Results 91 to 100 of about 2,159 (198)

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

Journal of Field Robotics, Volume 43, Issue 4, Page 2553-2584, June 2026.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos, Steven Kay, Julia Wajoras, Robert Field, Evridiki V. Ntagiou, Fakher Mohammad, Yang Gao   +6 more
wiley   +1 more source

The United States Magnetotelluric Array and the National Impedance Map

Reviews of Geophysics, Volume 64, Issue 2, June 2026.
Abstract The United States Magnetotelluric Array (USMTArray) data set, collected in the years 2006–2024, consists of more than 1,700 long‐period magnetotelluric stations covering the entirety of the contiguous United States on a quasi‐regular 70 km grid.
Anna Kelbert, Paul A. Bedrosian, Adam Schultz, Gary D. Egbert, Louise Pellerin, Jeffrey J. Love, Andrew Frassetto, Benjamin S. Murphy   +7 more
wiley   +1 more source

Communities of practice and virtual learning communities : benefits, barriers and success factors [PDF]

, 2007
A virtual Community of Practice (CoP) is a network of individuals who share a domain of interest about which they communicate online. The practitioners share resources (for example experiences, problems and solutions, tools, methodologies).
Gannon-Leary, Patricia Margaret, Fontainha, Elsa, Gannon-Leary, Pat   +2 more
core  

Synthetic‐Data‐Driven Supervised Learning for Pixel‐Wise Recognition of Ionogram Layer Traces

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract The significance of automatic ionogram data interpretation is growing with the increasing number of ionosondes operating at minute‐level cadence. In recent years, deep‐learning models have substantially advanced ionogram pattern recognition. However, they typically require extensive labeled ionospheric data sets for training.
Ruslan Sherstyukov, Alexander Kozlovsky, Thomas Ulich, Samson Moges, Thomas Leyser   +4 more
wiley   +1 more source

Space Weather Effects From Moderate to Severe Geomagnetic Storms in October 2024 Over the Latin American Sector

Space Weather, Volume 24, Issue 6, June 2026.
Abstract This study presents a detailed case study of the ionospheric impacts of moderate (G2) and severe (G4) geomagnetic storms over the Latin American sector, with particular emphasis on the formation and suppression of equatorial plasma bubbles (EPBs).
C. S. Carmo, L. Dai, C. M. Wrasse, D. Barros, H. Takahashi, J. R. Costa, L. F. R. Vital, P. R. Jauer, C. De La Jara, A. J. Carrasco, C. A. O. B. Figueiredo, C. Wang, H. Li, Z. Liu   +13 more
wiley   +1 more source

Terrestrial Space Weather Protection Through Human‐Produced Mass‐Loading

Space Weather, Volume 24, Issue 6, June 2026.
Abstract While humans become more reliant on Earth's space environment, the potential for significant harm from severe space weather continues to grow. As structures from the sun reach Earth's magnetosphere and space environment, they deposit energy that fuels geomagnetic storms.
B. M. Walsh, D. T. Welling, Z. Huang
wiley   +1 more source

Advancing Heliophysics and Space Weather Modeling Through Open Science

Space Weather, Volume 24, Issue 6, June 2026.
Abstract We present a community‐wide effort to develop a strategy and action plan to advance heliophysics and space weather modeling through open science. While open science has the potential to enhance the quality and pace of scientific discovery, its application to scientific modeling requires more careful consideration regarding open data and open ...
C. Corti, M. M. Kuznetsova, M. A. Reiss, J. Yue, J. Karpen, C. N. Arge, F. Bacchini, C. Bard, S. Bruinsma, R. M. Caplan, L. K. S. Daldorff, P. J. Deka, C. R. DeVore, S. Elvidge, N. Ganushkina, J. D. Huba, B. V. Jackson, V. Jordanova, J. A. Linker, H. Liu, J. G. Luhmann, S. Markidis, P. Mayank, V. Merkin, N. Moens, D. Odstrcil, Y. A. Omelchenko, M. Palmroth, S. Poedts, A. J. Ridley, Y. Shou, V. Tenishev, D. R. Themens, G. Toth, W. Wang, R.‐P. Wilhelm, M. A. Young, B. Cecconi, M.‐Y. Chou, D. De Zeeuw, G. L. Delzanno, C. Didigu, M. El Alaoui, S. Fung, J. Green, Z. Huang, L. K. Jian, L. J. Landwer, M. Lesko, P. MacNeice, A. Masson, M. L. Mays, P. M. Mehta, M. S. Miesch, E. Palmerio, M. Petrenko, E. Provornikova, L. Rastätter, L. Rusaitis, N. Sachdeva, E. Samara, D. Sur, A. Taktakishvili, J. Topper, T. Tsui, C. Verbeke, J. Wang, C. Wiegand, M. Wiltberger, Y. Zheng, M. M. Bisi, M. K. Georgoulis, T. Kodikara, T. Pulkkinen, A. Chartier, D. da Silva, A. Faturahman, K. Garcia‐Sage, D. Kondrashov, V. E. Ledvina, W. Liu, C. Pandey, E. Resnick, C. Shi, R. S. Weigel, K. Whitman, I. Zakharenkova, K. Zhang   +87 more
wiley   +1 more source

