Titlebook: Computer Information Systems and Industrial Management; 20th International C Khalid Saeed,Ji?í Dvorsky Conference proceedings 2021 Springer

HILAR

A Novel Proposal of Using NLP to?Analyze IoT Apps Towards Securing User?Datarstanding the exact meaning of a stated functionality in the app description. In this paper, we have focused on the use of NLP in securing user data from malicious IoT apps by analysing their privacy policies and user reviews. This is followed by a novel proposal that supports cautious decision maki

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Addressing the Permutational Flow Shop Scheduling Problem Through Constructive Heuristics: A Statist MILP (Mixed Integer Liner Problem) problem. The results show that the performance of the NEH heuristic is superior in each scenario, regardless of the bottleneck, but also shows a variable behavior in each heuristic, taking into account the bottleneck machine.

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Search for a Flavor Suited to Beverage by Interactive Genetic Algorithmeach user’s feeling using IGA. In the use of the IGA, the user looks at the soda water with no sugar and smells the mixed flavor. In the mixture of the source aromas, Aromageur is used in the system. To investigate the fundamental efficiency of the IGA, a smelling experiment was conducted. The targe

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Investigation of Facial Preference Using Gaussian Process Preference Learning and Generative Image Me subspace and provided their evaluations in 100 trials. The stimuli for the first 80 trials were created from randomly generated parameters in the face subspace, while the remaining 20 trials were created from the parameters calculated using the acquisition function. We estimated the facial paramet

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Conference proceedings 2021l neural networks; modelling and optimization, and others.Chapter 24 "A first step towards automated species recognition from camera trap images of mammals using AI?in a European temperate forest" is published open access under a CC BY license (Creative Commons Attribution 4.0 International License)

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,Seilstatik, Kettenlinien, Stützlinien,cked by fake users or not in the middle of the session. The objective of proposed work is to demonstrate the hypothesis that user recognition algorithms applied to raw data can perform better if requirement for feature extraction can be avoided, which in turn can remove the problem of inappropriate

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Gleichgewicht des ebenen Kraftsystems,bed tool to support group-decision making are the ability to generate individual matrices for each expert and subsequent generation of aggregated group-decision matrix. These two types of matrices together with the completed data are stored as two components of the problem to be solved and can be re

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Gleichgewicht des ebenen Kraftsystems,izing maps (SOM and GHSOM), with the purpose of classifying bi-class network traffic automatically. From the above, a 97.09% hit rate was obtained with 21 features by implementing the GHSOM classifier with 10-fold cross-validation with the ONE R feature selection technique, which would improve the e

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