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Your search keyword '"Michałowska, Martyna"' showing total 20 results
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20 results on '"Michałowska, Martyna"'

1. On Different Methods for Calculating the Flight Height in the Vertical Countermovement Jump Analysis

Author

Grabski, Jakub Krzysztof, Walczak, Tomasz, Michałowska, Martyna, Pastusiak, Patrycja, Szczetyńska, Marta, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Arkusz, Katarzyna, editor, Będziński, Romuald, editor, Klekiel, Tomasz, editor, and Piszczatowski, Szczepan, editor

Published
2019
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2. Application of Artificial Neural Networks in the Human Identification Based on Thermal Image of Hands

Author

Walczak, Tomasz, Grabski, Jakub Krzysztof, Michałowska, Martyna, Szadkowska, Dominika, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Arkusz, Katarzyna, editor, Będziński, Romuald, editor, Klekiel, Tomasz, editor, and Piszczatowski, Szczepan, editor

Published
2019
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3. Height of the Countermovement Vertical Jump Determined Based on the Measurements Coming from the Motion Capture System

Author

Grabski, Jakub Krzysztof, Walczak, Tomasz, Michałowska, Martyna, Szczetyńska, Marta, Pastusiak, Patrycja, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Tkacz, Ewaryst, editor, Gzik, Marek, editor, Paszenda, Zbigniew, editor, and Piętka, Ewa, editor

Published
2019
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4. Estimation of Apnea-Hypopnea Index in Sleep Breathing Disorders with the Use of Artificial Neural Networks

Author

Walczak, Tomasz, Ferduła, Renata, Michałowska, Martyna, Grabski, Jakub Krzysztof, Cofta, Szczepan, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Tkacz, Ewaryst, editor, Gzik, Marek, editor, Paszenda, Zbigniew, editor, and Piętka, Ewa, editor

Published
2019
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5. Assessment of Clinical Variables Importance with the Use of Neural Networks by the Example of Thyroid Blood Test Parameters

Author

Michałowska, Martyna, Walczak, Tomasz, Grabski, Jakub Krzysztof, Grygorowicz, Monika, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Tkacz, Ewaryst, editor, Gzik, Marek, editor, Paszenda, Zbigniew, editor, and Piętka, Ewa, editor

Published
2019
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6. Flow of subretinal liquid through the retinal hole after surgery – mechanical model and FEM simulations

Author

Walczak, Tomasz, Fritzkowski, Paweł, Stopa, Marcin, Michałowska, Martyna, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Gzik, Marek, editor, Tkacz, Ewaryst, editor, Paszenda, Zbigniew, editor, and Piętka, Ewa, editor

Published
2018
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7. Gender recognition using artificial neural networks and data coming from force plates

Author

Grabski, Jakub Krzysztof, Walczak, Tomasz, Michałowska, Martyna, Cieślak, Magdalena, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Gzik, Marek, editor, Tkacz, Ewaryst, editor, Paszenda, Zbigniew, editor, and Piętka, Ewa, editor

Published
2018
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16. Thirty Percent of Female Footballers Terminate Their Careers Due to Injury: A Retrospective Study Among Polish Former Players.

Author

Grygorowicz, Monika, Michałowska, Martyna, Jurga, Paulina, Piontek, Tomasz, Jakubowska, Honorata, and Kotwicki, Tomasz

Subjects
*CROSS-sectional method, *WOUNDS & injuries, *WOMEN athletes, *SOCCER, *DATA analysis, *HEALTH status indicators, *RETIREMENT, *QUESTIONNAIRES, *FISHER exact test, *HEALTH insurance, *RETROSPECTIVE studies, *DESCRIPTIVE statistics, *ANTERIOR cruciate ligament, *RESEARCH, *STATISTICS, *DATA analysis software, *PSYCHOSOCIAL factors, *SOCCER injuries, *PHYSICAL activity
Abstract

Context: Female football is becoming an increasingly popular women's team sports discipline around the world. The Women's Football Committee in the Polish Football Association has developed a long-term strategic plan to popularize the discipline across the country and enhance girls' participation. On one hand, it is postulated to increase the number of female footballers, and on the other hand, it is crucial to decrease the number of girls quitting football prematurely. Objective: To find the reasons for sports career termination among female football players. Design: Cross-sectional with retrospective information about reasons of career termination. Setting: Online questionnaire was filled out by online access. Participants: Ninety-three former female footballers. Main Outcome Measures: Factors leading to career termination. Methods: Participants completed the online questionnaire. The analysis was performed referring to 2 groups: "injury group"—in which the injury was the main reason for quitting football, and "other group"—in which the female player stopped playing football due to all other factors. Results: Thirty percent of former Polish female football players terminated their career due to a long-term treatment for an injury. Over 27% (27.7%) females had ended their careers because they were not able to reconcile sports with work/studying. Over 10% (10.8%) of former football players reported that becoming a wife and/or mother was the reason for career termination. Losing motivation and interest in the sport was reported by 9.2% (n = 6) of present study participants who decided to terminate the career due to noninjury reasons. Conclusions: The results clearly show that more effort is needed to support female football players, especially after an injury, so that they do not quit the sport voluntarily. [ABSTRACT FROM AUTHOR]

Published
2019
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17. Artificial neural networks in knee injury risk evaluation among professional football players

Author

Michałowska Martyna, Grabski Jakub Krzysztof, Grygorowicz Monika, and Walczak Tomasz

Subjects
medicine.medical_specialty, Football players, Artificial neural network, business.industry, Anterior cruciate ligament, Football, Backpropagation, medicine.anatomical_structure, Physical medicine and rehabilitation, medicine, Knee injuries, business, Risk assessment, Hamstring
Abstract

Lower limb injury risk assessment was proposed, based on isokinetic examination that is a part of standard athlete’s biomechanical evaluation performed mainly twice a year. Information about non-contact knee injury (or lack of the injury) sustained within twelve months after isokinetic test, confirmed in USG were verified. Three the most common types of football injuries were taken into consideration: anterior cruciate ligament (ACL) rupture, hamstring and quadriceps muscles injuries. 22 parameters, obtained from isokinetic tests were divided into 4 groups and used as input parameters of five feedforward artificial neural networks (ANNs). The 5th group consisted of all considered parameters. The networks were trained with the use of Levenberg-Marquardt backpropagation algorithm to return value close to 1 for the sets of parameters corresponding injury event and close to 0 for parameters with no injury recorded within 6 - 12 months after isokinetic test. Results of this study shows that ANN might be useful tools, which simplify process of simultaneous interpretation of many numerical parameters, but the most important factor that significantly influence the results is database used for ANN training.

Published
2018

20. Comparison of some evolutionary algorithms for optimization of the path synthesis problem.

Author

Grabski, Jakub Krzysztof, Walczak, Tomasz, Buśkiewicz, Jacek, and Michałowska, Martyna

Subjects
EVOLUTIONARY algorithms, ALGORITHMS, ARTIFICIAL intelligence, GENETIC algorithms, MACHINE theory
Abstract

The paper presents comparison of the results obtained in a mechanism synthesis by means of some selected evolutionary algorithms. The optimization problem considered in the paper as an example is the dimensional synthesis of the path generating four-bar mechanism. In order to solve this problem, three different artificial intelligence algorithms are employed in this study. [ABSTRACT FROM AUTHOR]

Published
2017
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