Results 31 to 40 of about 2,741,379 (327)
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Purpose To evaluate the impact of various noise reduction algorithms and template matching parameters on the accuracy of markerless tumor tracking (MTT) using dual‐energy (DE) imaging. Methods A Varian TrueBeam linear accelerator was used to acquire a series of alternating 60 and 120 kVp images (over a 180° arc) using fast kV switching, on ...
Mandeep Kaur +9 more
wiley +1 more source
PMBA: A Parallel MCMC Bayesian Computing Accelerator
IEEE Access, 2021 Bayesian computing, including sampling probability distributions, learning graphic model, and Bayesian reasoning, is a powerful class of machine learning algorithms with such wide applications as biologic computing, financial analysis, natural language ...
Yufei Ni, Yangdong Deng, Songlin Li
doaj +1 more source
The Polish Practice of Probabilistic Approach in Power System Development Planning
Energies, 2020 Power systems can be analyzed using either a deterministic or a probabilistic approach. The deterministic analysis centers on studying the quantities and indicators that characterize the operating states of the power system under strictly defined ...
Maksymilian Przygrodzki, Paweł Kubek
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A Probabilistic Method for Certification of Analytically Redundant Systems
International Journal of Applied Mathematics and Computer Science, 2015 Analytical fault detection algorithms have the potential to reduce the size, power and weight of safety-critical aerospace systems. Analytical redundancy has been successfully applied in many non-safety critical applications.
Hu Bin, Seiler Peter
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Petroleum Research, 2023 Various uncertainty quantification methodologies are presented using a combination of several deterministic decline curve analysis models and two bootstrapping algorithms. These probabilistic models are applied to 126 sample wells from the Permian basin.
Chukwuemeka O. Okoli +2 more
doaj
Tikimybinis dažnų posekių paieškos algoritmas
Informacijos Mokslai, 2009 Dažnų posekių paieška didelėse duomenų bazėse yra svarbi biologinių, klimato, fi nansinių ir daugelio kitų duomenų bazių analizei. Tikslieji algoritmai, skirti dažnų posekių paieškai, daug kartų perrenka visą duomenų bazę.
Julija Pragarauskaitė +1 more
doaj +1 more source
An Algorithm to Compute the Character Access Count Distribution for Pattern Matching Algorithms
Algorithms, 2011 We propose a framework for the exact probabilistic analysis of window-based pattern matching algorithms, such as Boyer–Moore, Horspool, Backward DAWG Matching, Backward Oracle Matching, and more.
Sven Rahmann, Tobias Marschall
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Weakly- and Semisupervised Probabilistic Segmentation and Quantification of Reverberation Artifacts
BME Frontiers, 2022 Objective and Impact Statement. We propose a weakly- and semisupervised, probabilistic needle-and-reverberation-artifact segmentation algorithm to separate the desired tissue-based pixel values from the superimposed artifacts.
Alex Ling Yu Hung +2 more
doaj +1 more source
Bayesian Modeling for Differential Cryptanalysis of Block Ciphers: A DES Instance
IEEE Access, 2023 Encryption algorithms based on block ciphers are among the most widely adopted solutions for providing information security. Over the years, a variety of methods have been proposed to evaluate the robustness of these algorithms to different types of ...
Vincenzo Agate +5 more
doaj +1 more source
Program Analysis of Probabilistic Programs [PDF]
arXiv, 2022 Probabilistic programming is a growing area that strives to make statistical analysis more accessible, by separating probabilistic modelling from probabilistic inference. In practice this decoupling is difficult. No single inference algorithm can be used as a probabilistic programming back-end that is simultaneously reliable, efficient, black-box, and ...
arxiv