Results 131 to 140 of about 57,062 (333)

Spectral Characteristics and Evolution Mechanism of Silicon Rubber Surface Discharge Under Thermal Ageing Condition

open access: yesHigh Voltage, EarlyView.
ABSTRACT Surface discharge is a typical fault type in electric power equipment. High temperature in long‐term operation can easily lead to ageing of materials, resulting in changes in surface characteristics and surface discharge faults. In this paper, a method of surface discharge identification of silicon rubber (SiR) based on spectral detection ...
Yanze Han   +6 more
wiley   +1 more source

Integrated Learning‐Based Ageing Assessment of Silicone Rubber

open access: yesHigh Voltage, EarlyView.
ABSTRACT The surface ageing of silicone rubber composite insulators, widely used in power systems, poses significant challenges. This study integrates Fourier transform infrared (FTIR) spectroscopy with machine learning to evaluate ageing states and explore underlying mechanisms under various environmental conditions.
Xinzhe Yu   +7 more
wiley   +1 more source

Hyperspectral Image Classification Based on Multilevel Joint Feature Extraction Network [PDF]

open access: gold, 2021
Xiaochen Lu   +4 more
openalex   +1 more source

Surface Flashover in 50 Years: III. Extreme Environments and Industrial Challenges

open access: yesHigh Voltage, EarlyView.
ABSTRACT Modern high‐voltage electrical equipment operates in complex environments where surface conditions are subjected to multifaceted influences from electric fields, thermal gradients, contaminants, irradiation and other extreme environmental factors.
Zhen Li   +6 more
wiley   +1 more source

Spectrally Segmented-Enhanced Neural Network for Precise Land Cover Object Classification in Hyperspectral Imagery

open access: yesRemote Sensing
The paradigm shift brought by deep learning in land cover object classification in hyperspectral images (HSIs) is undeniable, particularly in addressing the intricate 3D cube structure inherent in HSI data. Leveraging convolutional neural networks (CNNs),
Touhid Islam   +3 more
doaj   +1 more source

Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification [PDF]

open access: green, 2020
Philip Sellars   +2 more
openalex   +1 more source

Facilitating macrosystem biology with organismal‐scale airborne remote sensing: Challenges and opportunities

open access: yesFunctional Ecology, EarlyView.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Emergent ecosystem properties, such as population and trait distributions, biodiversity and energy and water fluxes, occur because of the dynamic interactions of individuals in their environment.
Sarah J. Graves   +8 more
wiley   +1 more source

Biodiversity research requires more motors in air, water and on land

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Human activities have accelerated species extinctions, driving rapid biodiversity decline. Simultaneously, advancements in Artificial Intelligence (AI) and autonomous systems offer transformative potential for biodiversity research. Uncrewed vehicles—drones (aerial systems) and other robots (ground and underwater platforms)—equipped with high ...
Man Qi   +8 more
wiley   +1 more source

RCTNet: Residual conv-attention transformer network for corn hyperspectral image classification

open access: yesFrontiers in Remote Sensing
Classifying corn varieties presents a significant challenge due to the high-dimensional characteristics of hyperspectral images and the complexity of feature extraction, which hinder progress in developing intelligent agriculture systems.
Yihan Li   +6 more
doaj   +1 more source

Soil wetting and drying processes influence stone artefact distribution in clay‐rich soils: A case study from Middle Gidley Island in Murujuga, northwest Western Australia

open access: yesArchaeometry, EarlyView.
Abstract Soils that contain swelling clay minerals (e.g., montmorillonite) expand and contract during wetting and drying, causing movement within the soil profile. This process, known as argilliturbation, can alter artefact distributions, destroy stratigraphy and complicate the interpretation of archaeological deposits.
Caroline Mather   +11 more
wiley   +1 more source

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