An Adapter and Segmentation Network-Based Approach for Automated Atmospheric Front Detection by Xinya Ding, Xuan Peng, Yanguang Xue, Liang Zhang, Tianying Wang, Yunpeng Zhang

“…This study presents AD-MRCNN, an advanced deep learning framework for automated atmospheric front detection that addresses two critical limitations in existing methods. …”
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Monitoring the production of FRP composites: A review of in-line sensing methods by S. Konstantopoulos, E. Fauster, R. Schledjewski

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South China Sea SST Fronts, 2015–2022 by Igor M. Belkin, Yi-Tao Zang

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A global daily mesoscale front dataset from satellite observations: in situ validation and cross-dataset comparison by Q. Xing, H. Yu, W. Yu, W. Yu, W. Yu, W. Yu, X. Chen, X. Chen, X. Chen, X. Chen, H. Wang, H. Wang, H. Wang

“…The development of front detection algorithms has enabled the automatic extraction of frontal information from satellite observations, providing valuable tools for understanding the biophysical interactions within marine ecosystems. …”
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Intelligent Detection of Oceanic Front in Offshore China Using EEFD-Net with Remote Sensing Data by Ruijie Kong, Ze Liu, Yifei Wu, Yong Fang, Yuan Kong

“…These fronts are identified in research on intelligent oceanic front detection primarily by their significant temperature gradients. …”
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Environments and lifting mechanisms of cold-frontal convective cells during the warm season in Germany by G. Pacey, G. Pacey, S. Pfahl, L. Schielicke

“…By combining automatic front detection methods and a convective-cell tracking and detection dataset, the environments and availability of different lifting mechanisms are analysed. …”
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Machine Learning for Fire Safety in the Built Environment: A Bibliometric Insight into Research Trends and Key Methods by Mehmet Akif Yıldız

“…As a result, detailed literature was presented to define the academic publication profile of the research area, determine research fronts, detect emerging trends, and reveal sub-themes.…”
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Impact of weather systems on observed precipitation at Ny-Ålesund (Svalbard) by K. Ebell, C. Buhren, R. Gierens, G. Chellini, G. Chellini, M. Lauer, M. Lauer, A. Walbröl, S. Dahlke, P. Krobot, M. Mech

“…., atmospheric rivers (ARs), cyclones and fronts, detected from ERA5 reanalysis data. ARs occurred only 8 % of the time at Ny-Ålesund but contributed to about 42 % of the total precipitation amount with a high liquid mass fraction (72 %). …”
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