Zobrazeno 1 - 10
of 295
pro vyhledávání: '"Selvakumaran, P."'
Analysis of Object Detection Models for Tiny Object in Satellite Imagery: A Dataset-Centric Approach
In recent years, significant advancements have been made in deep learning-based object detection algorithms, revolutionizing basic computer vision tasks, notably in object detection, tracking, and segmentation. This paper delves into the intricate do
Externí odkaz:
http://arxiv.org/abs/2412.10453
Autor:
Ghamisi, Pedram, Yu, Weikang, Marinoni, Andrea, Gevaert, Caroline M., Persello, Claudio, Selvakumaran, Sivasakthy, Girotto, Manuela, Horton, Benjamin P., Rufin, Philippe, Hostert, Patrick, Pacifici, Fabio, Atkinson, Peter M.
The convergence of artificial intelligence (AI) and Earth observation (EO) technologies has brought geoscience and remote sensing into an era of unparalleled capabilities. AI's transformative impact on data analysis, particularly derived from EO plat
Externí odkaz:
http://arxiv.org/abs/2405.20868
Tensor completion refers to the problem of recovering the missing, corrupted or unobserved entries in data represented by tensors. In this paper, we tackle the tensor completion problem in the scenario in which multiple tensor acquisitions are availa
Externí odkaz:
http://arxiv.org/abs/2312.03436
Autor:
Sungkavi Selvakumaran, Nyssa Hadgraft, Manoj Chandrabose, Suzanne Mavoa, Neville Owen, Takemi Sugiyama
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Reducing socioeconomic inequalities in obesity is a public health priority. Limited research exists on the role of neighbourhood environmental attributes in mitigating these inequalities. However, it has been shown that neighbourh
Externí odkaz:
https://doaj.org/article/8a2753a3f9504d03a87af1d16b9fb713
Publikováno v:
National Board of Examinations Journal of Medical Sciences, Vol Volume 2, Iss Issue 11, Pp 1157-1164 (2024)
Background: Dyspepsia is a relatively common clinical condition characterized by chronic / recurrent upper abdominal pain or discomfort. Dyspeptic individuals were found to be infected with H-pylori than asymptomatic individuals. Though most individu
Externí odkaz:
https://doaj.org/article/7c333940579c458dbc80661dfa31c412
Improving Land Surface Temperature Estimation in Cloud Cover Scenarios Using Graph‐Based Propagation
Autor:
Iain Rolland, Sivasakthy Selvakumaran, Shaikh Fairul Edros Ahmad Shaikh, Perrine Hamel, Andrea Marinoni
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 23, Pp n/a-n/a (2024)
Abstract Land surface temperature (LST) serves as an important climate variable which is relevant to a number of studies related to energy and water exchanges, vegetation growth and urban heat island effects. Although LST can be derived from satellit
Externí odkaz:
https://doaj.org/article/509cda202e674d22a911ce12e13a3454
Publikováno v:
National Board of Examinations Journal of Medical Sciences, Vol Volume 2, Iss Issue 7, Pp 650-657 (2024)
Background: The symptoms of hemorrhoids has a wide spectrum that ranges from bleeding per rectum, itching, prolapse of the hemorrhoidal cushions, thrombosis leading to pain and discomfort, incontinence especially of fluids and mucous discharge. But f
Externí odkaz:
https://doaj.org/article/51fb2669b1da4766a36567cd42b02a5e
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 1155-1166 (2024)
While satellite persistent scatterer synthetic aperture radar (SAR) interferometry is an effective technique to monitor the health of structures via selection of long-term coherent pixels, detailed interpretation of displacement measurements requires
Externí odkaz:
https://doaj.org/article/9322281bf0c24c528897b86ac7c102e9
Autor:
Marinoni, Andrea, Chlaily, Saloua, Khachatrian, Eduard, Eltoft, Torbjørn, Selvakumaran, Sivasakthy, Girolami, Mark, Jutten, Christian
Modern data analytics take advantage of ensemble learning and transfer learning approaches to tackle some of the most relevant issues in data analysis, such as lack of labeled data to use to train the analysis models, sparsity of the information, and
Externí odkaz:
http://arxiv.org/abs/2105.03682
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