Results 121 to 130 of about 13,846 (260)
ABSTRACT Accurate load forecasting and reliable anomaly detection are critical for the stable operation of modern smart grids (SGs), which increasingly rely on cyber‐connected infrastructures. However, the integration of smart metres and two‐way communication exposes SGs to data integrity attacks that can manipulate consumption measurements, degrade ...
Murad Ali Khan +4 more
wiley +1 more source
ABSTRACT Brain tumour classification is a critical task in medical imaging that requires accurate and interpretable solutions to assist in clinical decision‐making. In this paper, we present GraphConvNet‐X, a novel hybrid model that integrates convolutional neural networks (CNNs) for spatial feature extraction with graph neural networks (GNNs) that ...
Sultanul Arifeen Hamim +4 more
wiley +1 more source
Read the free Plain Language Summary for this article on the Journal blog. Abstract Energy is fundamental for life and accurately predicting animals' energy expenditure under changing environments is central to ecology and global change biology. Energy expenditure in free‐living animals can be directly quantified using the doubly labelled water (DLW ...
Shannon R. Conradie +7 more
wiley +1 more source
STELLAR-CB: Synthetic Temporal LSTM for Livestock Activity Recognition-Cow Behaviour. [PDF]
Ahmed G +9 more
europepmc +1 more source
Belowground effects of ground‐dwelling large herbivores in forest ecosystems
This study reviews how ground‐dwelling large herbivores affect forest soil and litter globally. Effects are context‐dependent, vary among species and forest types, and remain poorly studied in tropical forests, highlighting critical gaps in understanding nutrient cycling and ecosystem functioning.
Letícia Gonçalves Ribeiro +4 more
wiley +1 more source
Explainable and interpretable models for predicting early-onset hypertension in the Tlalpan 2020 cohort. [PDF]
Gutiérrez-Esparza G +4 more
europepmc +1 more source
ABSTRACT Recent climate phenomena show that Spain is one of the most vulnerable countries to climate change impacts, with varied regional effects from flash floods to drought. This study assesses the vulnerability of four major crops (cereal, rice, grape and olive) in Catalonia to climate change through a comprehensive vulnerability index incorporating
Mahdieh Khezri‐nejad‐gharaei +3 more
wiley +1 more source
Glioma identification from microRNA biomarkers using machine learning. [PDF]
Andugala RK +3 more
europepmc +1 more source
ABSTRACT Family financial assistance with home ownership has attracted significant scholarly attention in recent years. However, the role of culture and ethnicity, transnational ties, and migration in this practice remains significantly under‐addressed.
Julia Cook
wiley +1 more source
Exploratory machine learning analysis to characterize angioscopic features associated with atherosclerosis-related aortic dissection: an exploratory single-center angioscopic study. [PDF]
Takahashi S +8 more
europepmc +1 more source

