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检索条件"任意字段=26th International Conference on Methods and Models in Automation and Robotics, MMAR 2022"
32 条 记 录,以下是21-30 订阅
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Application of Tiny-ML methods for face recognition in social robotics using OhBot robots  26
Application of Tiny-ML methods for face recognition in socia...
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26th international conference on methods and models in automation and robotics
作者: Probierz, Eryka Bartosiak, Natalia Wojnar, Martyna Skowronski, Kamil Galuszka, Adam Grzejszczak, Tomasz Kgdziora, Olaf Silesian Tech Univ Dept Automat Control & Robot Gliwice Poland
the aim of this paper is to show the possible application of Tiny-ML family neural networks to social robots for face recognition. Social robotics is a constantly developing field that allows the production and develo... 详细信息
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Sensitivity Analysis of Time Delay Parabolic-Hyperbolic Optimal Control Problems with Boundary Conditions Involving Time Delays
Sensitivity Analysis of Time Delay Parabolic-Hyperbolic Opti...
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18th international conference on methods and models in automation and robotics (mmar)
作者: Emirsajlow, Zbigniew Krakowiak, Anna Kowalewski, Adam Sokolowski, Jan West Pomeranian Univ Technol Inst Control Engn Ul 26 Kwietnia 10 PL-71126 Szczecin Poland
In the paper the first order sensitivity analysis is performed for a class of optimal control problems for parabolic-hyperbolic systems in which time delays appear both in the state equations and in the Neumann bounda... 详细信息
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Patterns Tracking using Local Lacunarity and Track-Before-Detect Approach  20
Patterns Tracking using Local Lacunarity and Track-Before-De...
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20th international conference on methods and models in automation and robotics (mmar)
作者: Mazurek, Przemyslaw West Pomeranian Univ Technol Szczecin Dept Signal Proc & Multimedia Engn 26 Kwietnia 10 St PL-71126 Szczecin Poland
Line tracking is important for numerous applications of the machine vision, including control of line following robots. Local lacunarity for binary images allows the estimation of line by the detection of spatial diff... 详细信息
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Interpretable deep learning approach for classification of breast cancer - a comparative analysis of multiple instance learning models  27
Interpretable deep learning approach for classification of b...
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27th international conference on methods and models in automation and robotics (mmar)
作者: Buler, Jakub Buler, Rafal Bobowicz, Maciej Ferlin, Maria Rygusik, Marlena Kwasigroch, Arkadiusz Grochowski, Michal Gdansk Univ Technol Dept Intelligent Control Syst & Decis Support Gdansk Poland Med Univ Gdansk Dept Radiol 2 Gdansk Poland
Breast cancer is the most frequent female cancer. Its early diagnosis increases the chances of a complete cure for the patient. Suitably designed deep learning algorithms can be an excellent tool for quick screening a... 详细信息
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On the attainability of an estimate of a number of Perron exponents for discrete linear diagonal systems with bounded coefficients  20
On the attainability of an estimate of a number of Perron ex...
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20th international conference on methods and models in automation and robotics (mmar)
作者: Konyukh, Alexander Niezabitowski, Michal Belarus State Econ Univ Partyzanski Praspiekt 26 Minsk 220070 BELARUS Silesian Tech Univ Fac Automat Control Elect & Comp Sci PL-44100 Gliwice Poland
the Lyapunov, Perron and Bohl exponents are the most important numerical characteristics of dynamic systems used in control theory. Properties of the first one are well investigated. Properties of the Perron and Bohl ... 详细信息
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Sensitivity Analysis of Time Delay Parabolic-Hyperbolic Optimal Control Problems
Sensitivity Analysis of Time Delay Parabolic-Hyperbolic Opti...
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17th international conference on methods and models in automation and robotics (mmar)
作者: Emirsajlow, Zbigniew Krakowiak, Anna Kowalewski, Adam Sokolowski, Jan W Pomeranian Univ Technol Inst Control Engn Ul 26Kwietnia 10 PL-71126 Szczecin Poland Krakow Tech Univ PL-31155 Krakow Poland AGH Univ Sci & Technol Fac Elect Engn Automat Comp Sci & Elect Inst Automat PL-30059 Krakow Poland Univ Henri Poincare Inst Elie Cartan F-54506 Vandoeuvre Les Nancy France
In the paper the first order sensitivity analysis is performed for a class of optimal control problems for time delay parabolic-hyperbolic equations. A singular perturbation of geometrical domain of integration is int... 详细信息
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Sensitivity Analysis of Parabolic-Hyperbolic Optimal Control Problems
Sensitivity Analysis of Parabolic-Hyperbolic Optimal Control...
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16th international conference on methods and models in automation and robotics (mmar)
作者: Emirsajlow, Zbigniew Krakowiak, Anna Kowalewski, Adam Sokolowski, Jan West Pomeranian Univ Technol Inst Control Engn Ul 26 Kwietnia 10 PL-71126 Szczecin Poland Krakow Tech Univ Math Inst PL-31155 Krakow Poland AGH Univ Sci & Technol Inst Automat PL-30059 Krakow Poland Univ Henri Poincare Inst Elie Cartan Math Lab F-54506 Vandoeuvre Les Nancy France Polish Acad Sci Syst Res Inst PL-01447 Warsaw Poland
In the paper the first order sensitivity analysis is performed for a class of optimal control problems for parabolic-hyperbolic equations. A singular perturbation of geometrical domain of integration is introduced in ... 详细信息
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mmar 2022 Table of Contents
MMAR 2022 Table of Contents
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international conference on methods and models in automation and robotics (mmar)
Scroll to the title and select a Blue link to open a paper. After viewing the paper, use the bookmarks to the left to return to the Table of Contents.
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mmar 2022 Author Index
MMAR 2022 Author Index
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international conference on methods and models in automation and robotics (mmar)
Scroll to the title and select a Blue link to open a paper. After viewing the paper, use the bookmarks to the left to return to the Author Index.
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Improving the detection of noisy labels in image datasets using modified Confidence Learning
Improving the detection of noisy labels in image datasets us...
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international conference on methods and models in automation and robotics (mmar)
作者: Adam Popowicz Krystian Radlak Slawomir Lasota Karolina Szczepankiewicz Michal Szczepankiewicz Faculty of Automatic Control Silesian University of Technology Electronics and Computer Science Gliwice Poland Warsaw University of Technology Warsaw Poland
the effectiveness of machine learning algorithms, including deep neural networks (DNN) for classifying image data, depends on proper preparation of the training dataset. Erroneously labeled images in the training data... 详细信息
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