Takip et
Chinthaka Pathum Dinesh
Chinthaka Pathum Dinesh
Northeastern University
northeastern.edu üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Incorporating appliance usage patterns for non-intrusive load monitoring and load forecasting
S Welikala, C Dinesh, MPB Ekanayake, RI Godaliyadda, J Ekanayake
IEEE Transactions on Smart Grid 10 (1), 448-461, 2017
1892017
Residential appliance identification based on spectral information of low frequency smart meter measurements
C Dinesh, BW Nettasinghe, RI Godaliyadda, MPB Ekanayake, ...
IEEE Transactions on smart grid 7 (6), 2781-2792, 2015
1222015
Point cloud denoising via feature graph Laplacian regularization
C Dinesh, G Cheung, IV Bajić
IEEE Transactions on Image Processing 29, 4143-4158, 2020
912020
Residential power forecasting using load identification and graph spectral clustering
C Dinesh, S Makonin, IV Bajić
IEEE Transactions on Circuits and Systems II: Express Briefs 66 (11), 1900-1904, 2019
802019
Non-intrusive load monitoring under residential solar power influx
C Dinesh, S Welikala, Y Liyanage, MPB Ekanayake, RI Godaliyadda, ...
Applied energy 205, 1068-1080, 2017
692017
3D point cloud super-resolution via graph total variation on surface normals
C Dinesh, G Cheung, IV Bajić
2019 IEEE international conference on image processing (ICIP), 4390-4394, 2019
422019
Exemplar-based Framework for 3D Point Cloud Hole Filling
C Dinesh, IV Bajic, G Cheung
IEEE VCIP, 2017
292017
Ambient radio frequency energy harvesting
W Gunathilaka, H Dinesh, G Gunasekara, K Narampanawe, ...
2012 IEEE 7th International Conference on Industrial and Information Systems …, 2012
252012
3D point cloud color denoising using convex graph-signal smoothness priors
C Dinesh, G Cheung, IV Bajić
2019 IEEE 21st International Workshop on Multimedia Signal Processing (MMSP …, 2019
242019
Fast 3D point cloud denoising via bipartite graph approximation & total variation
C Dinesh, G Cheung, IV Bajic, C Yang
arXiv preprint arXiv:1804.10831, 2018
232018
Super-resolution of 3D color point clouds via fast graph total variation
C Dinesh, G Cheung, IV Bajić
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
222020
Adaptive nonrigid inpainting of three-dimensional point cloud geometry
C Dinesh, IV Bajić, G Cheung
IEEE Signal Processing Letters 25 (6), 878-882, 2018
222018
3D point cloud denoising via bipartite graph approximation and reweighted graph laplacian
C Dinesh, G Cheung, IV Bajic
arXiv preprint arXiv:1812.07711, 2018
212018
Local 3D point cloud denoising via bipartite graph approximation & total variation
C Dinesh, G Cheung, IV Bajić, C Yang
2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP …, 2018
212018
Residential power forecasting based on affinity aggregation spectral clustering
C Dinesh, S Makonin, IV Bajić
IEEE Access 8, 99431-99444, 2020
202020
INCORPORATING TIME-OF-DAY USAGE PATTERNS INTO NON-INTRUSIVE LOAD MONITORING
C Dinesh, S Makonin, IV Bajic
IEEE GlobalSIP, 2017
202017
Robust non-intrusive load monitoring (nilm) with unknown loads
S Welikala, C Dinesh, RI Godaliyadda, MPB Ekanayake, J Ekanayake
2016 IEEE international conference on information and automation for …, 2016
182016
Point cloud sampling via graph balancing and Gershgorin disc alignment
C Dinesh, G Cheung, IV Bajić
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (1), 868-886, 2022
172022
Individual power profile estimation of residential appliances using low frequency smart meter data
H Dinesh, PH Perera, G Godaliyadda, MPB Ekanayake, JB Ekanayake
2015 IEEE 10th International Conference on Industrial and Information …, 2015
172015
A subspace signature based approach for residential appliances identification using less informative and low resolution smart meter data
H Dinesh, DBW Nettasinghe, G Godaliyadda, MPB Ekanayake, ...
2014 9th International conference on industrial and information systems …, 2014
172014
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