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Fatih Ozaydin, Ramita Sarkar, Veysel Bayrakci, Cihan Bayindir, Azmi Ali Altintas and Özgür E. Müstecaplioglu
Decoherence is a major issue in quantum information processing, degrading the performance of tasks or even precluding them. Quantum error-correcting codes, creating decoherence-free subspaces, and the quantum Zeno effect are among the major means for pro...
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Nikolay Kyurkchiev, Tsvetelin Zaevski, Anton Iliev, Vesselin Kyurkchiev and Asen Rahnev
In this article, we propose some extended oscillator models. Various experiments are performed. The models are studied using the Melnikov approach. We show some integral units for researching the behavior of these hypothetical oscillators. These will be ...
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Thibaut Théate and Damien Ernst
Classical reinforcement learning (RL) techniques are generally concerned with the design of decision-making policies driven by the maximisation of the expected outcome. Nevertheless, this approach does not take into consideration the potential risk assoc...
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Artur I. Petrov
The aim of this research is to study the specifics of the road accident rate formation processes in regions of the Russian Federation (2021) using information-entropic analysis. The typical research approaches (correlation-regression, factorial analyses,...
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Yuanzhi Guo, Shuqing Wang, Haiyan Guo and Xiancang Song
Due to inherent nonlinearities within floating systems and the second-order wave forces affecting them, the dynamic responses of floating systems manifest as bimodal Gaussian processes. Consequently, the classical spectral fatigue assessment method groun...
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Gayan Dharmarathne, Gabriela F. Nane, Andrew Robinson and Anca M. Hanea
Mathematical aggregation of probabilistic expert judgments often involves weighted linear combinations of experts? elicited probability distributions of uncertain quantities. Experts? weights are commonly derived from calibration experiments based on the...
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Phillip Kerger, David E. Bernal Neira, Zoe Gonzalez Izquierdo and Eleanor G. Rieffel
We present two algorithms in the quantum CONGEST-CLIQUE model of distributed computation that succeed with high probability: one for producing an approximately optimal Steiner tree, and one for producing an exact directed minimum spanning tree, each of w...
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Havana Rika, Itzhak Aviv and Roye Weitzfeld
In information systems research, the advantages of Customer Experience (CX) and its contribution to organizations are largely recognized. The CX analytics evaluate how customers perceive products, ranging from their functional usage to their cognitive st...
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Ruiwei Liu, Siqi Hao, Yaping Zhang, Chonghang Xu, Wenjing Li and Yunrui Mo
Generally, air track planning is conducted in real time and takes modified track distance minimization as objective. Next-generation air transport systems provide aircrafts with more flexibility in track planning and more responsibilities in self-separat...
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Yufeng Huang, Jun Tao, Gang Sun, Hao Zhang and Yan Hu
In this study, a prognostics and health management (PHM) framework is proposed for aero-engines, which combines a dynamic probability (DP) model and a long short-term memory neural network (LSTM). A DP model based on Gaussian mixture model-adaptive densi...
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