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QUIRCY: QUantum Integrated ResilienCY for Power Systems
Published 2025-01-01“…The HHL algorithm significantly outperforms classical fast decoupled load flow (FDLF) methods by requiring only <inline-formula> <tex-math notation="LaTeX">$\log _{2} N$ </tex-math></inline-formula> qubits to effectively represent an N-dimensional system. …”
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The Control of Gold Nanoparticles on Polyester Fibers by Raman Spectrograms in Conditions of Information Uncertainty with Detection Accuracy
Published 2013-12-01“…For detection of reliability of control of nanoparticles of gold on making components of the Raman ranges when using conditions of information uncertainty in work the method of an assessment of multidimensional reliability on joint probability of crossing of dispersions of normal distributions of intensivnost of the Raman spectrograms without nanoparticles and with nanoparticles on fibers depending on wave numbers on all range of their changes is offered. …”
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BioImpedance Spectroscopy to maintain Renal Output: the BISTRO randomised controlled trial
Published 2025-07-01“…We wished to establish the efficacy and cost-effectiveness of bioimpedance in pursuing this treatment strategy. Methods We undertook a multicentre, open-label, parallel, individually randomised controlled trial in incident haemodialysis patients, with clinicians and patients blinded to bioimpedance readings in the control group. …”
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Cost-effectiveness of dabigatran for thromboembolic events prevention in atrial fibrillation patients in Chile
Published 2025-07-01“…Methods A Markov cohort model was used to represent the natural history of AF in terms of ischemic and hemorrhagic complications. …”
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Multi-USV Task Assignment Based on NSGA II-MC
Published 2025-01-01“…An adaptive crossover and mutation probability mechanism was introduced, and the fitness was calculated using the Monte Carlo method. …”
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Hierarchical Mixed-Precision Post-Training Quantization for SAR Ship Detection Networks
Published 2024-10-01“…Post-training quantization (PTQ) provides an efficient method for pre-training neural networks to effectively reduce memory and computational resources without retraining. …”
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111
Performance Analysis of PSDRCT-RFEH-DF in Cooperative Networks
Published 2022-01-01“…In addition, the proposed protocol has lower outage probability than the time switching-based double-relay cooperative transmission (TSDRCT) protocol under the same power allocation ratio and energy conversion efficiency.…”
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112
Security Assessment of Electricity Video Terminal Network Based on Improved Dempster-Shafer Evidence Theory
Published 2024-06-01“…The cluster centers of different frames of discernment are obtained through the k-means method as the median value of the data-driven curve, which improves the BPA (basic probability allocation) accuracy of the data- driven method, especially to avoid the generation of conflict evidence with a focal element support rate of 1. …”
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113
Randomization in clinical trials with small sample sizes using group sequential designs.
Published 2025-01-01“…<h4>Methods</h4>We start with a literature review to assess how randomization procedures are reported in group sequential trials. …”
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Determinants of receiving government support by small and medium-sized enterprises in Russia
Published 2024-11-01“…These measures, therefore, must reach the target companies and ensure efficient allocation of resources. The article reveals key characteristics of SMEs in Russia that increase the probability of them receiving government support. …”
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An Adaptive Information Borrowing Platform Design for Testing Drug Candidates of COVID-19
Published 2022-01-01“…Compared with the nonborrowing method, borrowing information in the design substantially improves the probability of screening promising drugs and saves the sample size. …”
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116
Capacity planning for hydro-wind-photovoltaic-storage systems considering high-dimensional uncertainties
Published 2025-01-01“…Firstly, a scenario generation method based on the transition probability matrix and C-Vine Copula model is developed. …”
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Probabilistic forecasting of renewable energy and electricity demand using Graph-based Denoising Diffusion Probabilistic Model
Published 2025-01-01“…Extensive experiments validate that our proposed method reduces the Continuous Ranked Probability Score (CRPS) by 2.1%–70.9%, Mean Absolute Error (MAE) by 4.4%–52.2%, and Root Mean Squared Error (RMSE) by 7.9%–53.4% over existing methods on two real-world datasets.…”
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118
Learning from low precision samples
Published 2021-04-01“…However, storage and memory infrastructure at the edge are often primitive, due to cost and real-estate constraints. A simple, effective method is to learn machine learning models from quantized data stored with low arithmetic precision (1-8 bits). …”
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Building Construction Design Based on Particle Swarm Optimization Algorithm
Published 2022-01-01“…Through the analysis of prefabricated building construction safety risk factors, the combination of the Markov Chain and Bayesian networks method was used to estimate the probability of risk factors. …”
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Impact of the Adjustment of Maximum Order Volume on Pricing Efficiency of Stock Index Futures in China
Published 2020-01-01“…Finally, the dynamic factor analysis method is used to quantify the pricing efficiency based on the probability of informed trading and the characteristics of limit order book, and the influence of the event on the pricing efficiency of stock index futures market is discussed. …”
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