Zobrazeno 1 - 10
of 9 944
pro vyhledávání: '"Holmberg P"'
Accurate ocean forecasting systems are vital for understanding marine dynamics, which play a crucial role in environmental management and climate adaptation strategies. Traditional numerical solvers, while effective, are computationally expensive and
Externí odkaz:
http://arxiv.org/abs/2410.11807
Autor:
Balapanov, Zhumazhan, Magongo, Edward, Matvei, Vanessa, Holmberg, Olivia, Pei, Jonathan, Zhu, Kevin
Convolutional neural networks (CNNs) have made significant advances in computer vision tasks, yet their high inference times and latency often limit real-world applicability. While model compression techniques have gained popularity as solutions, the
Externí odkaz:
http://arxiv.org/abs/2410.10318
Autor:
Holmberg, Edward
A robust evaluation toolset has been designed for Naval Research Laboratory's Real-Time Ocean Forecasting System RELO with the purpose of facilitating an adaptive sampling strategy and providing more educated guidance for routing underwater gliders.
Externí odkaz:
http://arxiv.org/abs/2409.13907
Autor:
Céspedes, Lucía, Kozlowski, Diego, Pradier, Carolina, Sainte-Marie, Maxime Holmberg, Shokida, Natsumi Solange, Benz, Pierre, Poitras, Constance, Ninkov, Anton Boudreau, Ebrahimy, Saeideh, Ayeni, Philips, Filali, Sarra, Li, Bing, Larivière, Vincent
Clarivate's Web of Science (WoS) and Elsevier's Scopus have been for decades the main sources of bibliometric information. Although highly curated, these closed, proprietary databases are largely biased towards English-language publications, underest
Externí odkaz:
http://arxiv.org/abs/2409.10633
Autor:
Rigby, Frances E., Pica-Ciamarra, Lorenzo, Holmberg, Måns, Madhusudhan, Nikku, Constantinou, Savvas, Schaefer, Laura, Deng, Jie, Lee, Kanani K. M., Moses, Julianne I.
The recent JWST detections of carbon-bearing molecules in a habitable-zone sub-Neptune have opened a new era in the study of low-mass exoplanets. The sub-Neptune regime spans a wide diversity of planetary interiors and atmospheres not witnessed in th
Externí odkaz:
http://arxiv.org/abs/2409.03683
Autor:
Holmberg, Ted Edward
Existing network analysis methods struggle to optimize observer placements in dynamic environments with limited visibility. This dissertation introduces the novel ROBUST (Ranged Observer Bipartite-Unipartite SpatioTemporal) framework, offering a sign
Externí odkaz:
http://arxiv.org/abs/2406.07473
Autor:
Algasov, Aleksandr, Nepovinnykh, Ekaterina, Eerola, Tuomas, Kälviäinen, Heikki, Stewart, Charles V., Otarashvili, Lasha, Holmberg, Jason A.
Recent advancements in the automatic re-identification of animal individuals from images have opened up new possibilities for studying wildlife through camera traps and citizen science projects. Existing methods leverage distinct and permanent visual
Externí odkaz:
http://arxiv.org/abs/2405.15976
There is a growing trend among statistical agencies to explore non-probability data sources for producing more timely and detailed statistics, while reducing costs and respondent burden. Coverage and measurement error are two issues that may be prese
Externí odkaz:
http://arxiv.org/abs/2405.14208
The JWST has ushered in a new era of exoplanet transit spectroscopy. Among the JWST instruments, the Near-Infrared Spectrograph (NIRSpec) has the most extensive set of configurations for exoplanet time series observations. The NIRSpec Prism and G395H
Externí odkaz:
http://arxiv.org/abs/2405.06737
Publikováno v:
2023 IEEE International Conference on Big Data (BigData), Sorrento, Italy, 2023, pp. 2920-2929
Spatiotemporal networks' observational capabilities are crucial for accurate data gathering and informed decisions across multiple sectors. This study focuses on the Spatiotemporal Ranged Observer-Observable Bipartite Network (STROOBnet), linking obs
Externí odkaz:
http://arxiv.org/abs/2404.14388