Zobrazeno 1 - 10
of 4 333
pro vyhledávání: '"P. Peiris"'
Autor:
Peiris, Himashi, Chen, Zhaolin
Accurate hippocampus segmentation in brain MRI is critical for studying cognitive and memory functions and diagnosing neurodevelopmental disorders. While high-field MRIs provide detailed imaging, low-field MRIs are more accessible and cost-effective,
Externí odkaz:
http://arxiv.org/abs/2410.17502
Autor:
Peiris, Pamodya, Samanta, Aritra, Mucchiani, Caio, Simons, Cody, Roy-Chowdhury, Amit, Karydis, Konstantinos
Water is often overused in irrigation, making efficient management of it crucial. Precision Agriculture emphasizes tools like stem water potential (SWP) analysis for better plant status determination. However, such tools often require labor-intensive
Externí odkaz:
http://arxiv.org/abs/2409.16412
A long memory and non-linear realized volatility model class is proposed for direct Value at Risk (VaR) forecasting. This model, referred to as RNN-HAR, extends the heterogeneous autoregressive (HAR) model, a framework known for efficiently capturing
Externí odkaz:
http://arxiv.org/abs/2408.13588
This paper considers the impact of unforced errors in sport. Although the proposed methods are applicable to various sports, we demonstrate the approach in the context of professional tennis. The value of the approach is that we can provide estimates
Externí odkaz:
http://arxiv.org/abs/2407.19321
Autor:
Peiris, Akila, de Silva, Nisansa
Manual data annotation is an important NLP task but one that takes considerable amount of resources and effort. In spite of the costs, labeling and categorizing entities is essential for NLP tasks such as semantic evaluation. Even though annotation c
Externí odkaz:
http://arxiv.org/abs/2407.00407
Autor:
Thorp, Stephen, Alsing, Justin, Peiris, Hiranya V., Deger, Sinan, Mortlock, Daniel J., Leistedt, Boris, Leja, Joel, Loureiro, Arthur
Publikováno v:
ApJ 975, 145 (2024)
We present an efficient Bayesian method for estimating individual photometric redshifts and galaxy properties under a pre-trained population model (pop-cosmos) that was calibrated using purely photometric data. This model specifies a prior distributi
Externí odkaz:
http://arxiv.org/abs/2406.19437
Motion artifacts in Magnetic Resonance Imaging (MRI) are one of the frequently occurring artifacts due to patient movements during scanning. Motion is estimated to be present in approximately 30% of clinical MRI scans; however, motion has not been ex
Externí odkaz:
http://arxiv.org/abs/2405.17756
The abundance of dark matter haloes is a key cosmological probe in forthcoming galaxy surveys. The theoretical understanding of the halo mass function (HMF) is limited by our incomplete knowledge of the origin of non-universality and its cosmological
Externí odkaz:
http://arxiv.org/abs/2405.15850
Autor:
Sinclair, Benjamin, Vivash, Lucy, Moses, Jasmine, Lynch, Miranda, Pham, William, Dorfman, Karina, Marotta, Cassandra, Koh, Shaun, Bunyamin, Jacob, Rowsthorn, Ella, Jarema, Alex, Peiris, Himashi, Chen, Zhaolin, Shultz, Sandy R, Wright, David K, Kong, Dexiao, Naismith, Sharon L., OBrien, Terence J., Law, Meng
Perivascular spaces(PVSs) form a central component of the brain\'s waste clearance system, the glymphatic system. These structures are visible on MRI images, and their morphology is associated with aging and neurological disease. Manual quantificatio
Externí odkaz:
http://arxiv.org/abs/2405.08337
Autor:
Chatziparaschis, Dimitrios, Teng, Hanzhe, Wang, Yipeng, Peiris, Pamodya, Scudiero, Elia, Karydis, Konstantinos
By-tree information gathering is an essential task in precision agriculture achieved by ground mobile sensors, but it can be time- and labor-intensive. In this paper we present an algorithmic framework to perform real-time and on-the-go detection of
Externí odkaz:
http://arxiv.org/abs/2404.02516