Zobrazeno 1 - 10
of 603
pro vyhledávání: '"Deepan, P."'
Machine learning (ML) has demonstrated remarkable capabilities across many real-world systems, from predictive modeling to intelligent automation. However, the widespread integration of machine learning also makes it necessary to ensure machine learn
Externí odkaz:
http://arxiv.org/abs/2401.02552
Autor:
Yeo, Joel, Daurer, Benedikt J., Kimanius, Dari, Balakrishnan, Deepan, Bepler, Tristan, Tan, Yong Zi, Loh, N. Duane
Ewald sphere curvature correction, which extends beyond the projection approximation, stretches the shallow depth of field in cryo-EM reconstructions of thick particles. Here we show that even for previously assumed thin particles, reconstruction art
Externí odkaz:
http://arxiv.org/abs/2312.08965
Autor:
Subramanian Deepan, Murugan Saravanan
Publikováno v:
ETRI Journal, Vol 46, Iss 5, Pp 915-927 (2024)
We obtain the air quality index (AQI) for a descriptive system aimed to communicate pollution risks to the population. The AQI is calculated based on major air pollutants including O3, CO, SO2, NO, NO2, benzene, and particulate matter PM2.5 that shou
Externí odkaz:
https://doaj.org/article/fb880beab6d14836bf59bf2350dc736e
Saliency methods are frequently used to explain Deep Neural Network-based models. Adebayo et al.'s work on evaluating saliency methods for classification models illustrate certain explanation methods fail the model and data randomization tests. Howev
Externí odkaz:
http://arxiv.org/abs/2306.02424
Autor:
Balakrishnan, Deepan, Prakash, Anupama, Daurer, Benedikt J., Finet, Cédric, Lim, Ying Chen, Shen, Zhou, Thibault, Pierre, Monteiro, Antónia, Loh, N. Duane
How pigment distribution correlates with cuticle density within a microscopic butterfly wing scale, and how both impact final reflected color remains unknown. We used ptychographic X-ray computed tomography to quantitatively determine, at nanoscale r
Externí odkaz:
http://arxiv.org/abs/2305.16628
Few-shot learning (FSL) techniques seek to learn the underlying patterns in data using fewer samples, analogous to how humans learn from limited experience. In this limited-data scenario, the challenges associated with deep neural networks, such as s
Externí odkaz:
http://arxiv.org/abs/2304.06672
Autor:
Noppachai Siranart, Natee Deepan, Witina Techasatian, Somkiat Phutinart, Walit Sowalertrat, Ponthakorn Kaewkanha, Patavee Pajareya, Nithi Tokavanich, Narut Prasitlumkum, Ronpichai Chokesuwattanaskul
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Several studies suggested the utility of artificial intelligence (AI) in screening left ventricular hypertrophy (LVH). We hence conducted systematic review and meta-analysis comparing diagnostic accuracy of AI to Sokolow–Lyon’s and Corne
Externí odkaz:
https://doaj.org/article/35f965c84eef4e19b09c4cdf5891fdba
In this paper, we consider the problem of learning online to manage Demand Response (DR) resources. A typical DR mechanism requires the DR manager to assign a baseline to the participating consumer, where the baseline is an estimate of the counterfac
Externí odkaz:
http://arxiv.org/abs/2303.15617
This paper proposes a two-level hierarchical matching framework for Integrated Hybrid Resources (IHRs) with grid constraints. An IHR is a collection of Renewable Energy Sources (RES) and flexible customers within a certain power system zone, endowed
Externí odkaz:
http://arxiv.org/abs/2301.13796
Autor:
Nancy E. Sealover, Jacob M. Hughes, Patricia L. Theard, Deepan Chatterjee, Amanda J. Linke, Bridget A. Finniff, Brianna R. Daley, Robert E. Lewis, Robert L. Kortum
Publikováno v:
STAR Protocols, Vol 5, Iss 4, Pp 103361- (2024)
Summary: Acquired resistance to oncogene-targeted therapies is the major driver of mortality for patients with cancer. Here, we present a 6-to-16-week assay to model the development of acquired resistance in adherent and suspension cancer cell lines.
Externí odkaz:
https://doaj.org/article/f0666369e1db465b8a5f5a2b715e72c7