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To Creation of Virtual Radio Observatory
The approach to the creation of the virtual radio observatory in Russia is described. The proposed system is based on the system operating in the...
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The Canadian Virtual Observatory Project
The Canadian Virtual Observatory (CVO) project is now funded at a level that places it among the major Virtual Observatory (VO) projects in the...
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The CCD Sky Patrols and Plate Archives
We report on the recent efforts to extract the data from the CCD and photographic sky patrol archives as well as to evaluate them and use for...
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Science Data Archives: Feedback Relations
SAO RAS archive consists from local archives that to receive observational data from diverse acquisition systems. To get access to observational data...
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Early Virtual Science: Some Lessons for the AVO
Experience with ASTROVIRTEL, scientific analysis of current large data sets, and detailed preparation for the truly huge future missions especially...
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PRIME: A Deep Near-Infrared Survey Project
PRIME is a proposed space mission for a deep survey of 25% to 100% of the sky in four near-IR bands (0.9-3.5 μm), to M AB...
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10 Maximum-Likelihood Estimationin Experimental Quantum Physics
The theory of quantum state reconstruction is illustrated here on several examples taken from modern experimental praxis. Maximum-likelihood...
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4 Qubit Quantum State Tomography
Quantum state tomography is the process by which an unkown quantum state is completely characterized. This chapter outlines the theoretical basis for...
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5 Unknown Quantum States and Operations,a Bayesian View
The classical de Finetti theorem provides an operational definition of the concept of an unknown probability in Bayesian probability theory, where...
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Transferable preference learning in multi-objective decision analysis and its application to hydrocracking
Hydrocracking represents a complex and time-consuming chemical process that converts heavy oil fractions into various valuable products with low...
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TRAA: a two-risk archive algorithm for expensive many-objective optimization
Many engineering problems are essentially expensive multi-/many-objective optimization problems, and surrogate-assisted evolutionary algorithms have...
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A quantum Bayes’ rule and related inference
A quantum analogue of Bayesian inference is considered here. Quantum state-update rule associated with instrument is elected as a quantum Bayes’...
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Tighter monogamy relations of the \(S^{t}\) and \(T^{t}_q\)-entropy entanglement measures based on dual entropy
Monogamy of entanglement is the fundamental property of quantum systems. By using two new entanglement measures based on dual entropy, the
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Mass Prediction and Analysis of an Object’s Mass from Its Image Using Deep Learning
The world is full of objects with different properties, such as volume, density, mass, material, etc. These properties are crucial for meaningful...
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Towards optimal score level fusion for adaptive multi-biometric authentication system
Multi-biometric authentication systems have been extensively investigated due to their merit over unimodal systems. Multi-biometric systems not only...
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Advancing automotive high-performance computing: integrating direction API with LORA technology in unified machine vision for future smart cars
This manuscript addresses the challenges in develo** Automotive High-Performance Computing (HPC) systems for Future Smart Cars and Unmanned Mobile...
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A novel bayesian network-based ensemble classifier chains for multi-label classification
In this paper, we address the challenges of random label ordering and limited interpretability associated with Ensemble Classifier Chains (ECC) by...
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Unexpected averages of mixing matrices
The (standard) average mixing matrix of a continuous-time quantum walk is computed by taking the expected value of the mixing matrices of the walk...