SVM Based Event Detection and Identification: Exploiting Temporal Attribute Correlations Using SensGru

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Intrinsic neutron noise experiments offer a non-invasive manner to measure the prompt decay constant or reactivity of fissile systems. Using the fluctuations in the density of fission chains, one can infer the kinetics parameters via correlation analysis s ...

A detailed theoretical and experimental study on the effect of the superposition of uncorrelated speckle patterns with polarization diversity on the spatial statistics of the superposed speckle pattern is presented. It is shown that depending on the mutual ...

DC microgrids often present a hierarchical control architecture, requiring integration of communication layers. This leads to the possibility of malicious attackers disrupting the overall system. Motivated by this application, in this article, we present a ...

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Machine-learning of atomic-scale properties amounts to extracting correlations between structure, composition and the quantity that one wants to predict. Representing the input structure in a way that best reflects such correlations makes it possible to im ...

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In recent years time series data has become ubiquitous thanks to affordable sensors and advances in embedded technology. Large amount of time-series data are continuously produced in a wide spectrum of applications, such as sensor networks, medical monitor ...

SVM Based Event Detection and Identification: Exploiting Temporal Attribute Correlations Using SensGru

Chattez avec Graph Search

Federated learning with uncertainty-based client clustering for fleet-wide fault diagnosis

Saliency prediction in 360° architectural scenes: Performance and impact of daylight variations

Correlation properties of a one-dimensional repulsive Bose gas at finite temperature

Deep excavation of the impact from endogenous and exogenous uncertainties on long-term energy planning

Geographic footprints of life expectancy inequalities in the state of Geneva, Switzerland

Using footstep-induced vibrations for occupant detection and recognition in buildings

Towards the Validation of Noise Experiments in the CROCUS Reactor Using the TRIPOLI-4 Monte Carlo Code in Analog Mode

Spatial statistics of superposition of two uncorrelated speckle patterns with polarization diversity

A Distributed Cyber-Attack Detection Scheme With Application to DC Microgrids

Occupancy detection and tracking in buildings using floor-vibration signals

Sentiment Classification of Tweets using Hierarchical Classification

A new spatial count data model with Bayesian additive regression trees for accident hot spot identification

Scaling Precipitation Input to Spatially Distributed Hydrological Models by Measured Snow Distribution

Concrete Dam Displacement Prediction Based on an ISODATA-GMM Clustering and Random Coefficient Model

A Sub-μW/Channel, 16-Channel Seizure Detection and Signal Acquisition SoC Based on Multichannel Compressive Sensing

Feature optimization for atomistic machine learning yields a data-driven construction of the periodic table of the elements

Theoretical analysis of errors when estimating snow distribution through point measurements

An evaluation of surface micro- and mesoplastic pollution in pelagic ecosystems of the Western Mediterranean Sea

Interspike interval correlation in a stochastic exponential integrate-and-fire model with subthreshold and spike-triggered adaptation

Distributed Time Series Analytics