Ionospheric Vertical Plasma Drifts Over South America: Long‐Term Multi‐Instrument Observations and TIEGCM and WACCM‐X Evaluations

Journal of Geophysical Research: Space Physics, Volume 131, Issue 6, June 2026.
Abstract We present the first comprehensive multi‐instrument climatological study of quiet‐time equatorial F‐region vertical plasma drifts across South America, a region where the magnetic declination angle varies significantly. Our analysis of well‐established long‐term ground‐based data sets from the Jicamarca incoherent scatter radar spanning 1968 ...
Sophia R. Laranja, Bela G. Fejer, Clezio M. Denardini, Ludger Scherliess, Laysa C. A. Resende, Sony S. Chen, Giorgio A. S. Picanço   +6 more
wiley   +1 more source

Sharing Low Frequency Radio Emissions in the Virtual Observatory: Application for JUNO-Ground-Radio Observations Support.

, 2016
In the frame of the preparation of the NASA/JUNO and ESA/JUICE (Jupiter Icy Moon Explorer) missions, and the development of a planetary sciences virtual observatory (VO), we are proposing a new set of tools directed to data providers as well as users, in
Imai, Masafumi, Savane, Renaud (8288448), Imai, Masafumi (8288511), Nakajo, Tomoyuki, Savane, Renaud, Kasaba, Yasumasa (8288514), Typinski, Dave, Ryabov, Vladimir (8288535), Génot, Vincent, Girard, Julien N G, Clarke, Tracy (5247514), Konovalenko, Alexander, Ryabov, Vladimir, Hess, Sébastien L G (8288454), Thieman, James (8288496), Denis, laurent, Grießmeier, Jean-Mathias (8288481), Imai, Kazumasa, Orton, Glenn S (8288532), Nakajo, Tomoyuki (8288529), Sky, Jim, Le Sidaner, Pierre (8288451), Tsuchiya, Fuminori, André, Nicolas (8288472), Génot, Vincent (8288475), Le Sidaner, Pierre, Thieman, James, Zarka, Philippe, Kasaba, Yasumasa, Anderson, Marin (8288484), Higgins, Charles, Erard, Stéphane, André, Nicolas, Cecconi, Baptiste, Konovalenko, Alexander (8288526), Hess, Sébastien L G, Kurth, William S, Misawa, Hiroaki, Erard, Stéphane (8288457), Cecconi, Baptiste (5280949), Sky, Jim (8288493), Ebert, Robert, Kumamoto, Atsushi, Zarka, Philippe (8288460), Denis, laurent (8288469), Misawa, Hiroaki (8288523), Orton, Glenn S, Lamy, Laurent, Higgins, Charles (8288490), Hobara, Yasuhide, Kurth, William S (8288508), Anderson, Marin, Kumamoto, Atsushi (8288517), Coffre, Andrée (8288466), Hobara, Yasuhide (8288502), Coffre, Andrée, Typinski, Dave (8288499), Lamy, Laurent (8288463), Clarke, Tracy, Girard, Julien N G (8288478), Tsuchiya, Fuminori (8288520), Ebert, Robert (8288487), Imai, Kazumasa (8288505), Grießmeier, Jean-Mathias   +63 more
core   +1 more source

A Virtual Learning Environment to enable CPD for Orthopaedic Surgeons across Europe

, 2003
The Virtual Orthopaedic University (VOU) is an EU-funded project which has developed a learning environment which links explicit pedagogical approaches to a set of specialised tools and resources, which will enable orthopaedic surgeons to facilitate the ...
Grange, Simon, Wills, Gary, Conole, Grainne   +2 more
core