Results 141 to 150 of about 7,081 (248)

On the dielectric properties and normalized radar cross-section of crude oil-contaminated sea ice

open access: yes, 2017
This thesis explores the effects of crude oil spilled beneath young sea ice on the dielectric properties and normalized radar cross-section of the ice at microwave (C-band) frequencies. The dielectric profile, also referred to as the complex permittivity profile, of sea ice is a governing factor in how the ice scatters incident electromagnetic waves ...
openaire   +1 more source

High‐performance heat‐resistant tactile sensor for intelligent sensing and safe operation

open access: yesFlexMat, EarlyView.
Abstract Tactile sensing in high‐temperature environments remains a critical challenge for robotic systems operating in industrial manufacturing, food processing, and other high‐temperature assembly operations. Herein, we report a heat‐resistant flexible tactile sensor with comprehensive high performance, featuring a hierarchical architecture ...
Yugang Chen   +8 more
wiley   +1 more source

How Thunderstorms Are Changing in Mexico: Trends and Characteristics

open access: yesInternational Journal of Climatology, EarlyView.
Thunderstorm days in Mexico have increased significantly since 1992, with pronounced regional and seasonal contrasts. Increasing moisture emerges as the most spatially coherent environmental signal. At the same time, enhanced instability characterizes northeastern and central Mexico, revealing distinct regional controls on thunderstorm activity and ...
José Francisco León‐Cruz   +3 more
wiley   +1 more source

Robust Spectroscopic Analysis Through Image‐Based Spectral Representation and Deep Learning Techniques

open access: yesJournal of Raman Spectroscopy, EarlyView.
This study addresses calibration drift in Raman spectroscopy by transforming 1D spectra into 2D spider plot images processed by pretrained convolutional neural networks. This visualization strategy effectively converts detrimental spectral wavenumber shifts into simple image rotations, allowing the deep learning model to maintain high classification ...
Azadeh Mokari   +2 more
wiley   +1 more source

Revealing Dust Source Changes in East Asia From Past to Future: An Interpretable Deep Learning Approach

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Aeolian dust source areas are controlled by climate and human activities and are closely associated with land degradation, yet their long‐term evolution under global warming remains insufficiently quantified. An integrated framework that couples a U‐Net segmentation model with Shapley Additive Explanations (SHAP) was built to map and attribute
Yanyu Li   +5 more
wiley   +1 more source

Explainable, Uncertainty‐Aware Machine Learning for Maize Land Suitability and Climate Resilience in Lorestan Province, Western Iran

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Maize (Zea mays L.) is strategically important in Iran, yet its cultivation in the semi‐arid Zagros is constrained by limited and variable water, heat stress and heterogeneous soils, while conventional suitability assessments are deterministic, rarely validated spatially and provide no measure of confidence.
Ahad Madani, Narges Shafaei Bajestani
wiley   +1 more source

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