Titlebook: Computer Information Systems and Industrial Management; 17th International C Khalid Saeed,Władysław Homenda Conference proceedings 2018 Spr

致词

Grundbegriffe der Wellenausbreitung,bution. As the base for comparison we take a sequence of images from that laser based additive manufacturing process. It is important that the classifiers are fed by raw images. The classifiers are compared according to several criterions and the methodology of all pair-wise comparisons is used to rank them.

作呕

Pattern Recognition Solutions for Fake News Detectionor media and broadcasting sector, for citizens, but also for homeland security. In this paper we present and overview the problem of fake news, we show the ideas and solutions for fake news detection, and we present our initial results for one of such approaches based on forged images detection.

BLAND

flaunt

Conference proceedings 2018SIM 2018, held in Olomouc, Czech Republic, in September 2018.. The 42 full papers presented together with 4 keynotes were carefully reviewed and selected from 69 submissions. The main topics covered by the chapters in this book are biometrics, security systems, multimedia, classification and cluster

Shuttle

https://doi.org/10.1007/978-3-540-49833-9 and its application to the presented problem of medical image classification. The results are obtained with the help of predefined classifiers provided by dedicated software. The paper presents a comparison of results and proposes an example method of improving the approach.

KEGEL

,Akustische Wellen in festen Körpern,ges was created. The second part of the work is implementation of the algorithm to process input images. The authors used soft computing algorithm that is artificial neural network to find specific structures on the image. The last stage of the work is connected with confirmation of the results obtained with artificial neural network.

狼群

Tissue Recognition on Microscopic Images of Histological Sections Using Sequences of Zernike Moments and its application to the presented problem of medical image classification. The results are obtained with the help of predefined classifiers provided by dedicated software. The paper presents a comparison of results and proposes an example method of improving the approach.

FADE

Finger Veins Feature Extraction Algorithm Based on Image Processing Methodsges was created. The second part of the work is implementation of the algorithm to process input images. The authors used soft computing algorithm that is artificial neural network to find specific structures on the image. The last stage of the work is connected with confirmation of the results obtained with artificial neural network.

condescend

Schallquellen, Schallabstrahlung,, which is based on custom image filtering and circular objects recognition. Accuracy of the proposed approach was verified by comparison with results of experts’ evaluation in experiments conducted on micrographs of healthy tissue, adenomas, and hyperplasias with various IHC markers.

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