Results 171 to 180 of about 276,034 (269)
Hybrid deep learning model for autism spectrum disorder diagnosis. [PDF]
Aarthi D, Kannimuthu S.
europepmc +1 more source
Abstract Bird seasonal migration is a remarkable biogeographic phenomenon, yet its deep‐time origin(s) and evolutionary history remain poorly understood, with the bird fossil record largely overlooked. This study explores the predictability of bird migratory behaviour from the oxygen isotope composition of their bone apatite phosphate (δ18Op), a ...
Anaïs Duhamel +7 more
wiley +1 more source
Forecasting Energy Demand in Quicklime Manufacturing: A Data-Driven Approach. [PDF]
Leon-Medina JX +8 more
europepmc +1 more source
Optimising Image Feature Extraction and Selection: A Comprehensive Review With Spark Case Studies
ABSTRACT As benchmark image datasets expand in sample size and feature complexity, the challenge of managing increased dimensionality becomes apparent. Contrary to the expectation that more features equate to enhanced information and improved outcomes, the curse of dimensionality often hampers performance.
J. Guzmán Figueira‐Domínguez +2 more
wiley +1 more source
Enhancing fault detection in new energy vehicles via novel ensemble approach. [PDF]
Akhtar I +7 more
europepmc +1 more source
ABSTRACT This research provides new directions in conceptualizing emotional geographies at the landscape level using a combination of textual deep learning (DL) and GPT‐based spatial emotion detection and interpolation using 3D empirical Bayesian kriging.
Christopher J. Anderson
wiley +1 more source
From prediction to sustainability: AI for smart energy management in wastewater treatment plants. [PDF]
Alsamhi SH +8 more
europepmc +1 more source
Omni Geometry Representation Learning Versus Large Language Models for Geospatial Entity Resolution
ABSTRACT The development, integration, and maintenance of geospatial databases rely heavily on efficient and accurate matching procedures of Geospatial Entity Resolution (ER). While resolution of points‐of‐interest (POIs) has been widely addressed, resolution of entities with diverse geometries has been largely overlooked.
Kalana Wijegunarathna +2 more
wiley +1 more source
The application of WUTP-CNN-GRU model in power prediction of desert and floating photovoltaic system. [PDF]
Jiang J, Su H, Du H, Yin H.
europepmc +1 more source
Abstract The planning and operation of renewable energy, especially wind power, depend crucially on accurate, timely, and high‐resolution weather information. Coarse‐grid global numerical weather forecasts are typically downscaled to meet these requirements, introducing challenges of scale inconsistency, process representation error, computation cost ...
Jingnan Wang +13 more
wiley +1 more source

