Results 51 to 60 of about 78,652 (284)

Two-Stream RNN/CNN for Action Recognition in 3D Videos

open access: yes, 2018
The recognition of actions from video sequences has many applications in health monitoring, assisted living, surveillance, and smart homes. Despite advances in sensing, in particular related to 3D video, the methodologies to process the data are still ...
Ali, Haider   +2 more
core   +1 more source

Pbx loss in cranial neural crest, unlike in epithelium, results in cleft palate only and a broader midface. [PDF]

open access: yes, 2018
Orofacial clefting represents the most common craniofacial birth defect. Cleft lip with or without cleft palate (CL/P) is genetically distinct from cleft palate only (CPO).
Berkes   +78 more
core   +1 more source

Function‐driven design of a surrogate interleukin‐2 receptor ligand

open access: yesFEBS Letters, EarlyView.
Interleukin (IL)‐2 signaling can be achieved and precisely fine‐tuned through the affinity, distance, and orientation of the heterodimeric receptors with their ligands. We designed a biased IL‐2 surrogate ligand that selectively promotes effector T and natural killer cell activation and differentiation. Interleukin (IL) receptors play a pivotal role in
Ziwei Tang   +9 more
wiley   +1 more source

The Spatially Seamless Spatiotemporal Fusion Model Based on Generative Adversarial Networks

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Spatiotemporal fusion is a method of fusing high spatial resolution low temporal resolution remote sensing images and low spatial resolution high temporal resolution in order to obtain high spatiotemporal resolution remote sensing images, which can ...
ChenYang Weng   +9 more
doaj   +1 more source

AF-SRNet: Quantitative Precipitation Forecasting Model Based on Attention Fusion Mechanism and Residual Spatiotemporal Feature Extraction

open access: yesRemote Sensing, 2022
Reliable quantitative precipitation forecasting is essential to society. At present, quantitative precipitation forecasting based on weather radar represents an urgently needed, yet rather challenging.
Liangchao Geng   +4 more
doaj   +1 more source

Pedestrian Trajectory Prediction with Structured Memory Hierarchies

open access: yes, 2018
This paper presents a novel framework for human trajectory prediction based on multimodal data (video and radar). Motivated by recent neuroscience discoveries, we propose incorporating a structured memory component in the human trajectory prediction ...
A Roy   +10 more
core   +1 more source

Efficient human motion capture data annotation via multi‐view spatiotemporal feature fusion [PDF]

open access: yesIET Signal Processing, 2018
The availability of large motion capture (mocap) data has sparked a great motivation for computer animation, and the task of automatically annotating complex mocap sequences plays an important role in the efficient motion analysis. To this end, this study presents an efficient human mocap data annotation approach by using multi‐view spatiotemporal ...
Xin Liu   +4 more
openaire   +1 more source

Time after time – circadian clocks through the lens of oscillator theory

open access: yesFEBS Letters, EarlyView.
Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo   +2 more
wiley   +1 more source

A road network traffic flow data imputation method based on the fusion of spatiotemporal features and adversarial networks

open access: yesSystems Science & Control Engineering
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

Reconstruction of High-Temporal- and High-Spatial-Resolution Reflectance Datasets Using Difference Construction and Bayesian Unmixing

open access: yesRemote Sensing, 2020
High-temporal- and high-spatial-resolution reflectance datasets play a vital role in monitoring dynamic changes at the Earth’s land surface. So far, many sensors have been designed with a trade-off between swath width and pixel size; thus, it is ...
Lei Yang   +4 more
doaj   +1 more source

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