Results 161 to 170 of about 9,227 (217)

Enhanced forecasting of friction and cohesion of augmented unsaturated soil with nanostructured quarry fines (NQF) addition. [PDF]

Sci Rep
Kamchoom V, Van DB, Hosseini S, Alimoradijazi M, Amini-Khoshalan H, Mirzaghorbanali A, Shokri BJ, Arunachalam KP.   +7 more
europepmc   +1 more source

Artificial Intelligence, Optimization, and Modeling Techniques in Water Resources Management: Challenges and Future Directions

Water Environment Research, Volume 98, Issue 6, June 2026.
This study presents an integrated framework linking six foundational elements of water resources management: watershed modeling, surrogate modeling, optimization, artificial intelligence, decision support systems, and monitoring. The synthesis highlights how connecting these traditionally separate domains fosters smarter, adaptive, and data‐driven ...
Hoda S. Razavi, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Gregorio Toscano, Timothy Harrigan, Lewis Linker   +5 more
wiley   +1 more source

Fault Detection and Isolation of MEMS IMU Array Based on WOA-MVMD-GLT. [PDF]

Micromachines (Basel)
Li H, Sun F, Tian J, He X, Zhu T.
europepmc   +1 more source

On the Foundational Arguments of Sufficient Dimension Reduction

WIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Contemporary Sufficient Dimension Reduction, a versatile method for extracting material information from data, can serve as a preprocessor for classical modeling and inference, or as a standalone theory that leads directly to statistical inference. ABSTRACT Sufficient dimension reduction (SDR) refers to supervised methods of dimension reduction that ...
R. Dennis Cook
wiley   +1 more source

Best Practices for Developing Linear Models With Multiple Explanatory Variables. [PDF]

Adv Genet (Hoboken)
Li B, Li X.
europepmc   +1 more source

Covariance Estimation for Wide Data

WIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Covariance matrix estimation is fundamental to multivariate analysis, with applications spanning finance, genomics, climate science, and signal processing. This review synthesizes recent advances in high‐dimensional covariance estimation‐thresholding, linear and nonlinear shrinkage, graphical models, and random matrix theory‐under a unifying framework ...
Eran Raviv
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

Distribution‐Guided Ensemble Postprocessing for S2S Precipitation Forecasts: A Seamless Pathway Using Deep Generative Models

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Atmosphere‐ocean‐land coupled forecasting systems, despite their comprehensiveness, face substantial challenges in the “predictability desert” at subseasonal to seasonal (S2S) timescales, particularly for precipitation—a variable crucial for socioeconomic activities yet of stunning spatiotemporal variance. Post‐processing methods developed for
Wen Shi, Baoxiang Pan, Jianbin Huang, Tingfeng Dou, Jie Feng, Huihui Yuan, Anran Wang, Xin Xia, Lei Huang, Yong Luo   +9 more
wiley   +1 more source

Serum anti-Müllerian hormone and ovarian stimulation parameters in women with polycystic ovary syndrome undergoing assisted reproductive technology: A cross-sectional study. [PDF]

Int J Reprod Biomed
Hosseini S, Salehpour S, Amiresmaili N, Meshkat M, Karimi F.   +4 more
europepmc   +1 more source