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Vidyaratne, L.
72  results:
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1

An ensemble of convolution-based methods for fault detectio..:

, In: 2023 IEEE International Conference on Prognostics and Health Management (ICPHM),
Lee, Xian Yeow ; Kumar, Aman ; Vidyaratne, Lasitha... - p. 172-179 , 2023
Link: https://doi.org/10.1109/..
 
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2

Uncertainty Aware Deep Learning for Fault Prediction Using ..:

, In: 2023 International Joint Conference on Neural Networks (IJCNN),
Rahman, Md Monibor ; Vidyaratne, L. ; Carpenter, A... - p. 1-7 , 2023
Link: https://doi.org/10.1109/..
 
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3

Multi-module-based CVAE to predict HVCM faults in the SNS a..:

Alanazi, Yasir ; Schram, Malachi ; Rajput, Kishansingh...
Machine Learning with Applications.  13 (2023)  - p. 100484 , 2023
Link: https://doi.org/10.1016/..
 
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4

3D far-field Lidar sensing and computational modeling for h..:

Glandon, Alexandar ; Vidyaratne, Lasitha ; Dhar, Nibir...
Applied Optics.  , 2023
Link: https://doi.org/10.1364/..
 
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5

XDNet: A Few-Shot Meta-Learning Approach for Cross-Domain V..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),
Lee, Xian Yeow ; Vidyaratne, Lasitha ; Alam, Mahbubul... - p. 4375-4384 , 2023
Link: https://doi.org/10.1109/..
 
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6

An ensemble of convolution-based methods for fault detectio..:

Lee, Xian Yeow ; Kumar, Aman ; Vidyaratne, Lasitha...
http://arxiv.org/abs/2305.05532.  , 2023
Link: http://arxiv.org/abs/230..
 
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7

Multi-module based CVAE to predict HVCM faults in the SNS a..:

Alanazi, Yasir ; Schram, Malachi ; Rajput, Kishansingh...
http://arxiv.org/abs/2304.10639.  , 2023
Link: http://arxiv.org/abs/230..
 
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8

Multi-module-based CVAE to predict HVCM faults in the SNS a..:

Yasir Alanazi ; Malachi Schram ; Kishansingh Rajput...
http://www.sciencedirect.com/science/article/pii/S2666827023000373.  , 2023
Link: https://doi.org/10.1016/..
 
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9

Time series anomaly detection in power electronics signals ..:

Radaideh, Majdi I. ; Pappas, Chris ; Walden, Jared...
Digital Signal Processing.  130 (2022)  - p. 103704 , 2022
Link: https://doi.org/10.1016/..
 
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10

Disease characteristics and response to treatment of patien..:

Costa, YJ ; Senanayake, SJ ; Williams, HSA...
The Sri Lanka Journal of Haematology.  14 (2022)  1 - p. 5-11 , 2022
Link: https://doi.org/10.4038/..
 
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11

Brain Tumor Segmentation Using UNet-Context Encoding Networ:

, In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries; Lecture Notes in Computer Science,
Rahman, Md. Monibor ; Sadique, Md. Shibly ; Temtam, Ahmed G.... - p. 463-472 , 2022
Link: https://doi.org/10.1007/..
 
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12

The Influence of Natural Selection and Other Disciplines on..:

Vidyaratne, Herath
Theoretical Economics Letters.  12 (2022)  5 - p. 1335-1350 , 2022
Link: https://doi.org/10.4236/..
 
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13

Deep Learning Based Superconducting Radio-Frequency Cavity ..:

Vidyaratne, Lasitha ; Carpenter, Adam ; Powers, Tom...
Frontiers in Artificial Intelligence.  4 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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14

NeurIPS'22 Cross-Domain MetaDL Challenge: Results and lesso..:

Carrión-Ojeda, Dustin ; Alam, Mahbubul ; Escalera, Sergio...
info:eu-repo/semantics/altIdentifier/arxiv/2208.14686.  , 2022
Link: https://hal.science/hal-..
 
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15

Real-Time Cavity Fault Prediction in CEBAF Using Deep Learn..:

Rahman, Md. M ; Iftekharuddin, K ; Carptenter, A...
https://digitalcommons.odu.edu/ece_fac_pubs/346.  , 2022
Link: https://digitalcommons.o..
 
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