3D RADIATION MAP RECONSTRUCTION STRATEGY USING GAUSSIAN PROCESS REGRESSION WITH ATTENUATION EFFECTS AND RADIATION CHARACTERISTICS

3D radiation map reconstruction strategy using Gaussian process regression with attenuation effects and radiation characteristics

Recently, 3D radiation field reconstruction using data collected by robot has been examined to reduce radiation exposure to workers inside and outside nuclear facilities.Many studies have proposed radiation field reconstruction methods that consider radiation diffusion characteristics; however, they often face challenges in accounting for the effec

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Characterization of Complex Fractionated Atrial Electrograms by Sample Entropy: An International Multi-Center Study

Atrial fibrillation (AF) is the most commonly clinically-encountered arrhythmia.Catheter ablation of AF is mainly based on trigger elimination and modification of the AF substrate.Substrate mapping ablation of complex fractionated atrial electrograms (CFAEs) has emerged to be a promising technique.To improve substrate mapping based on CFAE analysis

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Prediction of blasting mean fragment size using support vector regression combined with five optimization algorithms

The main purpose of blasting operation is to produce desired and optimum mean size rock fragments.Smaller or fine fragments cause the loss of ore during loading and transportation, whereas large or coarser fragments need to be further processed, which enhances production cost.Therefore, accurate prediction of rock fragmentation is crucial in blasti

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