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Quantum True Random Number Generator
A quantum computer (QC) can generate true random numbers using the quantum superposition property of quantum bits (qubits). However, many types of... -
A novel videogrammetry-based full-field dynamic deformation monitoring method for variable-sweep wings
The measurement of wing dynamic deformation in morphing aircraft is crucial for achieving closed-loop control and evaluating structural safety. For...
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Malicious Domain Detection Using Random Indexing and Machine Learning
In this paper, we have described the use of distributed representations for malicious domain detection using Random Indexing and Machine Learning. At... -
Renyi entropy of uncertain random variables and its application to portfolio selection
This paper proposes a new type of entropy called Renyi entropy as an extension of logarithm entropy in an uncertain random environment and applies it...
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Safety Integrity and Random Failures
Safety integrity is the property of a system that provides safety-relevant operations, describing their resilience to dangerous failures. In... -
Didactic Tool for Intuitive Random Process Visualization
The use of educational tools is an essential part of achieving educational goals. All practicing educators have experienced the lack of appropriate... -
An enhanced event-triggered distributed fixed-time controller for multi-agent systems with random time-delays
This paper deals with the problem of cooperative control of time-delayed multi-agent systems. The objective is to achieve fixed-time regulation and...
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FEDSET: Federated Random Forest Based on Differential Privacy
The rapid development of the federated machine learning paradigm has broken down the data barriers in technology between different organizations and... -
A Review on Continuous-Variable Quantum Key Distribution Security
Regarding the security concerns arising from the threat that quantum computing algorithms pose on some today’s most efficient and widely implemented... -
Variable surrogate model-based particle swarm optimization for high-dimensional expensive problems
Many industrial applications require time-consuming and resource-intensive evaluations of suitable solutions within very limited time frames....
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Research on opportunity maintenance strategy for PV power generation systems considering random impact
Aiming at the complexity of the external operating environment of photovoltaic power generation system and the problems of unstable photovoltaic...
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Software defect prediction ensemble learning algorithm based on adaptive variable sparrow search algorithm
Software defect prediction has caused widespread concern among software engineering researchers, which aims to erect a software defect prediction...
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Bayesian optimization for mixed-variable, multi-objective problems
Optimizing multiple, non-preferential objectives for mixed variable, expensive black-box problems is important in many areas of engineering and...
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Distribution of the Roots of Certain Random Real Polynomials
Random polynomials appear naturally in different fields of physics, like quantum chaotic dynamics, where one has to study the statistical properties... -
A fast and robust quantum random number generator with a self-contained integrated photonic randomness core
Generating random numbers securely and at a high rate is important for information technology. Integrated photonics could potentially be used to...
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Entropic value at risk to find the optimal uncertain random portfolio
Chance theory is the main device for modeling indeterminacy when uncertainty and randomness coexist. This paper proposes the concept of entropic...
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Random Variables and Stochastic Processes
Randomness enters into communications problems through the classes of sources, such as speech, images, and music, that we wish to send from one... -
Stability evaluation of gentle slopes in spatially variable soils using discretized limit analysis method: a probabilistic study
The stability of gentle slopes is rarely accessed in existing studies, which are at risk of below-toe failure in soils with low shear strength. The...
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Variable selection and identification of high-dimensional nonparametric nonlinear systems by directional regression
The importance of discovering significant variables from a large candidate pool is now widely recognized in many fields. There exist a number of...