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(Field of Science)
Ministry points: Help
| Year | Points | List |
|---|---|---|
| Year 2024 | 200 | Ministry scored journals list 2024 |
| Year | Points | List |
|---|---|---|
| 2024 | 200 | Ministry scored journals list 2024 |
| 2023 | 200 | Ministry Scored Journals List |
| 2022 | 200 | Ministry Scored Journals List 2019-2022 |
| 2021 | 200 | Ministry Scored Journals List 2019-2022 |
| 2020 | 200 | Ministry Scored Journals List 2019-2022 |
| 2019 | 200 | Ministry Scored Journals List 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:
Points CiteScore:
| Year | Points |
|---|---|
| Year 2023 | 15.8 |
| Year | Points |
|---|---|
| 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 |
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Papers published in journal
Filters
total: 8
Catalog Journals
Year 2024
-
Adjusted SpikeProp algorithm for recurrent spiking neural networks with LIF neurons
PublicationA 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
PublicationThe 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...
Year 2023
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A multi-label text message classification method designed for applications in call/contact centre systems
Publication -
Ship weather routing featuring w-MOEA/D and uncertainty handling
PublicationThe 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...
Year 2022
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An automatic selection of optimal recurrent neural network architecture for processes dynamics modelling purposes
PublicationA 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...
Year 2019
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Preference-based evolutionary multi-objective optimization in ship weather routing
PublicationIn 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...
Year 2017
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Multi-objective electric distribution network reconfiguration solution using runner-root algorithm
Publication
Year 2016
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Multi-objective optimization of expensive electromagnetic simulation models
PublicationVast 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...
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