Embedded Files
2024
D. Kalupahana, N. S. Kahatapitiya, D. Kamalathasan, R. E. Wijesinghe, B. N. Silva and U. Wijenayake, "State-of-the-Art of Deep Learning in Multidisciplinary Optical Coherence Tomography Applications," in IEEE Access, vol. 12, pp. 164462-164490, 2024, doi: 10.1109/ACCESS.2024.3492389.
Mohamed, H.; Kathriarachchi, S.K.; Kahatapitiya, N.S.; Silva, B.N.; Kalupahana, D.; Edirisinghe, S.; Wijenayake, U.; Ravichandran, N.K.; Wijesinghe, R.E. Early-Stage Prototype Assessment of Cost-Effective Non-Intrusive Wearable Device for Instant Home Fetal Movement and Distress Detection: A Pilot Study. Diagnostics 2024, 14, 1938. https://doi.org/10.3390/diagnostics14171938
Kalupahana, D.; Kahatapitiya, N.S.; Silva, B.N.; Kim, J.; Jeon, M.; Wijenayake, U.; Wijesinghe, R.E. Dense Convolutional Neural Network-Based Deep Learning Pipeline for Pre-Identification of Circular Leaf Spot Disease of Diospyros kaki Leaves Using Optical Coherence Tomography. Sensors 2024, 24, 5398. https://doi.org/10.3390/s24165398
D. B. Weerasekara, N. S. Kahatapitiya, N. Sanjeewa, V. M.Wathudura, N. Prasanna, D. Kalupahana, U. Wijenayake, B. N. Silva, A. Wijethunge, R. E. Wijesinghe,(2024, August 8). Image Acquisition and Deep Convolution Neural Network Incorporated Cost-Effective Automated Nursery Disease Detection Method for the Tea Industry. MERCon 2024, University of Moratuwa, Sri Lanka.
N. S. Kahatapitiya , D. Kalupahana, H. Mohamed , B. N. Silva , U. Wijenayake, S. Han, D. Seong, M. Jeon, J. Kim, R. E. Wijesinghe, (2024, November 26). Detection of Peak Intensity Using an Integrated Optical Modeling Method for Identifying Defective Apple Leaves. Smart Agriculture Sensors. 11th International Electronic Conference on Sensors and Applications. (Accepted)
Wijesinghe, R.E.; Kahatapitiya, N.S.; Lee, C.; Han, S.; Kim, S.; Saleah, S.A.; Seong, D.; Silva, B.N.; Wijenayake, U.; Ravichandran, N.K.; et al. Growing Trend to Adopt Speckle Variance Optical Coherence Tomography for Biological Tissue Assessments in Pre-Clinical Applications. Micromachines 2024, 15, 564. https://doi.org/10.3390/mi15050564
2023
M. Harischandra et al., "Development of Image Processing Incorporated Real-Time Smart Water Quality Monitoring System to Detect Algae and Debris for a Sustainable Environment," 2023 5th International Conference on Advancements in Computing (ICAC), Colombo, Sri Lanka, 2023, pp. 245-250, doi: 10.1109/ICAC60630.2023.10417531.
N. S. Kahatapitiya et al., "Development of Convolutional Neural Network-Based AI-Dermatoscope for Non-Invasive Skin Assessments," 2023 5th International Conference on Advancements in Computing (ICAC), Colombo, Sri Lanka, 2023, pp. 852-856, doi: 10.1109/ICAC60630.2023.10417424.
Abdhul Rahuman, M.A.; Kahatapitiya, N.S.; Amarakoon, V.N.; Wijenayake, U.; Silva, B.N.; Jeon, M.; Kim, J.; Ravichandran, N.K.; Wijesinghe, R.E. Recent Technological Progress of Fiber-Optical Sensors for Bio-Mechatronics Applications. Technologies 2023, 11, 157. https://doi.org/10.3390/technologies11060157
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