Solar Wind Speed Prediction With Two‐Dimensional Attention Mechanism by Yanru Sun, Zongxia Xie, Yanhong Chen, Xin Huang, Qinghua Hu

“…Solar wind speed prediction is improved by making full use of OMNI data measured at Lagrangian Point 1 (L1) by the National Aeronautics and Space Administration (NASA) and image data observed by the Solar Dynamics Observatory (SDO) satellite in this work. …”
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Solar Wind Prediction Using Deep Learning by Vishal Upendran, Mark C. M. Cheung, Shravan Hanasoge, Ganapathy Krishnamurthi

“…We use extreme ultraviolet images of the solar corona from space‐based observations to predict the SW speed from the National Aeronautics and Space Administration (NASA) OMNIWEB data set, measured at Lagragian Point 1. …”
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A Novel Federated & Ensembled Learning-Based Battery State-of-Health Estimation for Connected Electric Vehicles by Praveen Abbaraju, Subrata Kumar Kundu

“…The effectiveness of the proposed FEL algorithm has been evaluated using NASA battery dataset, showing significant improvement in SoH estimations with a mean average error of 3.24% after 30 iterations. …”
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Association of structured continuum emission with dynamic aurora by E. Spanswick, J. Liang, J. Houghton, D. Chaddock, E. Donovan, B. Gallardo-Lacourt, C. Keenan, J. Rosehart, Y. Nishimura, D. Hampton, M. Gillies

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Lithium-Ion Battery State of Health Degradation Prediction Using Deep Learning Approaches by Talal Alharbi, Muhammad Umair, Abdulelah Alharbi

“…., federated learning) approaches for SoH prediction. The NASA battery dataset, containing charging and discharging cycles, is used for model training and evaluation. …”
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Detection of a Magnetic Discontinuity in the Upper Solar Chromosphere Associated with a Coronal Loop Brightening Observed by CLASP2.1 by Donguk Song, Ryohko Ishikawa, David E. McKenzie, Javier Trujillo Bueno, Frédéric Auchère, Ryouhei Kano, Amy Winebarger, Takenori J. Okamoto, Laurel A. Rachmeler, Ken Kobayashi, Genevieve D. Vigil, Adam R. Kobelski, Christian Bethge, Eun-Kyung Lim, Luca Belluzzi, Ernest Alsina Ballester, Tanausú del Pino Alemán, Jiří Štěpán

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The Solar and Geomagnetic Storms in 2024 May: A Flash Data Report by Hisashi Hayakawa, Yusuke Ebihara, Alexander Mishev, Sergey Koldobskiy, Kanya Kusano, Sabrina Bechet, Seiji Yashiro, Kazumasa Iwai, Atsuki Shinbori, Kalevi Mursula, Fusa Miyake, Daikou Shiota, Marcos V. D. Silveira, Robert Stuart, Denny M. Oliveira, Sachiko Akiyama, Kouji Ohnishi, Vincent Ledvina, Yoshizumi Miyoshi

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Enhancing prediction of wildfire occurrence and behavior in Alaska using spatio-temporal clustering and ensemble machine learning by A. Ahajjam, M. Allgaier, R. Chance, E. Chukwuemeka, J. Putkonen, T. Pasch

“…This study addresses the challenge of wildfire occurrence and behavior prediction in Alaska by developing a comprehensive framework that leverages satellite-based data, geospatial features, advanced optimization, and machine learning (ML). First, NASA’s Fire Information for Resource Management System (FIRMS) dataset spanning +20 years is processed using a spatio-temporal clustering algorithm to create refined wildfire datasets. …”
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Evaluation of 2015 Vegetation Fire Activity Distribution in Peninsular Malaysia using Integrated Satellite and Land Activity Data by Teoh Hwai Leng, Ooi Maggie Chel Gee, Talib Latif Mohd, Lin Neng-Huei, Mohd Nadzir Mohd Shahrul, Badulrudin Mohd Fahmi

