Results 101 to 110 of about 1,249,287 (318)
BICAR: A New Algorithm for Multiresolution Spatiotemporal Data Fusion
We introduce a method for spatiotemporal data fusion and demonstrate its performance on three constructed data sets: one entirely simulated, one with temporal speech signals and simulated spatial images, and another with recorded music time series and astronomical images defining the spatial patterns.
Kevin S Brown +2 more
openaire +4 more sources
Metabolic labeling of nascent proteins in 3D microtissue spheroids provides a powerful analytical approach for large‐scale tissue engineering. Incorporation of non‐canonical amino acids with fluorescent tagging enables spatiotemporal investigation of extracellular matrix deposition and its evolution during multicellular tissue development and fusion ...
Theresa Koenig +3 more
wiley +1 more source
In response to the problem of missing traffic flow data on highways, to solve the problem of insufficient mining of traffic flow characteristics using existing spatiotemporal correlation repair methods, a missing data repair method based on ...
Zhang Yaofang, Chen Jian, Fu Zhiyan
doaj +1 more source
Accurate mapping of tree species is critical for the sustainable development of the forestry industry. However, the lack of cloud-free optical images makes it challenging to map tree species accurately in cloudy mountainous regions.
Shengbo Chen +5 more
core +1 more source
Microgel‐based 3D printed constructs represent a compelling and versatile innovation for engineering architecturally complex, dynamically remodelable, and biocompatible structures with high structural fidelity and bioactivity. By integrating material design, biofabrication, and biological function, these systems enable the development of adaptive ...
Elena Ghighină +2 more
wiley +1 more source
Time-Series-Based Spatiotemporal Fusion Network for Improving Crop Type Mapping
Crop mapping is vital in ensuring food production security and informing governmental decision-making. The satellite-normalized difference vegetation index (NDVI) obtained during periods of vigorous crop growth is important for crop species ...
Wenfang Zhan +7 more
semanticscholar +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Soil salinization poses critical threats to agricultural sustainability in arid regions, while traditional monitoring approaches lack efficiency and single remote sensing platforms encounter inherent spatiotemporal resolution trade-offs.
Jiangtao Li +6 more
doaj +1 more source
Spatiotemporal Fusion Algorithm Based on Multikernal Adaptive Network
Spatiotemporal fusion (STF) technology is an effective means to address the challenge of balancing temporal and spatial resolutions for single satellite sensors. Remote sensing imagery exhibits substantial scale variations in different ground objects. However, existing CNN-based models employ a fixed receptive field during feature extraction, leading ...
Qiuhui Wang +3 more
openaire +2 more sources
Spatiotemporal Model Fusion: Multiscale Modelling of Civil Unrest
SummaryCivil unrest is a complicated, multifaceted social phenomenon that is difficult to forecast. Relevant data for predicting future protests consist of a massive set of heterogeneous sources of data, primarily from social media. Using a modular approach to extract pertinent information from disparate sources of data, we develop a spatiotemporal ...
Hoegh, Andrew +2 more
openaire +2 more sources

