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
Calibration-Jitter: Augmentation of hyperspectral data for improved surgical scene segmentation. [PDF]
Roddan A +3 more
europepmc +1 more source
Leaf area index estimation model for UAV image hyperspectral data based on wavelength variable selection and machine learning methods. [PDF]
Zhang J +6 more
europepmc +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
Detection of asbestos-based cement rooftops in conflict-affected settings using EnMAP hyperspectral data: a research article. [PDF]
Shepherd JE +3 more
europepmc +1 more source
Early prediction of biomass in hybrid rye based on hyperspectral data surpasses genomic predictability in less-related breeding material. [PDF]
Galán RJ +7 more
europepmc +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
Identification of Gas Mixture Components with Multichannel Hierarchical Analysis of Time-Resolved Hyperspectral Data. [PDF]
Choi E +9 more
europepmc +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
Estimation Model for Maize Multi-Components Based on Hyperspectral Data. [PDF]
Xue H, Xu X, Meng X.
europepmc +1 more source

