Results 101 to 110 of about 24,705,727 (296)
This review looks at the different experimental techniques that measure spatiotemporal charge carrier dynamics. This information is viewed in the context of particulate photocatalysts, outlining the insights these techniques provide and how they advance our understanding.
Sutripto Khasnabis, Robert Godin
wiley +1 more source
Semantics-guided spatial data generation for complex large-scale indoor map from 3D colorized point clouds [PDF]
With the popularization of the concept of smart cities and the development of indoor positioning and navigation services, as well as the increasing complexity of building structures with the continuous advancement of urbanization, automatic mapping of ...
Z. Wang, X. Wang, J. Yang, T. Li
doaj +1 more source
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
Spatio-temporal statistical methods in environmental and biometrical problems [PDF]
This is the editorial letter for the Special Issue dedicated to the VIII International Workshop on Spatio-temporal Modelling (METMAVIII) which took place in Valencia (Spain) from 1 to 3 June 2016, and to the second Galician-Portuguese meeting of Biometry,
Crujeiras Casais, Rosa María +9 more
core +1 more source
FluoAI is a two‐stage, label‐free method for quantifying nanomaterial‐induced cytotoxicity from conventional fluorescence microscopy images. Mask R‐CNN segmentation and DenseNet‐121 classification provide rapid live/dead classification matching human accuracy.
Ugur C. Topkiran +6 more
wiley +1 more source
A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy. [PDF]
Ahuja R +3 more
europepmc +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
Forecasting the spatio-temporal evolutions of cellular traffic is crucial for urban management. However, achieving accurate forecasting is challenging due to “complex correlation modeling” and “model-blindness” issues.
Keyi An +6 more
doaj +1 more source
Spatio-temporal data prediction of multiple air pollutants in multi-cities based on 4D digraph convolutional neural network. [PDF]
Wang L +10 more
europepmc +1 more source

