Titlebook: Artificial Intelligence and Soft Computing; 20th International C Leszek Rutkowski,Rafał Scherer,Jacek M. Zurada Conference proceedings 2021

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Clustering-Based Adaptive Self-Organizing Mapted on the basis of the data density and scattering in the input data space. The density and scattering are expressed by the values of the inner-cluster variances, which are obtained after the preliminary input data clustering. The experiments conducted on the two real datasets evaluated the propose

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Applying Machine Learning Techniques to Identify Damaged Potatoesan algorithm for detecting damaged potato tubers on a conveyor belt that is characterized by speed and accuracy of recognition..The distinctive features of the algorithm are combining the methods of Viola-Jones and the convolutional networks, the application of two complementary classifiers, working

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Quantifying the Severity of Common Rust in Maize Using Mask R-CNNpaper focuses on one such initiative contributing to attaining this goal, namely, the identification or prediction of disease in crops. More specifically the paper examines the automated quantification of the severity of common rust in maize. Previous work has focused on using standard image process

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0302-9743 Analysis..·        Data Mining.. ..·        Various Problems of Artificial Intelligence..·        Bioinformatics, Biometrics and Medical Applications.978-3-030-87985-3978-3-030-87986-0Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Methodologie und Design des Gesamtprojekts,how the importance of the impact of monetary policy, financial stability, and the real activity of the economy in the behavior of liquidity. This work may be useful for those interest groups in public and macroeconomic policy, showing the potential in the combination of conventional statistical meth

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Tina Hartmann,Martina Kahl-Scholzided waves in particular, as they are in many ways similar to audio wave signals. This work proposes an adaptation of style-based GAN architecture to time-domain signal generation, and presents its viability for guided waves synthesis, utilizing a database of signals collected in series of pitch-cat

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https://doi.org/10.1007/978-3-662-43713-1nd good quality forecasts for two out of three currency pairs was obtained in the study. The article also presents the relationship between the results generated by the neural network and the settings of these networks - in particular, the impact of the number of delays on forecast errors and the nu

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