Results 181 to 190 of about 6,991 (255)

MAUSAM: An Observations‐Focused Assessment of Global AI Weather Prediction Models During the South Asian Monsoon

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.
Abstract Past evaluation of artificial intelligence (AI) weather prediction has primarily relied on reanalyses, which can obscure important deficiencies due to prevailing biases in reanalyses themselves. Here, we present MAUSAM (Measuring AI Uncertainty during South Asian Monsoon), an evaluation of seven leading AI‐based prediction systems—FourCastNet,
Aman Gupta, Aditi Sheshadri, Dhruv Suri
wiley   +1 more source

SCD-CHAOS: dynamic S-box and chaotic hybrid adaptive image encryption using multi-map diffusion. [PDF]

Sci Rep
Yogi B, Majumdar R, Ghosh P, Sharma L, Roy S.   +4 more
europepmc   +1 more source

Are Modern Droughts Unprecedented?

AGU Advances, Volume 7, Issue 5, August 2026.
Abstract Global drought variability of past centuries remains poorly understood due to sparse instrumental records and limited paleoclimate reconstructions. Yet, quantifying long‐term forced and unforced variability is key for assessing the extremeness of modern (2000–2024) drought events.
Patricia Helpap, Stefan Brönnimann, Ralf Hand, Jörg Franke, Christoph C. Raible, Benjamin D. Stocker   +5 more
wiley   +1 more source

Sidelobe suppression for cosine-sum window functions via chaotic particle swarm optimization. [PDF]

Sci Rep
Dong Z, Chen Y.
europepmc   +1 more source

Seismic Constraints on Igneous Intrusions and Fluid/Gas Distribution in a Continental Back‐Arc System: Evidence From the Yaeyama Rift in the Southern Okinawa Trough

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 8, August 2026.
Abstract The geometry and distribution of igneous intrusions, which define melt source locations and record syn‐emplacement stress conditions, are essential for understanding tectonic and magmatic processes associated with crustal extension. However, in back‐arc settings along continental margins, structural constraints on these features remain poorly ...
Ryuta Arai, Ayanori Misawa, Makoto Otsubo, Masataka Kinoshita, Saki Ishino, Akane Yamamoto   +5 more
wiley   +1 more source

Dual-sensor coherence-driven adaptive denoising (WF-VMD-DDCDO) for underwater target detection. [PDF]

Sci Rep
Qiu H, Yang P, Huang C, Cao D, Zhang L, Han Y, Li S, Liu C, Ouyang J.   +8 more
europepmc   +1 more source

Seismic Characteristics of the Gas Hydrate System in the Mackenzie Trough of the Canadian Beaufort Sea, Arctic Ocean

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 8, August 2026.
Abstract We present a comprehensive seismic characterization of the gas hydrate system in the outer continental shelf of the Mackenzie Trough, Canadian Beaufort Sea, based on recently acquired multichannel seismic (MCS) data, P‐wave velocity modeling, and 3D thermal modeling. We identified high‐amplitude, reverse‐polarity Bottom‐Simulating Reflections (
Yeonjin Choi, Young Keun Jin, Michael Riedel, Jong Kuk Hong, Mathieu J. Duchesne, Sung‐Ryul Shin, Wookeen Chung, Seung‐Goo Kang   +7 more
wiley   +1 more source

Efficient next-generation reservoir computing: An analog in-memory implementation using memristor crossbar arrays. [PDF]

iScience
Lin Z, Wu X, Chen Z, Zhang J, Deng J, Feng Y.   +5 more
europepmc   +1 more source

CESAR: A Convolutional Echo State AutoencodeR for High‐Resolution Wind Forecasting

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract An accurate and timely assessment of wind speed and energy output allows an efficient planning and management of this resource on the power grid. Wind energy, especially at high resolution, calls for the development of nonlinear statistical models able to capture complex dependencies in space and time. This work introduces a Convolutional Echo
Matthew Bonas, Paolo Giani, Paola Crippa, Stefano Castruccio   +3 more
wiley   +1 more source

Establishing AI-driven evaluation standards and human-in-the-loop guidance for digital first aid education: a perspective. [PDF]

Front Public Health
Song Y, Luan X, Chen X.
europepmc   +1 more source