Zobrazeno 1 - 10
of 5 794
pro vyhledávání: '"A. Ekanayake"'
Implicit Neural Representations (INRs) have recently advanced the field of deep learning due to their ability to learn continuous representations of signals without the need for large training datasets. Although INR methods have been studied for medi
Externí odkaz:
http://arxiv.org/abs/2409.01013
Autor:
Ramanayake, R. M. L. S., Dammage, D. C., Zumri, I. Z. M., Rodrigo, K. A. R. S., Perera, A. A. P., Fernando, D., Godaliyadda, G. M. R. I., Herath, H. M. V. R., Ekanayake, M. P. B., Senaratne, A., Kizel, Fadi
Conventional manual lithological mapping (MLM) through field surveys are resource-extensive and time-consuming. Digital lithological mapping (DLM), harnessing remotely sensed spectral imaging techniques, provides an effective strategy to streamline t
Externí odkaz:
http://arxiv.org/abs/2404.00896
Autor:
Fernando, Dilum, jayasundara, Dhananjaya, Godaliyadda, Roshan, Bandara, Chaminda, Ekanayake, Parakrama, Herath, Vijitha
Denoising Diffusion Probabilistic Models (DDPMs) have accomplished much in the realm of generative AI. Despite their high performance, there is room for improvement, especially in terms of sample fidelity by utilizing statistical properties that impo
Externí odkaz:
http://arxiv.org/abs/2403.16790
Publikováno v:
Sri Lankan Journal of Infectious Diseases, Vol 11, Iss 0 (2021)
NAA
Externí odkaz:
https://doaj.org/article/25ccd6382067472497f685e29ae0b856
Autor:
Ratnayake, R. M. K. L., Sumanasekara, D. M. U. P., Wickramathilaka, H. M. K. D., Godaliyadda, G. M. R. I., Ekanayake, M. P. B., Herath, H. M. V. R.
In recent years, transformer-based deep learning networks have gained popularity in Hyperspectral (HS) unmixing applications due to their superior performance. The attention mechanism within transformers facilitates input-dependent weighting and enha
Externí odkaz:
http://arxiv.org/abs/2402.03835
Autor:
G. Vidanapathirana, S. Angulmaduwa, T. Munasinghe, A. Ekanayake, P. Harasgama, N. Dissanayake, T. Kudagammana, V. Liyanapathirana
Publikováno v:
International Journal of Infectious Diseases, Vol 101, Iss , Pp 438-439 (2020)
Externí odkaz:
https://doaj.org/article/ff59dae22d99484f8e9f99947643524e
Autor:
Udayanga, Darsha, Serasinghe, Ashan, Dassanayake, Supun, Godaliyadda, Roshan, Herath, H. M. V. R., Ekanayake, M. P. B., Malshan, H. L. P.
Multispectral imaging coupled with Artificial Intelligence, Machine Learning and Signal Processing techniques work as a feasible alternative for laboratory testing, especially in food quality control. Most of the recent related research has been focu
Externí odkaz:
http://arxiv.org/abs/2310.03110
Autor:
Sivaroopan, Nirhoshan, Jayanga, Chamuditha, Ekanayake, Chalani, Watawana, Hasindri, Pradeepkumar, Jathurshan, Anandakumar, Mithunjha, Rodrigo, Ranga, Edussooriya, Chamira U. S., Wadduwage, Dushan N.
Deep neural network models can learn clinically relevant features from millions of histopathology images. However generating high-quality annotations to train such models for each hospital, each cancer type, and each diagnostic task is prohibitively
Externí odkaz:
http://arxiv.org/abs/2309.07113
Autor:
Amal Nishantha Vadysinghe, Tharanga Bandara Nayakarathne, Y. M. G. Ilangarathna Banda, Kasun Bandara Ekanayake, Isuru Perera, Yomal Wijesiriwardena
Publikováno v:
Journal of Forensic Science and Medicine, Vol 10, Iss 3, Pp 176-183 (2024)
Background: Intimate partner violence (IPV) is a worldwide issue with a high prevalence rate seen in Asia. Aims and Objectives: To plan and implement preventive measures, it is important to understand the characteristics, background, and medico-legal
Externí odkaz:
https://doaj.org/article/31ba8d0c9ff34a94ab56356fa1ba7b1c
Autor:
Karunamunige Sandun Madhuranga Karunamuni, Ekanayake Mudiyanselage Kapila Bandara Ekanayake, Subodha Dharmapriya, Asela Kumudu Kulatunga
Publikováno v:
International Journal of Industrial Engineering and Operations Management, Vol 6, Iss 3, Pp 208-231 (2024)
Purpose – The purpose of this study is to develop a novel general mathematical model to find the optimal product mix of commercial graphite products, which has a complex production process with alternative sub-processes in the graphite mining produ
Externí odkaz:
https://doaj.org/article/25b70e7a2cb24c9b9ea8e7886822def0