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Dyscypliny:
- Automatyka, elektronika i elektrotechnika (Dziedzina nauk inżynieryjno-technicznych)
- Informatyka techniczna i telekomunikacja (Dziedzina nauk inżynieryjno-technicznych)
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- Nauki o bezpieczeństwie (Dziedzina nauk społecznych)
- Nauki o komunikacji społecznej i mediach (Dziedzina nauk społecznych)
- Nauki o zarządzaniu i jakości (Dziedzina nauk społecznych)
- Informatyka (Dziedzina nauk ścisłych i przyrodniczych)
Punkty Ministerialne: Pomoc
| Rok | Punkty | Lista |
|---|---|---|
| Rok 2023 | 200 | Lista ministerialna czasopism punktowanych |
| Rok | Punkty | Lista |
|---|---|---|
| 2023 | 200 | Lista ministerialna czasopism punktowanych |
| 2022 | 200 | Lista ministerialna czasopism punktowanych |
| 2021 | 200 | Lista ministerialna czasopism punktowanych |
| 2020 | 200 | Lista ministerialna czasopism punktowanych |
| 2019 | 200 | Lista ministerialna czasopism punktowanych |
| 2018 | 40 | A |
| 2017 | 40 | A |
| 2016 | 40 | A |
| 2015 | 35 | A |
| 2014 | 35 | A |
| 2013 | 40 | A |
| 2012 | 25 | A |
| 2011 | 25 | A |
| 2010 | 20 | A |
Model czasopisma:
Punkty CiteScore:
| Rok | Punkty |
|---|---|
| Rok 2021 | 12 |
| Rok | Punkty |
|---|---|
| 2021 | 12 |
| 2020 | 11.3 |
| 2019 | 11.7 |
| 2018 | 10.1 |
| 2017 | 8.6 |
| 2016 | 8.2 |
| 2015 | 7.4 |
| 2014 | 6.5 |
| 2013 | 6.3 |
| 2012 | 5.7 |
| 2011 | 4.8 |
Impact Factor:
Sherpa Romeo:
Prace opublikowane w tym czasopiśmie
Filtry
wszystkich: 10
Katalog Czasopism
Rok 2022
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Fast EM-Driven Parameter Tuning of Microwave Circuits with Sparse Sensitivity Updates via Principal Directions
PublikacjaNumerical optimization has become more important than ever in the design of microwave components and systems, primarily as a consequence of increasing performance demands and growing complexity of the circuits. As the parameter tuning is more and more often executed using full-wave electromagnetic (EM) models, the CPU cost of the overall process tends to be excessive even for local optimization. Some ways of alleviating these issues...
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Knowledge-based performance-driven modeling of antenna structures
PublikacjaThe importance of surrogate modeling techniques in the design of modern antenna systems has been continuously growing over the recent years. This phenomenon is a matter of practical necessity rather than simply a fashion. On the one hand, antenna design procedures rely on full-wave electromagnetic (EM) simulation tools. On the other hand, the computational costs incurred by repetitive EM analyses involved in solving common tasks...
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On Decision-Making Strategies for Improved-Reliability Size Reduction of Microwave Passives: Intermittent Correction of Equality Constraints and Adaptive Handling of Inequality Constraints
PublikacjaDesign optimization of passive microwave components is an intricate process, especially if the primary objective is a reduction of the physical size of the structure. The latter has become an important design consideration for a growing number of modern applications (mobile communications, wearable/implantable devices, internet of things), where miniaturization is imperative due to a limited space allocated for the electronic circuitry....
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Optimization-Based Robustness Enhancement of Compact Microwave Component Designs with Response Feature Regression Surrogates
PublikacjaThe ability to evaluate the effects of fabrication tolerances and other types of uncertainties is a critical part of microwave design process. Improving the immunity of the device to parameter deviations is equally important, especially when the performance specifications are stringent and can barely be met even assuming a perfect manufacturing process. In the case of modern miniaturized microwave components of complex topologies,...
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Rapid Design Centering of Multi-Band Antennas Using Knowledge-Based Inverse Models and Response Features
PublikacjaAccounting for manufacturing tolerances as well as uncertainties concerning operating conditions and material parameters is one of the important yet often neglected aspects of antenna development. Appropriate quantification of uncertainties allows for estimating the fabrication yield but also to carry out robust design (e.g., yield maximization). For reliability reasons, statistical analysis should be executed at the accuracy level...
Rok 2021
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A new multi-process collaborative architecture for time series classification
PublikacjaTime series classification (TSC) is the problem of categorizing time series data by using machine learning techniques. Its applications vary from cybersecurity and health care to remote sensing and human activity recognition. In this paper, we propose a novel multi-process collaborative architecture for TSC. The propositioned method amalgamates multi-head convolutional neural networks and capsule mechanism. In addition to the discovery...
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Global EM-Driven Optimization of Multi-Band Antennas Using Knowledge-Based Inverse Response-Feature Surrogates
PublikacjaElectromagnetic simulation tools have been playing an increasing role in the design of contemporary antenna structures. The employment of electromagnetic analysis ensures reliability of evaluating antenna characteristics but also incurs considerable computational expenses whenever massive simulations are involved (e.g., parametric optimization, uncertainty quantification). This high cost is the most serious bottleneck of simulation-driven...
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Recent Advances in Accelerated Multi-Objective Design of High-Frequency Structures using Knowledge-Based Constrained Modeling Approach
PublikacjaDesign automation, including reliable optimization of engineering systems, is of paramount importance for both academia and industry. This includes the design of high-frequency structures (antennas, microwave circuits, integrated photonic components), where the appropriate adjustment of geometry and material parameters is crucial to meet stringent performance requirements dictated by practical applications. Realistic design has...
Rok 2014
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A fuzzy logic model for forecasting exchange rates
PublikacjaThis article is devoted to the issue of forecasting exchange rates. The objective of the conducted research is to develop a predictive model with the use of an innovative methodology - fuzzy logic theory - and to evaluate its effectiveness in times of prosperity and during the financial crisis. The model is based on sets of rules written by the author in the form of IF-THEN, where expert knowledge is stored. This model is the result...
Rok 2006
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An agent-based approach to ANN training
Publikacja
wyświetlono 341 razy