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Remote sensing of environment research has explored the benefits of using synthetic aperture radar imagery systems for a wide range of land and marine applications since these systems are not affected by weather conditions and therefore are operable both daytime and nighttime. The design of image processing techniques for  synthetic aperture radar applications requires tests and validation on real and synthetic images. The GRSS benchmark database supports the desing and analysis of algorithms to deal with SAR and PolSAR data.

Last Updated On: 
Tue, 02/08/2022 - 17:46
Citation Author(s): 
Nobre, R. H.; Rodrigues, F. A. A.; Rosa, R.; Medeiros, F.N.; Feitosa, R., Estevão, A.A., Barros, A.S.

The distributed generation, along with the deregulation of the Smart Grid, have created a great concern on Power Quality (PQ), as it has a direct impact on utilities and customers, as well as effects on the sinusoidal signal of the power line. The a priori unknown features of the distributed energy resources (DER) introduce non-linear behaviours in loads associated to a variety of PQ disturbances.

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A crucial requirement for effective human-AI teaming is the ability to form mutually compatible mental models that help humans discern when the AI can be relied upon and how to best complement each other. To understand the impact of having this mutual understanding, we conducted an experiment where participants (N=125), tasked as disaster relief planners, were assisted by an AI agent that recommends optimal allocation of a resource based on several information sources. The interaction effects of mental models between the human and the AI were studied.

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63 Views

Electrical Impedance Tomography system measures change in path conductivity of a cross section of ROI. ROI is created by surrounding a cross-section by metal electrodes. These inject microlevel charges into ROI and attenuation due to ROI material is reconstructed. 

X-ray CT is a well known non destructive imaging technology used primarily in medical applications. However, industrial CT are used for industrial applciations. 

Computational Fluid dynamics assist flow simulation of fluid channels. 

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This dataset comprises Bloomberg Terminal data from 2017 to 2021, detailing environmental footprints, disclosure practices, risk profiles, and ESG fund commitments of Fortune 500 companies. The data captures various dimensions of environmental, social, and governance (ESG) performance, providing a comprehensive view of corporate sustainability trends. It includes quantitative indicators and qualitative scores for companies' ESG strategies, enabling researchers to analyze ESG practices and trends over time.

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The main contribution of this paper is the design of a novel finite time control able to track a reference under the presence of external matched and unmatched disturbances with unknown upper-bounds. The systems under study are nominally linear. The Electronic Throttle Control (ETC) system is a drive-by-wire system in which the direct mechanical linkages between the accelerator pedal and the throttle valve are replaced by sensors and
actuators pairs.

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6 Views

Benchmark code, HPC runtime logs, and analysis for the "AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase" Paper.

 

 

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This dataset package includes four datasets, of which Dataset 1 is Mackey-Glass chaotic time series and Dataset 2 is monthly sunspot numbers data. Both Dataset 1 and Dataset 2 are datasets with periodic characteristics. Dataset 3 is daily foreign exchange rates and Dataset 4 is daily gold price. Both Dataset 3 and Dataset 4 are financial data.

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31 Views

The data set is based on the elevation mapping of HI-TARGET's iHand55 device and the processing of existing pipeline information.The data is mainly used for pipeline drainage or urban drainage planning and design test.This data is the drainage system data of a city, including drainage points and drainage pipeline information.

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20 Views

As quantum computing advances, there is a growing need for sophisticated computational methods that efficiently leverage quantum resources. This paper investigates the integration of adaptive quantum circuits with the Variational Quantum Eigensolver (VQE) algorithm, proposing Adaptive VQE as an enhanced approach for dynamically constructing quantum ansätze.

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