Results 131 to 140 of about 57,062 (333)
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
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]
Xiaochen Lu +4 more
openalex +1 more source
Surface Flashover in 50 Years: III. Extreme Environments and Industrial Challenges
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
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]
Philip Sellars +2 more
openalex +1 more source
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
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
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
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

