Zobrazeno 1 - 10
of 192
pro vyhledávání: '"Srinivasan Keshav"'
Publikováno v:
Ecological Informatics, Vol 82, Iss , Pp 102774- (2024)
Trunk diameter is related to the overall health and level of carbon sequestration in a tree. Trunk diameter measurement, therefore, is a key task in both forest plot and urban settings. Unlike the traditional approach of manual measurement with a mea
Externí odkaz:
https://doaj.org/article/04800580015d46ffbf55c3866dd53a77
Autor:
Anaïs Berkes, Srinivasan Keshav
Publikováno v:
Energy Informatics, Vol 7, Iss 1, Pp 1-21 (2024)
Abstract The Covid-19 pandemic has resulted in a permanent shift in individuals’ daily routines and driving behaviours, leading to an increase in remote work. There has also been an independent and parallel rise in the adoption of solar photovoltai
Externí odkaz:
https://doaj.org/article/8d657f04746644b3ab0d08c26cbce249
Autor:
E-Ping Rau, James Gross, David Anthony Coomes, Thomas Swinfield, Anil Madhavapeddy, Andrew Balmford, Srinivasan Keshav
Publikováno v:
Carbon Management, Vol 15, Iss 1 (2024)
Nature-based climate solutions supply carbon credits generated from net carbon drawdown in exchange for project funding, but their credibility is challenged by the inherent variability and impermanence of drawdown. By evaluating drawdown benefits fro
Externí odkaz:
https://doaj.org/article/34cf7340018442c78a16cb4b631a9ee4
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13162-13168 (2024)
Satellite-based monitoring is a key tool for supporting global food security and natural resource management but is challenged by cloud corruption and lack of labeled training data. To address these issues, self-supervised learning (SSL) techniques h
Externí odkaz:
https://doaj.org/article/b5f1d1f6c52a42b6b58e397469d690b2
Publikováno v:
Science of Remote Sensing, Vol 8, Iss , Pp 100106- (2023)
Tropical secondary forests are ecosystems of critical importance for protecting biodiversity, buffering primary forest loss, and sequestering atmospheric carbon. Monitoring growth and carbon sequestration in secondary forests is difficult, with inven
Externí odkaz:
https://doaj.org/article/80149d9faf274bf689c7d8fa10def219
Publikováno v:
Energy Informatics, Vol 6, Iss 1, Pp 1-19 (2023)
Abstract Buildings are responsible for a significant fraction of the overall electrical load. Given the increasing penetration of renewables into the generation mix, it is important to make building loads flexible, to better match the variability in
Externí odkaz:
https://doaj.org/article/a0ac711d554d4d279c44cf8919726605
Reservoir computing (RC) is known as a powerful machine learning approach for learning complex dynamics from limited data. Here, we use RC to predict highly stochastic dynamics of cell shapes. We find that RC is able to predict the steady state clima
Externí odkaz:
http://arxiv.org/abs/2408.07998
Publikováno v:
Energy Informatics, Vol 6, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/68487dcdb86a4e6da45d59f19ea38b6c
Publikováno v:
Remote Sensing, Vol 15, Iss 3, p 772 (2023)
Ground-based forest inventories are reliable methods for forest carbon monitoring, reporting, and verification schemes and the cornerstone of forest ecology research. Recent work using LiDAR-equipped mobile phones to automate parts of the forest inve
Externí odkaz:
https://doaj.org/article/156183a6eb994e699d9d66c98051db88
Publikováno v:
Energy Informatics, Vol 2, Iss 1, Pp 1-22 (2019)
Abstract Model-based optimization of energy systems with batteries requires a battery model that is accurate, tractable, and easy to calibrate. Developing such a model is challenging because electrochemical batteries exhibit complex behaviours. In th
Externí odkaz:
https://doaj.org/article/c15adaaf086a491e8cd197603d63b8c7