Results 151 to 160 of about 17,724 (252)

Intraday Functional PCA Forecasting of Cryptocurrency Returns

open access: yesJournal of Forecasting, Volume 45, Issue 5, Page 2186-2212, August 2026.
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley   +1 more source

MIF‐MAPMS: Enhancing identification of myelin autoantigenic peptides in multiple sclerosis through multimodal information fusion

open access: yesProtein Science, Volume 35, Issue 8, August 2026.
Abstract Multiple sclerosis (MS) arises from an autoimmune response in which the immune system erroneously targets myelin autoantigens within the central nervous system, leading to myelin degradation and subsequent neurological dysfunction. Identifying myelin autoantigenic peptides (MAPs) is therefore critical for understanding MS pathogenesis and ...
Watshara Shoombuatong   +4 more
wiley   +1 more source

Extending Field Limits in Nanoscale Magnetic Imaging With Metamaterial‐Inspired Magnetic Flux Concentrators

open access: yesSmall, Volume 22, Issue 43, 3 August 2026.
Micrometer‐sized flower‐shaped metamaterial magnetic flux concentrators are fabricated directly around nano and micromagnetic samples, enabling local field enhancement. Integrated into magnetic sensitive photoemission electron microscopy, they extend the available magnetic field range by up to a factor of five.
Aleix Barrera   +16 more
wiley   +1 more source

Seismic Insights Into the Role of Rockfall in Rockslide Destruction Processes

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract The dynamic link between rockslide failure and rockfall activity remains elusive, primarily due to the challenge of detecting weak signals amidst high noise. We propose a seismic attribute guided deep learning framework that formulates rockfall detection as a time‐series segmentation task, facilitating the precise extraction of rockfall events
Yaojun Wang   +4 more
wiley   +1 more source

TITAN‐LSTM: A Weather Radar Nowcasting Tool

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Precipitation nowcasting is essential for a wide range of meteorological and hydrological applications, and weather radar plays a central role in this task. Extrapolation algorithms such as TITAN (Thunderstorm Identification, Tracking, Analysis and Nowcasting) provide efficient storm tracking but do not directly use rainfall rate fields, while
Andrea S. Viteri López   +1 more
wiley   +1 more source

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