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1. Distributed Multiple Gaussian Filtering for Multiple Target Localization in Wireless Sensor Networks

   https://doi.org/10.1109/ACSSC.2018.8645554  

   Vila-Valls, Jordi ; Closas, Pau ; Bugallo, Monica F. ; Miguez, Joaquin ( October 2018 , 2018 52nd Asilomar Conference on Signals, Systems, and Computers)
2. Multiple Forecast Visualizations (MFVs): Trade-offs in Trust and Performance in Multiple COVID-19 Forecast Visualizations

   https://doi.org/10.1109/TVCG.2022.3209457  

   Padilla, Lace ; Fygenson, Racquel ; Castro, Spencer C. ; Bertini, Enrico ( January 2022 , IEEE Transactions on Visualization and Computer Graphics)

   The prevalence of inadequate SARS-COV-2 (COVID-19) responses may indicate a lack of trust in forecasts and risk communication. However, no work has empirically tested how multiple forecast visualization choices impact trust and task-based performance. The three studies presented in this paper (N=1299) examine how visualization choices impact trust in COVID-19 mortality forecasts and how they influence performance in a trend prediction task. These studies focus on line charts populated with real-time COVID-19 data that varied the number and color encoding of the forecasts and the presence of best/worst-case forecasts. The studies reveal that trust in COVID-19 forecast visualizations initially increases with the number of forecasts and then plateaus after 6–9 forecasts. However, participants were most trusting of visualizations that showed less visual information, including a 95% confidence interval, single forecast, and grayscale encoded forecasts. Participants maintained high trust in intervals labeled with 50% and 25% and did not proportionally scale their trust to the indicated interval size. Despite the high trust, the 95% CI condition was the most likely to evoke predictions that did not correspond with the actual COVID-19 trend. Qualitative analysis of participants' strategies confirmed that many participants trusted both the simplistic visualizations and those with numerous forecasts. This work provides practical guides for how COVID-19 forecast visualizations influence trust, including recommendations for identifying the range where forecasts balance trade-offs between trust and task-based performance. 

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3. Weighted network search games with multiple hidden objects and multiple search teams

   https://doi.org/10.1016/j.ejor.2020.06.046  

   Yolmeh, Abdolmajid ; Baykal-Gürsoy, Melike ( July 2020 , European Journal of Operational Research)
4. Multiple Auroral Streamer Bundles in Conjugate Hemispheres and Multiple Near‐Earth Injections

   https://doi.org/10.1029/2022JA031010  

   Tian, S. ; Wang, C.‐P. ; Lyons, L. R. ; Bortnik, J. ; Weygand, J. M. ; Liu, J. ; Yadav, S. ; Ma, Q. ; Reeves, G. D. ; Henderson, M. G. ; et al ( January 2023 , Journal of Geophysical Research: Space Physics)
5. Multiple-Platform and Multiple-Doppler Radar Observations of a Supercell Thunderstorm in South America during RELAMPAGO

   https://doi.org/10.1175/MWR-D-20-0125.1  

   Trapp, Robert J. ; Kosiba, Karen A. ; Marquis, James N. ; Kumjian, Matthew R. ; Nesbitt, Stephen W. ; Wurman, Joshua ; Salio, Paola ; Grover, Maxwell A. ; Robinson, Paul ; Hence, Deanna A. ( August 2020 , Monthly Weather Review)

   Abstract On 10 November 2018, during the RELAMPAGO field campaign in Argentina, South America, a thunderstorm with supercell characteristics was observed by an array of mobile observing instruments, including three Doppler on Wheels radars. In contrast to the archetypal supercell described in the Glossary of Meteorology, the updraft rotation in this storm was rather short lived (~25 min), causing some initial doubt as to whether this indeed was a supercell. However, retrieved 3D winds from dual-Doppler radar scans were used to document a high spatial correspondence between midlevel vertical velocity and vertical vorticity in this storm, thus providing evidence to support the supercell categorization. Additional data collected within the RELAMPAGO domain revealed other storms with this behavior, which appears to be attributable in part to effects of the local terrain. Specifically, the IOP4 supercell and other short-duration supercell cases presented had storm motions that were nearly perpendicular to the long axis of the Sierras de Córdoba Mountains; a long-duration supercell case, on the other hand, had a storm motion nearly parallel to these mountains. Sounding observations as well as model simulations indicate that a mountain-perpendicular storm motion results in a relatively short storm residence time within the narrow zone of terrain-enhanced vertical wind shear. Such a motion and short residence time would limit the upward tilting, by the left-moving supercell updraft, of the storm-relative, antistreamwise horizontal vorticity associated with anabatic flow near complex terrain. 

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