Zobrazeno 1 - 10
of 154
pro vyhledávání: '"FERNANDO, THARINDU"'
Damage Assessment after Natural Disasters with UAVs: Semantic Feature Extraction using Deep Learning
Autor:
Hewawiththi, Nethmi S., Viduranga, M. Mahesha, Warnasooriya, Vanodhya G., Fernando, Tharindu, Suraweera, Himal A., Sridharan, Sridha, Fookes, Clinton
Unmanned aerial vehicle-assisted disaster recovery missions have been promoted recently due to their reliability and flexibility. Machine learning algorithms running onboard significantly enhance the utility of UAVs by enabling real-time data process
Externí odkaz:
http://arxiv.org/abs/2412.10756
Graphene, a two-dimensional material with tunable electronic properties, holds significant importance in condensed matter physics and material science. In this study, we analyze the curvature of graphene's ground-state energy dispersion band by exami
Externí odkaz:
http://arxiv.org/abs/2411.01658
Autor:
Ranasingha, Chinthaka, Gammulle, Harshala, Fernando, Tharindu, Sridharan, Sridha, Fookes, Clinton
Early diagnosis of Autism Spectrum Disorder (ASD) is an effective and favorable step towards enhancing the health and well-being of children with ASD. Manual ASD diagnosis testing is labor-intensive, complex, and prone to human error due to several f
Externí odkaz:
http://arxiv.org/abs/2409.18438
Autor:
Mahendren, Sutharsan, Rahman, Saimunur, Koniusz, Piotr, Fernando, Tharindu, Sridharan, Sridha, Fookes, Clinton, Moghadam, Peyman
We propose PseudoNeg-MAE, a novel self-supervised learning framework that enhances global feature representation of point cloud mask autoencoder by making them both discriminative and sensitive to transformations. Traditional contrastive learning met
Externí odkaz:
http://arxiv.org/abs/2409.15832
Occupational outcomes like entrepreneurship are generally considered personal information that individuals should have the autonomy to disclose. With the advancing capability of artificial intelligence (AI) to infer private details from widely availa
Externí odkaz:
http://arxiv.org/abs/2409.03765
Autor:
Fernando, Tharindu
Publikováno v:
Physica B: Condensed Matter (2024): 416402
Presently, the optical selection rules for excitons under circularly-polarized light are manifestly gauge-dependent. Recently, Fernando et al. introduced a gauge-invariant, quantized interband index. This index may improve the topological classificat
Externí odkaz:
http://arxiv.org/abs/2408.08311
Autor:
Mohamed, Shaheer, Haghighat, Maryam, Fernando, Tharindu, Sridharan, Sridha, Fookes, Clinton, Moghadam, Peyman
Hyperspectral images (HSIs) contain rich spectral and spatial information. Motivated by the success of transformers in the field of natural language processing and computer vision where they have shown the ability to learn long range dependencies wit
Externí odkaz:
http://arxiv.org/abs/2309.09431
Autor:
Regmi, Sabin, Sakhya, Anup Pradhan, Fernando, Tharindu, Zhao, Yuzhou, Jeff, Dylan, Sprague, Milo, Gonzalez, Favian, Elius, Iftakhar Bin, Mondal, Mazharul Islam, Valadez, Nathan, Jarrett, Damani, Agosto, Alexis, Yang, Jihui, Chu, Jiun-Haw, Khondaker, Saiful I., Xu, Xiaodong, Cao, Ting, Neupane, Madhab
Publikováno v:
Phys. Rev. B 108, L121404 (2023)
Niobium halides, Nb3X8 (X = Cl,Br,I), which are predicted two-dimensional magnets, have recently gotten attention due to their breathing kagome geometry. Here, we have studied the electronic structure of Nb3Br8 by using angle-resolved photoemission s
Externí odkaz:
http://arxiv.org/abs/2309.04865
Autor:
Fernando, Tharindu, Cao, Ting
We introduce a novel gauge-invariant, quantized interband index in two-dimensional (2D) multiband systems. It provides a bulk topological classification of a submanifold of parameter space (e.g., an electron valley in a Brillouin zone), and therefore
Externí odkaz:
http://arxiv.org/abs/2307.16893
Autor:
Jeff, Dylan A., Gonzalez, Favian, Harrison, Kamal, Zhao, Yuzhou, Fernando, Tharindu, Regmi, Sabin, Liu, Zhaoyu, Gutierrez, Humberto R., Neupane, Madhab, Yang, Jihui, Chu, Jiun-Haw, Xu, Xiaodong, Cao, Ting, Khondaker, Saiful I.
Publikováno v:
2D Mater. 10 045030 (2023)
Niobium chloride (Nb3Cl8) is a layered 2D semiconducting material with many exotic properties including a breathing kagome lattice, a topological flat band in its band structure, and a crystal structure that undergoes a structural and magnetic phase
Externí odkaz:
http://arxiv.org/abs/2306.11905