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- automatyka, elektronika, elektrotechnika i technologie kosmiczne (Dziedzina nauk inżynieryjno-technicznych)
- inżynieria biomedyczna (Dziedzina nauk inżynieryjno-technicznych)
- nauki chemiczne (Dziedzina nauk ścisłych i przyrodniczych)
Punkty Ministerialne: Pomoc
| Rok | Punkty | Lista |
|---|---|---|
| Rok 2024 | 100 | Ministerialna lista czasopism punktowanych 2024 |
| Rok | Punkty | Lista |
|---|---|---|
| 2024 | 100 | Ministerialna lista czasopism punktowanych 2024 |
| 2023 | 140 | Lista ministerialna czasopism punktowanych 2023 |
| 2022 | 100 | Lista ministerialna czasopism punktowanych (2019-2022) |
| 2021 | 100 | Lista ministerialna czasopism punktowanych (2019-2022) |
| 2020 | 100 | Lista ministerialna czasopism punktowanych (2019-2022) |
| 2019 | 100 | Lista ministerialna czasopism punktowanych (2019-2022) |
| 2018 | 0 | niepunktowane |
| 2017 | 0 | niepunktowane |
| 2016 | 0 | niepunktowane |
| 2015 | 0 | niepunktowane |
| 2014 | 0 | niepunktowane |
| 2013 | 0 | niepunktowane |
Model czasopisma:
Punkty CiteScore:
| Rok | Punkty |
|---|---|
| Rok 2023 | 5.3 |
| Rok | Punkty |
|---|---|
| 2023 | 5.3 |
| 2022 | 4.7 |
| 2021 | 3.7 |
| 2020 | 2.7 |
| 2019 | 1.9 |
| 2018 | 2.1 |
| 2017 | 3.7 |
| 2016 | 2.5 |
Impact Factor:
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Prace opublikowane w tym czasopiśmie
Filtry
wszystkich: 60
Katalog Czasopism
Rok 2020
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A Study of Cross-Linguistic Speech Emotion Recognition Based on 2D Feature Spaces
PublikacjaIn this research, a study of cross-linguistic speech emotion recognition is performed. For this purpose, emotional data of different languages (English, Lithuanian, German, Spanish, Serbian, and Polish) are collected, resulting in a cross-linguistic speech emotion dataset with the size of more than 10.000 emotional utterances. Despite the bi-modal character of the databases gathered, our focus is on the acoustic representation...
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Employing Subjective Tests and Deep Learning for Discovering the Relationship between Personality Types and Preferred Music Genres
PublikacjaThe purpose of this research is two-fold: (a) to explore the relationship between the listeners’ personality trait, i.e., extraverts and introverts and their preferred music genres, and (b) to predict the personality trait of potential listeners on the basis of a musical excerpt by employing several classification algorithms. We assume that this may help match songs according to the listener’s personality in social music networks....
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Expedited Globalized Antenna Optimization by Principal Components and Variable-Fidelity EM Simulations: Application to Microstrip Antenna Design
PublikacjaParameter optimization, also referred to as design closure, is imperative in the development of modern antennas. Theoretical considerations along with rough dimension adjustment through supervised parameter sweeping can only yield initial designs that need to be further tuned to boost the antenna performance. The major challenges include handling of multi-dimensional parameter spaces while accounting for several objectives and...
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Nested Kriging with Variable Domain Thickness for Rapid Surrogate Modeling and Design Optimization of Antennas
PublikacjaDesign of modern antennas faces numerous difficulties, partially rooted in stringent specifications imposed on both electrical and field characteristics, demands concerning various functionalities (circular polarization, pattern diversity, band-notch operation), but also constraints imposed upon the physical size of the radiators. Conducting the design process at the level of full-wave electromagnetic (EM) simulations, otherwise...
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Novel Fault Identification for Electromechanical Systems via Spectral Technique and Electrical Data Processing
PublikacjaIt is proposed, developed, investigated, and validated by experiments and modelling for the first time in worldwide terms new data processing technologies, higher order spectral multiple correlation technologies for fault identification for electromechanical systems via electrical data processing. Investigation of the higher order spectral triple correlation technology via modelling has shown that the proposed data processing technology...
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Open-Source Coprocessor for Integer Multiple Precision Arithmetic
PublikacjaThis paper presents an open-source digital circuit of the coprocessor for an integer multiple-precision arithmetic (MPA). The purpose of this coprocessor is to support a central processing unit (CPU) by offloading computations requiring integer precision higher than 32/64 bits. The coprocessor is developed using the very high speed integrated circuit hardware description language (VHDL) as an intellectual property (IP) core. Therefore,...
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Reliable Surrogate Modeling of Antenna Input Characteristics by Means of Domain Confinement and Principal Components
PublikacjaA reliable design of contemporary antenna structures necessarily involves full-wave electromagnetic (EM) analysis which is the only tool capable of accounting, for example, for element coupling or the effects of connectors. As EM simulations tend to be CPU-intensive, surrogate modeling allows for relieving the computational overhead of design tasks that require numerous analyses, for example, parametric optimization or uncertainty...
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Self-Supervised Learning to Increase the Performance of Skin Lesion Classification
PublikacjaTo successfully train a deep neural network, a large amount of human-labeled data is required. Unfortunately, in many areas, collecting and labeling data is a difficult and tedious task. Several ways have been developed to mitigate the problem associated with the shortage of data, the most common of which is transfer learning. However, in many cases, the use of transfer learning as the only remedy is insufficient. In this study,...
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Wavelet Transform Analysis of Heart Rate to Assess Recovery Time for Long Distance Runners
PublikacjaThe diagnostics of the condition of athletes has become a field of special scientific interest and activity. The aim of this study was to verify the effect of a long (100 km) run on a group of runners, as well as to assess the recovery time that is required for them to return to the pre-run state. The heart rate (HR) data presented were collected the day before the extreme physical effort, on the same day as, but after, the physical...
Rok 2019
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Diagonalized Macromodels in Finite Element Method for Fast Electromagnetic Analysis of Waveguide Components
PublikacjaA new technique of local model-order reduction (MOR) in 3-D finite element method (FEM) for frequency-domain electromagnetic analysis of waveguide components is proposed in this paper. It resolves the problem of increasing solution time of the reduced-order system assembled from macromodels created in the subdomains, into which an analyzed structure is partitioned. This problem becomes particularly relevant for growing size and...
wyświetlono 3274 razy