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(Field of Science):
- automation, electronics, electrical engineering and space technologies (Engineering and Technology)
- information and communication technology (Engineering and Technology)
- safety engineering (Engineering and Technology)
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(Field of Science)
Ministry points: Help
| Year | Points | List |
|---|---|---|
| Year 2024 | 140 | Ministry scored journals list 2024 |
| Year | Points | List |
|---|---|---|
| 2024 | 140 | Ministry scored journals list 2024 |
| 2023 | 140 | Ministry Scored Journals List |
| 2022 | 140 | Ministry Scored Journals List 2019-2022 |
| 2021 | 140 | Ministry Scored Journals List 2019-2022 |
| 2020 | 140 | Ministry Scored Journals List 2019-2022 |
| 2019 | 140 | Ministry Scored Journals List 2019-2022 |
| 2018 | 10 | B |
| 2017 | 10 | B |
| 2016 | 10 | B |
| 2015 | 10 | B |
| 2014 | 3 | B |
| 2013 | 3 | B |
Model:
Points CiteScore:
| Year | Points |
|---|---|
| Year 2023 | 7 |
| Year | Points |
|---|---|
| 2023 | 7 |
| 2022 | 8.9 |
| 2021 | 7.6 |
| 2020 | 9.4 |
| 2019 | 7.9 |
| 2018 | 6.9 |
| 2017 | 4.4 |
| 2016 | 2.4 |
Impact Factor:
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- Information on publishing policy
- http://jaiscr.online/?page=InstructionsForAuthors open in new tab
- Information on the conditions of self-archiving
- Included in license
- Is self-archiving allowed by the journal?
- Yes - with restrictions
- Information on research data policy
- n/a
- Months of embargo
- no embargo
- Additional information
- Must link to journal homepage with DOI.
Sherpa Romeo:
Papers published in journal
Filters
total: 5
Catalog Journals
Year 2023
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An Intelligent Approach to Short-Term Wind Power Prediction Using Deep Neural Networks
PublicationIn this paper, an intelligent approach to the Short-Term Wind Power Prediction (STWPP) problem is considered, with the use of various types of Deep Neural Networks (DNNs). The impact of the prediction time horizon length on accuracy, and the influence of temperature on prediction effectiveness have been analyzed. Three types of DNNs have been implemented and tested, including: CNN (Convolutional Neural Networks), GRU (Gated Recurrent...
Year 2022
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Evolutionary Algorithm for Selecting Dynamic Signatures Partitioning Approach
PublicationIn the verification of identity, the aim is to increase effectiveness and reduce involvement of verified users. A good compromise between these issues is ensured by dynamic signature verification. The dynamic signature is represented by signals describing the position of the stylus in time. They can be used to determine the velocity or acceleration signal. Values of these signals can be analyzed, interpreted, selected, and compared....
Year 2021
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Monitoring Regenerative Heat Exchanger in Steam Power Plant by Making Use of the Recurrent Neural Network
PublicationArtificial Intelligence algorithms are being increasingly used in industrial applications. Their important function is to support operation of diagnostic systems. This paper pesents a new approach to the monitoring of a regenerative heat exchanger in a steam power plant, which is based on a specific use of the Recurrent Neural Network (RNN). The proposed approach was tested using real data. This approach can be easily adapted to...
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TOWARDS EXPLAINABLE CLASSIFIERS USING THE COUNTERFACTUAL APPROACH - GLOBAL EXPLANATIONS FOR DISCOVERING BIAS IN DATA
PublicationThe paper proposes summarized attribution-based post-hoc explanations for the detection and identification of bias in data. A global explanation is proposed, and a step-by-step framework on how to detect and test bias is introduced. Since removing unwanted bias is often a complicated and tremendous task, it is automatically inserted, instead. Then, the bias is evaluated with the proposed counterfactual approach. The obtained results...
Year 2011
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Optimizing control by robustly feasible model predictive control and application to drinking water distribution systems
PublicationThe paper considers optimizing Model Predictive Control (MPC) for nonlinear plants with output constraints under uncertainties. Although the MPC technology can handle the constraints in the model by solving constraint model based optimization task, satisfying the plant output constraints under the model uncertainty still remains a challenge. The paper proposes Robustly Feasible MPC (RFMPC), which achieves feasibility of the outputs...
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