- Mathematics and Applications
- Asphalt Pavement Performance Evaluation
- Infrastructure Maintenance and Monitoring
- graph theory and CDMA systems
- Surface Roughness and Optical Measurements
- Text and Document Classification Technologies
- Advanced Theoretical and Applied Studies in Material Sciences and Geometry
- History and Theory of Mathematics
- Analytical Chemistry and Chromatography
- Sentiment Analysis and Opinion Mining
- Coding theory and cryptography
- Phase Equilibria and Thermodynamics
- Limits and Structures in Graph Theory
- Innovative Educational Techniques
- Educational Technology and Pedagogy
- Approximation Theory and Sequence Spaces
- Global Energy Security and Policy
- Architecture and Computational Design
- Functional Equations Stability Results
- Non-Destructive Testing Techniques
- Advanced Technologies in Various Fields
- Advanced Numerical Analysis Techniques
- Mathematical Approximation and Integration
- Neural Networks and Applications
- Neural Networks and Reservoir Computing
J. Selye University
2009-2024
Obuda University
2019
Comenius University Bratislava
2015
Prediction models in mobility and transportation maintenance systems have been dramatically improved by using machine learning methods. This paper proposes novel for an intelligent road inspection. The traditional inspection based on the pavement condition index (PCI) are often associated with critical safety, energy cost issues. Alternatively, proposed utilize surface deflection data from falling weight deflectometer (FWD) tests to predict PCI. Machine methods single multi-layer perceptron...
Emotion detection from the text is an important and challenging problem in analytics. The opinion-mining experts are focusing on development of emotion applications as they have received considerable attention online community including users business organization for collecting interpreting public emotions. However, most existing works used less efficient machine learning classifiers with limited datasets, resulting performance degradation. To overcome this issue, work aims at evaluation...
In the present work, a novel and robust computational investigation is carried out to estimate solubility of different acids in supercritical carbon dioxide. Four algorithms such as radial basis function artificial neural network, Multi-layer Perceptron (MLP) network (ANN), Least squares support vector machine (LSSVM) adaptive neuro-fuzzy inference system (ANFIS) are developed predict dioxide based on temperature, pressure, hydrogen number, molecular weight, acid dissociation constant acid....
In the present work, a novel machine learning computational investigation is carried out to accurately predict solubility of different acids in supercritical carbon dioxide. Four algorithms radial basis function, multi-layer perceptron (MLP), artificial neural networks (ANN), least squares support vector (LSSVM) and adaptive neuro-fuzzy inference system (ANFIS) are used model dioxide based on temperature, pressure, hydrogen number, molecular weight, dissociation constant acid. To evaluate...
Emotion detection from the text is a challenging problem in analytics. The opinion mining experts are focusing on development of emotion applications as they have received considerable attention online community including users and business organization for collecting interpreting public emotions. However, most existing works used less efficient machine learning classifiers with limited datasets, resulting performance degradation. To overcome this issue, work aims at evaluation different...
In this paper a new control system on basis of group method for data handling neural networks (GMDH-NNs) is designed voltage and power regulation in the photovoltaic (PV)/Fuel/Battery systems. The dynamics all subsystems are considered to be fully uncertain. suggested GMDH-NN learned using online tuning rules that concluded through robustness investigation. challenging operation conditions such as variable unknown dynamics, temperature irradiation suddenly changes output load taken into...
Prediction models in mobility and transportation maintenance systems have been dramatically improved through using machine learning methods. This paper proposes novel for an intelligent road inspection. The traditional inspection based on the pavement condition index (PCI) are often associated with critical safety, energy cost issues. Alternatively, proposed utilize surface deflection data from falling weight deflectometer (FWD) tests to predict PCI. Machine methods single multi-layer...
Abstract Using new characteristics of an infinite subset positive integers we give some estimations the dispersion related block sequence.
<abstract><p>Among the triangle congruence axioms, side-side-angle (SsA) axiom states that two triangles are congruent if and only pairs of corresponding sides angles opposite longer equal. We construct sequences in which items satisfy a modified condition. require shorter be The locus intersection points other is derived to hyperbola, generalized form defined by complete quadrilateral, it conic section.</p></abstract>
Abstract Among the triangle congruence axioms, side-side-angle (SsA) axiom states that two triangles are congruent if and only pairs of corresponding sides angles opposite longer equal. The modification SsA provides a construction with sequences . We require equivalent shorter be fixed locus intersection points other is derived to hyperbola, in generalized form defined by complete quadrilateral, it conic section.
The students generally use technology for communication in the European Union and outside of Union. First all we have to see this research ICT knowledge level higher education make decision about application retraining methods. It is important know can find any difference literacy between Slovakian Serbian how long way finish revolution these countries. On other hand it which topic need more attention from teachers high school give a good student before they go education. We measured with...
We use computational simulations to analyse the behavior of recently proposed Bidirectional Activation-based Learning algorithm (BAL) which was inspired by Generalized Recirculation (GeneRec). Both algorithms avoid biologically implausible backpropagation error signal, and instead propagation neuron activations, drive weight updates, using only local variables. take a closer look at 4-2-4 autoencoder task for which, despite simplicity, reliable convergence could not be achieved either two...
Abstract This paper aims to prove the assumption that center of circle containing two vertices a complete quadrilateral, along with conic section formed by diagonal points quadrilateral (with third point being fixed), are collinear midpoint segment defined intersection their common tangent lines. The lines drawn from remaining quadrilateral. Furthermore, general theorem can be deduced this proof, asserting when is considered instead circle, centers sections and intersections collinear....
In this paper, we study the behavior of dispersion special types sequences which block sequence is dense.
Prediction models in mobility and transportation maintenance systems have been dramatically improved through using machine learning methods. This paper proposes novel for intelligent road inspection. The traditional inspection based on the pavement condition index (PCI) are often associated with critical safety, energy cost issues. Alternatively, proposed utilize surface deflection data from falling weight deflectometer (FWD) tests to predict PCI. Machine methods single multi-layer...
The Exeter point of a given triangle ABC is the center perspective tangential and circummedial triangle. process from centroid serves as base for defining transformation with respect to ABC, which maps all points plane. We show that point, its image, symmedian, three exsymmedian are on same conic. general line fourth-order curve passing through points. each image can be four different aim determine invariant lines some other properties transformation.