Search Results - "Distributed computing"
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61
Decoding tourist satisfaction for sustainable economic development: a multi-method configuration framework using online reviews
Published 2025-07-01“…Building on the three-factor theory, we create a framework utilizing text mining, affective distribution computing, and fuzzy-set qualitative comparative analysis (fsQCA) to identify patterns driving high TSA. …”
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62
Even Simple Processes of π-calculus are Hard for Analysis
Published 2018-12-01“…Mathematical models of distributed computations, based on the calculus of mobile processes (π-calculus) are widely used for checking the information security properties of cryptographic protocols. …”
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63
Experimental and numerical study of bubbly flow and bubble size distribution produced by swirling flow bubble generator
Published 2025-09-01“…A high-speed camera and Particle Image Velocimetry (PIV) were used to observe the flow and bubble size distribution. Computational Fluid Dynamics (CFD) simulations coupled with the Population-Balanced Method (PBM) were applied with transient solvers, a mixture model for two-phase flow, turbulent bubble aggregation, and Lehr breakup kernels. …”
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64
Modeling Spatial Data with Heteroscedasticity Using PLVCSAR Model: A Bayesian Quantile Regression Approach
Published 2025-07-01“…Through an approximation of the nonparametric functions with free-knot splines, we develop a Bayesian sampling approach that can be applied by the Markov chain Monte Carlo (MCMC) approach and design an efficient Metropolis–Hastings within the Gibbs sampling algorithm to explore the joint posterior distributions. Computational efficiency is achieved through a modified reversible-jump MCMC algorithm incorporating adaptive movement steps to accelerate chain convergence. …”
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65
Text-Guided Distribution Calibration for Few-Shot Object Detection in Remote Sensing Images
Published 2025-01-01“…Following this idea, we design a text-guided distribution calibration module, for each query image, which utilizes the intra-image object class distribution defined by the text features to calibrate the object class distribution computed based on the visual features using a knowledge distillation loss for model training. …”
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66
Parameter Estimation for Three-Phase Induction Motor Based on Performance Curves and Differential Evolution
Published 2025-01-01“…Furthermore, the study includes a comparative analysis that includes seven evolutionary algorithms, focusing on solution distribution, computational complexity, and convergence characteristics. …”
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