Results 31 to 40 of about 52,526 (306)
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
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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
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BarekengCluster analysis involves the methodical categorization of data based on the degree of similarity within each group to group data with similar characteristics. This study focuses on classifying poverty data across Indonesian provinces.
Dian Kurniasari +4 more
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ON PREDICTION AND DECISION MAKING UNDER UNCERTAINTIES FOR MEDICAL SYSTEMS RESEARCH PROBLEMS
Medična Informatika ta Inženerìâ, 2017 The work presents our results in field of application of system analysis methods to problem of medical research. We emphasize effects of uncertainty that should be taken into account in such complex processes. Medical system research requires information
V. P. Martsenyuk, I Ye. Andrushchak
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Probabilistic Machine Learning Methods for Fractional Brownian Motion Time Series Forecasting
Fractal and Fractional, 2023 This paper explores the capabilities of machine learning for the probabilistic forecasting of fractional Brownian motion (fBm). The focus is on predicting the probability of the value of an fBm time series exceeding a certain threshold after a specific ...
Lyudmyla Kirichenko, Roman Lavrynenko
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Molecular Oncology, EarlyView.This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan +9 more
wiley +1 more source
NeuroImage, 2020 Despite the importance and frequent use of Bayesian frameworks in brain network modeling for parameter inference and model prediction, the advanced sampling algorithms implemented in probabilistic programming languages to overcome the inference ...
M. Hashemi +6 more
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Path Planning for UAV Based on Improved PRM
Energies, 2022 In this paper, an improved probabilistic roadmap (IPRM) algorithm is proposed to solve the energy consumption problem of multi-unmanned aerial vehicle (UAV) path planning with an angle.
Weimin Li +5 more
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Screening for lung cancer: A systematic review of overdiagnosis and its implications
Molecular Oncology, EarlyView.Low‐dose computed tomography (CT) screening for lung cancer may increase overdiagnosis compared to no screening, though the risk is likely low versus chest X‐ray. Our review of 8 trials (84 660 participants) shows added costs. Further research with strict adherence to modern nodule management strategies may help determine the extent to which ...
Fiorella Karina Fernández‐Sáenz +12 more
wiley +1 more source