Titlebook: Soft Computing for Biomedical Applications and Related Topics; Vladik Kreinovich,Nguyen Hoang Phuong Book 2021 The Editor(s) (if applicabl

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1860-949X ft computing for biomedical problems.Intended for practition.This book presents innovative intelligent techniques, with an emphasis on their biomedical applications. Although many medical doctors are willing to share their knowledge – e.g. by incorporating it in computer-based advisory systems that

FACET

Engulf

Why Some Non-classical Logics Are More Studied?is paper, we show that fuzzy ideas can help explain why some non-classical logics are more studied and some less studied: namely, it turns out that most studied are the violations which can be implemented by the simplest expressions (specifically, by polynomials of the lowest order).

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ESYNDIAG: A Fuzzy Expert System for Eight Syndrome Diagnosis in Traditional Vietnamese Medicineome, Superficial syndrome, deep syndrome, Cold syndrome, Hot syndrome, Deficiency syndrome, Excess syndrome. The inference engine shows how to combine positive and negative rules. The first evaluation of ESYNDIAG is presented by the traditional medicine expert’s group in Vietnam and confirmed that ESYNDIAG diagnoses with a high accuracy.

correspondent

Manifold Based Data Refinement for Biological Analysishe number of samples is also reduced by suitability assessment. The method have been designed for rapid and scalable learning by combining selection of features and filtering training samples. Further the article includes experiments of the method with SVM classification model and performance evaluation for digital biological analysis.

DUST

Saliency Guided Image Watermarking for Anti-forgery assistance of a number of saliency models. Our results show that the cryptanalytic watermarking method is sufficient to achieve invisibility and stability of watermark. Experimental results on a benchmark indicate the advantage of the saliency feature based method for anti-forgery applications.

現(xiàn)代

Book 2021 share their knowledge – e.g. by incorporating it in computer-based advisory systems that can benefit other doctors – this knowledge is often expressed using imprecise (fuzzy) words from natural language such as “small,” which are difficult for computers to process. Accordingly, we need fuzzy techni

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Multiagent Smart Communication Based on CI Technology, where a concept of Fuzzy Atmosfield (FA) is proposed to express the atmosphere in humans-robots communication. The FA is characterized by a 3D fuzzy cubic space with “friendly-hostile”, “l(fā)ively-calm”, and “casual-formal” based on a cognitive science experiment and PCA. To understand easily such mo

性滿足

Develop a Prediction Model for Nonmelanoma Skin Cancer Using Deep Learning in EHR Datahe data of 9494 patients from Taiwan National Health Insurance data claim from 1999 to 2013. All patients’ diseases and medications were included in the development of the convolution neural network (CNN) model. We used the 3-year medical data of all patients before the diagnosed NMSC as the dimensi