Zobrazeno 1 - 10
of 10 012
pro vyhledávání: '"Holmberg, P."'
Autor:
Otarashvili, Lasha, Subramanian, Tamilselvan, Holmberg, Jason, Levenson, J. J., Stewart, Charles V.
Recent work has established the ecological importance of developing algorithms for identifying animals individually from images. Typically, a separate algorithm is trained for each species, a natural step but one that creates significant barriers to
Externí odkaz:
http://arxiv.org/abs/2412.05602
Autor:
Sundaresan, Avirath, Parham, Jason R., Crall, Jonathan, Warungu, Rosemary, Muthami, Timothy, Mwangi, Margaret, Miliko, Jackson, Holmberg, Jason, Berger-Wolf, Tanya Y., Rubenstein, Daniel, Stewart, Charles V., Beery, Sara
In both 2016 and 2018, a census of the highly-endangered Grevy's zebra population was enabled by the Great Grevy's Rally (GGR), a citizen science event that produces population estimates via expert and algorithmic curation of volunteer-captured image
Externí odkaz:
http://arxiv.org/abs/2412.00290
The Novatron magnetic mirror fusion reactor concept features significant advantages. These include stability against MHD interchange and kinetic DCLC modes, axisymmetry, and minimized radial particle drifts and neoclassical losses. For achieving a ra
Externí odkaz:
http://arxiv.org/abs/2410.20134
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, Matvei, Vanessa, Holmberg, Olivia, Magongo, Edward, 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