Zobrazeno 1 - 10
of 189
pro vyhledávání: '"Natarajan Purushothaman"'
Sonar image synthesis is crucial for advancing applications in underwater exploration, marine biology, and defence. Traditional methods often rely on extensive and costly data collection using sonar sensors, jeopardizing data quality and diversity. T
Externí odkaz:
http://arxiv.org/abs/2410.08612
Deep learning techniques have revolutionized image classification by mimicking human cognition and automating complex decision-making processes. However, the deployment of AI systems in the wild, especially in high-security domains such as defence, i
Externí odkaz:
http://arxiv.org/abs/2408.12837
Deep Neural Networks (DNNs) have revolutionized various fields by enabling task automation and reducing human error. However, their internal workings and decision-making processes remain obscure due to their black box nature. Consequently, the lack o
Externí odkaz:
http://arxiv.org/abs/2408.12808
Publikováno v:
Respiratory Research, Vol 19, Iss 1, Pp 1-11 (2018)
Abstract Background Early life impairments leading to lower lung function by adulthood are considered as risk factors for chronic obstructive pulmonary disease (COPD). Recently, we compared the lung transcriptomic profile between two mouse strains wi
Externí odkaz:
https://doaj.org/article/0d1cfce5c75d4084a4644c1eb046cfc6
Autor:
Natarajan, Purushothaman, Martha Schofield, Alice, Elena Vinturache, Angela, Ruthven, Suart, Lane, Steve, Duncan Macdonald, Robert
Publikováno v:
In European Journal of Obstetrics & Gynecology and Reproductive Biology May 2024 296:311-315
Autor:
Natarajan, Purushothaman1,2 (AUTHOR), Delanerolle, Gayathri3 (AUTHOR), Dobson, Lucy1,2 (AUTHOR), Xu, Cong4 (AUTHOR), Zeng, Yutian4 (AUTHOR), Yu, Xuan4 (AUTHOR), Marston, Kathleen1 (AUTHOR), Phan, Thuan1 (AUTHOR), Choi, Fiona1,2 (AUTHOR), Barzilova, Vanya1 (AUTHOR), Powell, Simon G.1 (AUTHOR), Wyatt, James1 (AUTHOR), Taylor, Sian2 (AUTHOR), Shi, Jian Qing4,5 (AUTHOR), Hapangama, Dharani K.1,2 (AUTHOR) dharani@liv.ac.uk
Publikováno v:
Cancers. May2024, Vol. 16 Issue 10, p1860. 29p.
Publikováno v:
BMC Genomics, Vol 12, Iss 1, p 191 (2011)
Abstract Background Jatropha curcas L. is an important non-edible oilseed crop with promising future in biodiesel production. However, factors like oil yield, oil composition, toxic compounds in oil cake, pests and diseases limit its commercial poten
Externí odkaz:
https://doaj.org/article/b0a9d263eea54d8cb8202c13b04540e4
Autor:
Sugantham Priyanka Annabel, shree Noopur, Panchalingam Jasintha, Gunadayalan Gnanasekaran, Kanagasabapathy Deepa, Natarajan Purushothaman, Singh Kavita Kumari, Madasamy Parani
Publikováno v:
BMC Genomics, Vol 11, Iss 1, p 606 (2010)
Abstract Background Jatropha curcas L. is promoted as an important non-edible biodiesel crop worldwide. Jatropha oil, which is a triacylglycerol, can be directly blended with petro-diesel or transesterified with methanol and used as biodiesel. Geneti
Externí odkaz:
https://doaj.org/article/0de3eacab4db4bd1a72454268bac308f
Autor:
Reddy, Umesh K., Lopez-Ortiz, Carlos, Talavera-Caro, Alicia Guadalupe, Natarajan, Purushothaman, Tomason, Yan, Alaparthi, Suresh, Levi, Amnon, Nimmakayala, Padma
Publikováno v:
In Scientia Horticulturae 15 March 2023 312
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