaratne, J; Sumathipala, P; Rupasinghe, L; Edirisighe, A; Gamage, A; De Silva, D |
| 2019-12-05 | Intelligent Flood Management System | Fernando, M. J. D; Pathirana, D. A. K. K; Jayasooriya, W. J. K. T. D; Rathnaweera, S. A. H; Rupasinghe, L |
| 2019-12-05 | Intelligent SOC Chatbot for Security Operation Center | Perera, V. H; Senarathne, A. N; Rupasinghe, L |
| 2016-12-08 | Intruder detection using deep learning and association rule mining | Thilina, A; Attanayake, S; Samarakoon, S; Nawodya, D; Rupasinghe, L; Pathirage, N; Edirisinghe, T; Krishnadeva, K |
| 2016 | A Light Weight Provenance Aware Trust Negotiation Algorithm for Smart Objects in IoT | Jayakody, A; Rupasinghe, L; Mapa, N. T; Disanayaka, T. S; Kandawala, D. S. A; Dinusha, K. D |
| 2016 | A light weight provenance aware trust negotiation algorithm for smart objects in IoT | Jayakody, A; Rupasinghe, L; Mapa, N; Disanayaka, T; Kandawala, D; Dinusha, K |
| 2019-12-05 | Mobile-based Malware Detection and Classification using Ensemble Artificial Intelligence | Somasundaram, S; Kasthurirathna, D; Rupasinghe, L |
| 2019-12-05 | Mobile-based Malware Detection and Classification using Ensemble Artificial Intelligence | Somasundaram, S; Kasthurirathna, D; Rupasinghe, L |
| 2022-07-18 | Multilingual Conversational AI incorporated with Visual Questions Answering and Intelligent Disease Prediction for Healthcare Industry | Sasmitha, N. U. A.; Wathasha, H. K. G. V.; Guruge, P. P. L.; Silva, W. J. T.; Rupasinghe, L; Gunarathne, G. W. D. A. |
| 2017-01-27 | A new elliptic curve cryptographic system over the finite fields | Priyatharsan, U; Rupasinghe, L; Murray, I |
| 2017-01-27 | A new elliptic curve cryptographic system over the finite fields | Priyatharsan, U; Rupasinghe, L; Murray, I |
| 2022-11-03 | A Notion of Real-Time Anomaly Detection for IoT Devices Based on Hardware-Level Performance | Umagiliya, T; Senarathne, A; Rupasinghe, L |
