Results 61 to 70 of about 12,752 (151)
ABSTRACT We study the nexus between political geography and stock market volatility by examining the interrelation between political geography and the predictive relation between the state‐ and aggregate‐level stock market volatility via recently constructed measures of political alignment.
Oguzhan Cepni +3 more
wiley +1 more source
The Soil Moisture Active–Passive (SMAP) mission has greatly contributed to the use of remote sensing technologies for monitoring the Earth’s land surface and estimating geophysical parameters that influence the climate system.
Johanna Garcia-Cardona +4 more
doaj +1 more source
Topology identification and signal inference are cornerstone tasks in graph signal processing (GSP). Structural Equation Modeling (SEM) is particularly effective for network inference as it explicitly captures causal dependencies.
Jie Zhou +3 more
doaj +1 more source
An FDA-MIMO radar 2-D parameter estimation algorithm based on graph signal processing
To improve the range-angle estimation accuracy of frequency diverse array multiple Input multiple output (FDA-MIMO) radar at low SNR, this letter proposes a joint estimation algorithm of FDA-MIMO radar target range-angle based on graph signal processing (
Haijun Wang +4 more
semanticscholar +1 more source
Nonintrusive load disaggregation by fusion of graph signal processing and CNN
Nonintrusive load disaggregation techniques play a pivotal role in power system planning and decision making for demand response. The sparsity of low frequency total power data features, coupled with the model’s challenge in effectively extracting and ...
Zhigang Chen, Haotian Peng, Yongxin Su
semanticscholar +1 more source
Anomalous Sound Detection For Road Surveillance Based On Graph Signal Processing
Recently, Anomalous Sound Detection (ASD) has emerged as a promising method for road surveillance. However, since the ratio of anomalous events is generally too small, anomaly detection in general, and ASD in particular, are mainly treated as one-class ...
Zied Mnasri +2 more
semanticscholar +1 more source
Time-varying graph learning from smooth and stationary graph signals with hidden nodes
Learning graph structure from observed signals over graph is a crucial task in many graph signal processing (GSP) applications. Existing approaches focus on inferring static graph, typically assuming that all nodes are available.
Rong Ye +5 more
doaj +1 more source
Spectral Properties of Complex Distributed Intelligence Systems Coupled with an Environment. [PDF]
Alodjants AP +3 more
europepmc +1 more source
An Intelligent Multi-Task Supply Chain Model Based on Bio-Inspired Networks. [PDF]
Khaleghi M +3 more
europepmc +1 more source
Comparing and scaling fMRI features for brain-behavior prediction. [PDF]
Sieler MS +3 more
europepmc +1 more source

