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eISSN:
Dyscypliny:
- automatyka, elektronika, elektrotechnika i technologie kosmiczne (Dziedzina nauk inżynieryjno-technicznych)
- informatyka techniczna i telekomunikacja (Dziedzina nauk inżynieryjno-technicznych)
- inżynieria biomedyczna (Dziedzina nauk inżynieryjno-technicznych)
- nauki farmaceutyczne (Dziedzina nauk medycznych i nauk o zdrowiu)
- informatyka (Dziedzina nauk ścisłych i przyrodniczych)
Punkty Ministerialne: Pomoc
| Rok | Punkty | Lista |
|---|---|---|
| Rok 2024 | 200 | Ministerialna lista czasopism punktowanych 2024 |
| Rok | Punkty | Lista |
|---|---|---|
| 2024 | 200 | Ministerialna lista czasopism punktowanych 2024 |
| 2023 | 200 | Lista ministerialna czasopism punktowanych 2023 |
| 2022 | 200 | Lista ministerialna czasopism punktowanych (2019-2022) |
| 2021 | 200 | Lista ministerialna czasopism punktowanych (2019-2022) |
| 2020 | 200 | Lista ministerialna czasopism punktowanych (2019-2022) |
| 2019 | 200 | Lista ministerialna czasopism punktowanych (2019-2022) |
| 2018 | 40 | A |
| 2017 | 40 | A |
| 2016 | 40 | A |
| 2015 | 40 | A |
| 2014 | 40 | A |
| 2013 | 35 | A |
| 2012 | 35 | A |
| 2011 | 35 | A |
| 2010 | 32 | A |
Model czasopisma:
Punkty CiteScore:
| Rok | Punkty |
|---|---|
| Rok 2023 | 15.8 |
| Rok | Punkty |
|---|---|
| 2023 | 15.8 |
| 2022 | 14.3 |
| 2021 | 12.4 |
| 2020 | 11.2 |
| 2019 | 10.2 |
| 2018 | 8.9 |
| 2017 | 7.5 |
| 2016 | 6.8 |
| 2015 | 5.9 |
| 2014 | 7.1 |
| 2013 | 6.1 |
| 2012 | 5 |
| 2011 | 4.9 |
Impact Factor:
Sherpa Romeo:
Prace opublikowane w tym czasopiśmie
Filtry
wszystkich: 9
Katalog Czasopism
Rok 2024
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Adjusted SpikeProp algorithm for recurrent spiking neural networks with LIF neurons
PublikacjaA problem related to the development of a supervised learning method for recurrent spiking neural networks is addressed in the paper. The widely used Leaky-Integrate-and-Fire model has been adopted as a spike neuron model. The proposed method is based on a known SpikeProp algorithm. In detail, the developed method enables gradient descent learning of recurrent or multi-layer feedforward spiking neural networks. The research included...
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Model Management for Low-Computational-Budget Simulation-Based Optimization of Antenna Structures Using Nature-Inspired Algorithms
PublikacjaThe primary objective of this study is investigation of the possibilities of accelerating nature-inspired optimization of antenna structures using multi-fidelity EM simulation models. The primary methodology developed to achieve acceleration is a model management scheme which the level of EM simulation fidelity using two criteria: the convergence status of the optimization algorithm, and relative quality of the individual designs...
Rok 2023
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A multi-label text message classification method designed for applications in call/contact centre systems
Publikacja -
Ship weather routing featuring w-MOEA/D and uncertainty handling
Publikacja -
Ship weather routing featuring w-MOEA/D and uncertainty handling
PublikacjaThe paper presents a new version of evolutionary multi-objective weather routing (WR) for ships taking into account uncertainties of weather forecasts in route optimization. The method applies authors’ w-MOEA/D algorithm: MOEA/D framework incorporating Decision Maker’s (DM) preferences by means of w-dominance relation. Owing to this, DM preferences are taken into account throughout optimization, allowing the process to focus on...
Rok 2022
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An automatic selection of optimal recurrent neural network architecture for processes dynamics modelling purposes
PublikacjaA problem related to the development of algorithms designed to find the structure of artificial neural network used for behavioural (black-box) modelling of selected dynamic processes has been addressed in this paper. The research has included four original proposals of algorithms dedicated to neural network architecture search. Algorithms have been based on well-known optimisation techniques such as evolutionary algorithms and...
Rok 2019
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Preference-based evolutionary multi-objective optimization in ship weather routing
PublikacjaIn evolutionary multi-objective optimization (EMO) the aim is to find a set of Pareto-optimal solutions. Such approach may be applied to multiple real-life problems, including weather routing (WR) of ships. The route should be optimal in terms of passage time, fuel consumption and safety of crew and cargo while taking into account dynamically changing weather conditions. Additionally it must not violate any navigational constraints...
Rok 2017
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Multi-objective electric distribution network reconfiguration solution using runner-root algorithm
Publikacja
Rok 2016
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Multi-objective optimization of expensive electromagnetic simulation models
PublikacjaVast majority of practical engineering design problems require simultaneous handling of several criteria. For the sake of simplicity and through a priori preference articulation one can turn many design tasks into single-objective problems that can be handled using conventional numerical optimization routines. However, in some situations, acquiring comprehensive knowledge about the system at hand, in particular, about possible...
wyświetlono 1423 razy