Titlebook: Artificial Intelligence and Soft Computing; 19th International C Leszek Rutkowski,Rafał Scherer,Jacek M. Zurada Conference proceedings 2020

ethnology

吸引力

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Hla461

Data Augmentation Using Principal Component Resampling for Image Recognition by Deep Learningentation techniques should be applied. Here we propose a novel image augmentation technique based on a random permutation of coefficients of within-class principal components obtained after applying Principal Component Analysis (PCA). After reconstruction, newly generated surrogate images are employ

遵循的规范

Multi-agent Architecture for Internet of Medical Thingsmmunicate with each other and exchange data. The guiding idea is to model solutions that can reduce the amount of expected time for analysis of examination results, quick response in the case of diseases as well as assist doctors. In this paper, we propose a solution based on a multi-agent system, w

被告

Automatic Visual Quality Assessment of Biscuits Using Machine Learninger, the techniques applied to quality control are often flawed or inefficient, due to the great dependence on the human factor, which leads to a tiresome process and highly susceptible to errors. Besides that, in the context of the industry 4.0 the use of technologies to improve the evaluation of th

morale

Classifying Image Series with a Reoccurring Concept Drift Using a Markov Chain Predictor as a Feedbasence of a slowly varying, reoccurring concept drift which results in the existence of relatively long subsequences of similar images from the same class. It seems useful to incorporate this knowledge into a classifier. To this end, we propose a novel idea of constructing a Markov chain (MC) that pr

服从

落叶剂

conservative

Grouping Handwritten Letter Strokes Using a Fuzzy Decision Treeses that a group of strokes matches the pattern. For this purpose, a method for comparing small groups of strokes is proposed. Then, the set of hypotheses is selected with the use of a decision tree to get a proposition of a word.