Results 91 to 100 of about 24,288,003 (306)
Spatio-temporal distribution of SFTS cases in Jinan, 2018–2022.
Spatio-temporal distribution of SFTS cases in Jinan, 2018–2022.
Qingbin Lu (17696534) +5 more
core +1 more source
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels +4 more
wiley +1 more source
A Unified Spatio-Temporal Inference Network for Car-Sharing Serial Prediction
Car-sharing systems require accurate demand prediction to ensure efficient resource allocation and scheduling decisions. However, developing precise predictive models for vehicle demand remains a challenging problem due to the complex spatio-temporal ...
Nihad Brahimi +3 more
doaj +1 more source
Advancing Energy Materials by In Situ Atomic Scale Methods
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss +21 more
wiley +1 more source
Spatio-Temporal Analysis of Reverted Wikipedia Edits
Little is known about what causes anti-social behavior online. The paper at hand analyzes vandalism and damage in Wikipedia with regard to the time it is conducted and the country it originates from. First, we identify vandalism and damaging edits via ex post facto evidence by mining Wikipedia’s revert graph.
Johannes Kiesel +3 more
openaire +2 more sources
Nonstationary cross-covariance functions for multivariate spatio-temporal random fields
In multivariate spatio-temporal analysis, we are faced with the formidable challenge of specifying a valid spatio-temporal cross-covariance function, either directly or through the construction of processes.
Salvaña, Mary Lai O., Genton, Marc G.
core +1 more source
An large language model‐powered multimodal framework is developed for robotic endoscope control. It integrates speech recognition and real‐time instrument tracking, achieving 89.47% command accuracy with ~1s latency for natural human–robot interaction in minimally invasive surgery.
Yisen Huang +7 more
wiley +1 more source
Count-Based Trajectory Analysis Applied to Spatio-Temporal Larceny Incidence in Urban Environments
Larceny is considered a high-impact crime in Mexico City because of its effect on public perceptions of safety. Understanding its spatial and temporal dynamics is therefore important for designing effective public safety policies.
Rodrigo Lopez-Farias +2 more
doaj +1 more source
ViTAMIn‐O: Democratizing Computer Vision‐Based Machine Learning for Stem Cell Research
This study introduces a fully open generalist computer vision model for predicting the differentiation outcomes of stem cell‐based model systems, together with its code‐free deployment platform, ColabViTAMIn‐O. It is benchmarked against various architectures, datasets, and training protocols.
Ferhat Hamurcu +11 more
wiley +1 more source
Accurate prediction of invasive species diffusion is essential for effective management and ecological conservation. Existing spatio-temporal Cox process models face limitations due to the separability assumption, which fails to capture spatio-temporal ...
Yantao Zhang +5 more
doaj +1 more source

