Results 111 to 120 of about 8,791 (180)

Machine Learning Based Prediction of Tropical Cyclone Rapid Intensification in the Western North Pacific: Importance of Data Augmentation and Loss Function

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract In this study, we developed a TabNet‐based machine learning model to predict tropical cyclone (TC) rapid intensification (RI) in the Western North Pacific. The most significant challenge in predicting RI is the severe class imbalance between rapid and non‐rapid intensification cases, typically 4.2:1 ratio based on 1977–2021 records.
Sanghyeok An, Jiwon Jeong, Seok‐Woo Son, Hyungjun Kim, Jee‐Hoon Jeong, Jin‐Ho Yoon   +5 more
wiley   +1 more source

Hardware Acceleration of Division-Free Quadrature-Based Square Rooting Approach for Near-Lossless Compression of Hyperspectral Images. [PDF]

Sensors (Basel)
Altamimi A, Ben Youssef B.
europepmc   +1 more source

The potential of Facebook advertising data for understanding flows of people from Ukraine to the European Union. [PDF]

EPJ Data Sci, 2022
Minora U, Bosco C, Iacus SM, Grubanov-Boskovic S, Sermi F, Spyratos S.   +5 more
europepmc   +1 more source

Application of Variational Autoencoder‐Based Clustering for Geophysical Fluid Circulations With Small Sample Size

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract The variational autoencoder (VAE), a deep generative model, can extract a good feature representation for clustering from complex data; however, the use of this algorithm in the geophysical fluid circulation has been limited. The sample size for a geophysical phenomenon is generally small because of a large dimensional size, especially for ...
Kunihiro Aoki, Hideyuki Nakano, Nariaki Hirose, Norihisa Usui, Kei Sakamoto, Takahiro Toyoda, Shogo Urakawa, Yuma Kawakami   +7 more
wiley   +1 more source

Natural Disasters as a Maternal Prenatal Stressor and Children's Neurodevelopment: A Systematic Review. [PDF]

Behav Sci (Basel)
Ünsel-Bolat G, Yıldırım S, Kılıçaslan F, Caparros-Gonzalez RA.   +3 more
europepmc   +1 more source

Maternal and Child Health Care Service Disruptions and Recovery in Mozambique After Cyclone Idai: An Uncontrolled Interrupted Time Series Analysis. [PDF]

Glob Health Sci Pract, 2022
Fernandes Q, Augusto O, Chicumbe S, Anselmi L, Wagenaar BH, Marlene R, Agostinho S, Gimbel S, Pfeiffer J, Inguane C, Uetela DM, Crocker J, Ramiro I, Matsinhe B, Tembe S, Carimo N, Gloyd S, Manhiça I, Tavede E, Felimone P, Sherr K.   +20 more
europepmc   +1 more source

Intelligent Shanghai Typhoon Model (ISTM): A Diffusion‐Based Downscaling Emulator From AIFS to Kilometer‐Scale Regional Reanalysis for Typhoon Forecasts

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Artificial‐intelligence weather prediction models have recently surpassed numerical models in large‐scale skill, but they still systematically underestimate typhoon intensity due to their reliance on coarse‐resolution training data from ERA5. To overcome this limitation, we constructed a bespoke 9‐km high‐resolution typhoon reanalysis (HiRes ...
Zeyi Niu, Wei Huang, Sirong Huang, Bo Qin, Mengqi Yang, Haofei Sun, Zhaoyang Huo, Haixia Xiao, Kairui Feng   +8 more
wiley   +1 more source

Copernicus Data Space Ecosystem establishes public cloud processing for earth observation data. [PDF]

Sci Data
D Kovács D, Musial J, Bojanowski J, Clarijs D, de la Mar J, Zlinszky A.   +5 more
europepmc   +1 more source

Deep Learning of Systematic Ocean Model Errors in a Coupled GCM From Data Assimilation Increments

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 4, April 2026.
Abstract We present a novel, data‐driven approach to predict systematic model errors in the ocean component of a coupled general circulation model leveraging deep learning and data assimilation. We examine the skill of the proposed scheme in learning systematic model errors, including their spatial patterns, variance, scales, and test its sensitivity ...
Tarun Verma, F. Lu, A. Adcroft, L. Zanna, A. Gnanadesikan   +4 more
wiley   +1 more source

FPGA architecture based on OpenCL for studying the acoustic backscattering by an immersed tube. [PDF]

Heliyon
Hadji M, Elhanaoui A, Skouri R, Agounad S.   +3 more
europepmc   +1 more source