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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 | 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 | 35 | A |
| 2017 | 35 | A |
| 2016 | 35 | A |
| 2015 | 35 | A |
| 2014 | 35 | A |
| 2013 | 35 | A |
| 2012 | 35 | A |
| 2011 | 35 | A |
| 2010 | 32 | A |
Model:
Points CiteScore:
| Year | Points |
|---|---|
| Year 2023 | 13.8 |
| Year | Points |
|---|---|
| 2023 | 13.8 |
| 2022 | 12.6 |
| 2021 | 12.2 |
| 2020 | 12.7 |
| 2019 | 11 |
| 2018 | 10.2 |
| 2017 | 9.5 |
| 2016 | 8.2 |
| 2015 | 7.7 |
| 2014 | 7.2 |
| 2013 | 6.1 |
| 2012 | 5.9 |
| 2011 | 4.9 |
Impact Factor:
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Papers published in journal
Filters
total: 9
Catalog Journals
Year 2024
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Enhanced encoder–decoder architecture for visual perception multitasking of autonomous driving
Publication -
Optimization-based stacked machine-learning method for seismic probability and risk assessment of reinforced concrete shear walls
PublicationEfficient seismic risk assessment aids decision-makers in formulating citywide risk mitigation plans, providing insights into building performance and retrofitting costs. The complexity of modeling, analysis, and post-processing of the results makes it hard to fast-track the seismic probabilities, and there is a need to optimize the computational time. This research addresses seismic probability and risk assessment of reinforced...
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Quantifying inconsistencies in the Hamburg Sign Language Notation System
PublicationThe advent of machine learning (ML) has significantly advanced the recognition and translation of sign languages, bridging communication gaps for hearing-impaired communities. At the heart of these technologies is data labeling, crucial for training ML algorithms on a huge amount of consistently labeled data to achieve models that generalize well. The adoption of language-agnostic annotations is essential to connect different sign...
Year 2023
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Exploring the landscape of automatic cerebral microbleed detection: A comprehensive review of algorithms, current trends, and future challenges
PublicationThis paper provides the first review to date which gathers, describes, and assesses, to the best of our knowledge, all available publications on automating cerebral microbleed (CMB) detection. It provides insights into the current state of the art and highlights the challenges and opportunities in this topic. By incorporating the best practices identified in this review, we established guidelines for the development of CMB detection...
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Exploring the landscape of automatic cerebral microbleed detection: A comprehensive review of algorithms, current trends, and future challenges
Publication
Year 2017
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Automated Reasoning Based User Interface
PublicationMotivation: The ability to directly trace how requirements are implemented in a software system is crucial in domains that require a high level of trust (e.g. medicine, law, crisis management). This paper describes an approach that allows a high level of traceability to be achieved with model-driven engineering supported by automated reasoning. The paper gives an introduction to the novel, automated user interface synthesis in...
Year 2016
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Identification of category associations using a multilabel classifier
PublicationDescription of the data using categories allows one to describe it on a higher abstraction level. In this way, we can operate on aggregated groups of the information, allowing one to see relationships that do not appear explicit when we analyze the individual objects separately. In this paper we present automatic identification of the associations between categories used for organization of the textual data. As experimental data...
Year 2011
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A decision-making module for aiding ship system automation design; A knowledge-based approach
PublicationZastosowanie elementów sztucznej inteligencji, w tym systemów z bazą wiedzy staje się coraz bardziej powszechne przy komputerowo wspomaganym projektowaniu. Proces projektowy związany jest z wieloma problemami decyzyjnymi, jak: wybór struktury podsystemu, podzespołów czy też elementów składowych. Z tego względu zdecydowano się opracować system z bazą wiedzy z modułem wspirającym proces podejmowania decyzji.W artykule przedstawiono...
Year 2009
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Turbine stage design aided by artificial intelligence methods
PublicationZaproponowano ogólny, wydajny system wspomagania projektowania palisad , stopni i grupy stopni turbinowych. Zastosowane algorytmy wykorzystują algorytmy genetyczne, sieci neuronowe i obliczenia równoległe. Uzyskane rozwiązania projektowe są wysoko zoptymalizowane pod względem sprawności, a czas ich uzyskania jest o kilka rzędów wielkości mniejszy, niż przy zastosowaniu obliczeń CFD.
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