“…Although satellites like NOAA’s GOES16 and NASA’s MODIS are used for fire detection, data coverage and capture frequencies create uncertainties. …”
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Laboratory formation of micro-penitentes at temperatures and pressures relevant to Earth and other worlds by Daniel Floyd Berisford, Jeffrey Tyler Foster, Jacob Kosberg, Benjamin Furst, Michael Joseph Poston, Takuro Daimaru, Maggie Lang, Lavina Backman, Kevin Peter Hand

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Using Gradient Boosting Regression to Improve Ambient Solar Wind Model Predictions by R. L. Bailey, M. A. Reiss, C. N. Arge, C. Möstl, C. J. Henney, M. J. Owens, U. V. Amerstorfer, T. Amerstorfer, A. J. Weiss, J. Hinterreiter

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Calibration of the Falcon Solid‐state Energetic Electron Detector (SEED) by R. Cress, C. A. Maldonado, M. Coulter, K. Haak, R. L. Balthazor, M. G. McHarg, D. Barton, K. Greene, C. D. Lindstrom

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Radar Characterization of Salt Layers in Europa's Ice Shell as a Window Into Critical Ice‐Ocean Exchange Processes by N. S. Wolfenbarger, D. D. Blankenship, D. A. Young, K. M. Scanlan, C. J. Chivers, D. Findlay, G. B. Steinbrügge, K. Chan, C. Grima, K. M. Soderlund, D. M. Schroeder

“…Abstract The potential habitability of Jupiter's moon Europa has motivated two missions: NASA's Europa Clipper and ESA's JUpiter ICy moons Explorer (JUICE). …”
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Thermosphere‐Ionosphere Modeling With Forecastable Inputs: Case Study of the June 2012 High‐Speed Stream Geomagnetic Storm by Xing Meng, Anthony J. Mannucci, Olga P. Verkhoglyadova, Bruce T. Tsurutani, Aaron J. Ridley, Ja‐Soon Shim

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AtOMICS: a deep learning-based automated optomechanical intelligent coupling system for testing and characterization of silicon photonics chiplets by Jaime Gonzalo Flor Flores, Jim Solomon, Connor Nasseraddin, Talha Yerebakan, Andrey B Matsko, Chee Wei Wong

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A Laboratory Study of Plasma Charging Inside Lava Tubes on the Lunar Surface by S. Gopalakrishnan, X. Wang, M. Horányi

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A Novel Ensemble Classifier Selection Method for Software Defect Prediction by Xin Dong, Jie Wang, Yan Liang

“…The DFD model achieves superior performance on eight public NASA and PROMISE datasets (six of which are imbalanced) across five performance indicators, including area under the curve (AUC), geometric mean (G-Mean), F1 score, Matthews correlation coefficient (MCC), and Balance. …”
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Hybrid Henry Gas-Harris Hawks Comprehensive-Opposition Algorithm for Task Scheduling in Cloud Computing by Nora Omran Alkaam, Abu Bakar Md Sultan, Masnida B. Hussin, Khaironi Yatim Sharif

“…The suggested technique was tested using CloudSim on the NASA, HPC2N, and Synthetic datasets. For makespan (MKS), it achieved performance of 34.30, 72.95, and 28.67, respectively. …”
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An overview of the transboundary dust events in southeastern Turkmenistan near the border of Iran (Sarakhs-Badkhyz region) by Mohammad Reza Mansouri Daneshvar, Seyed Javad Rasouli, Aliasghar Dehqanpour Aliaqa

“…., IRIMO, Eumetsat, and NASA). A drastic temperature increase triggers evaporation and also dryness of the sandy deserts in southeastern Turkmenistan. …”
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A Mixed Reality–Based Telesupervised Ultrasound Education Platform on 5G Network Compared to Direct Supervision: Prospective Randomized Pilot Trial by Minha Kim, Meong Hi Son, Suhyeon Moon, Won Chul Cha, Ik Joon Jo, Hee Yoon

“…Primary outcomes were image quality scores, while secondary outcomes included procedure time, number of supervisor interventions, user experience using National Aeronautics and Space Administration-Task Load Index (NASA-TLX), System Usability Scale (SUS), and self-confidence through pre- and postsurveys. …”
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