Przeglądaj {{ collection }} wg Autor "Wosiak, Agnieszka"

Teraz wyświetlane 1 - 3 z 3

Building Energy Use Intensity Prediction with Artificial Neural Networks
(Wydawnictwo Politechniki Łódzkiej, 2023) Stokfiszewski, Kamil; Sztoch, Przemysław; Sztoch, Ryszard; Wosiak, Agnieszka
In this paper the authors propose the construction and examine the performance of the artificial neural network for energy use intensity prediction for residential buildings. The network’s type is the standard multilayer perceptron and its training dataset contains the data of 768 residential buildings where the training pattern for an individual building consists of 8 parameters describing the building’s geometry along with its lighting and glazing conditions while the only output value is the building’s actual energy use intensity characteristics. Experimental study shows that the mean absolute percentage error of prediction of the energy use intensity evaluated for buildings data present in the network’s test set does not exceed 1.8%, what might be considered a highly satisfactory result.
On statistical analysis methods improving epidemiological studies
(Wydawnictwo Politechniki Łódzkiej, 2013) Wosiak, Agnieszka
Nowadays almost all the principles of diagnosis and treatment are determined by the statistical analysis of the observations made by practitioners. The analysis of medical data is therefore one of the most important elements that aﬀect the level of modern medical care. The research described in this paper aims to determine the characteristics of cardiac parameters in healthy children and in children with a diagnosis in arterial hypertension. Studies include children in the Lodz region. The purpose of the analysis is to determine risk factors of arterial hypertension and thus early diagnosis of children and as quickly as possible the inclusion of an appropriate treatment or observation. The analysis applies a number of methods, including descriptive analysis, grouping and statistical inference. The choice of methods is consistent with the requirements of the USMLE (The United States Medical Licensing Examination) and depends on the evaluated parameters. The research is carried out using professional statistical packages and the computer system designed and developed for this study. The use this system allows for the continuous process of research staging of new cases, which is a deﬁnite advantage when conducting epidemiological studies.
TEWI 2021 (Technology, Education, Knowledge, Innovation)
(Lodz University of Technology Press, 2021) Wojciechowski, Adam (Ed.); Napieralski, Piotr (Ed.); Lipiński, Piotr (Ed.); Lodz University of Technology. Faculty of Technical Physics, Information Technology and Applied Mathematics Institute of Information Technology.; Byczkowska-Lipińska, Liliana; Napieralska-Juszczak, Ewa; Duraj, Agnieszka; Guskos, Andreas; Poniszewska-Marańda, Aneta; Puchała, Dariusz; Mielczarek, Jakub; Wosiak, Agnieszka
The monograph TEWI 2021 is a direct response to the demand of the industry, which looks for research projects partners. On the one hand, the material submitted for this monograph will give opportunity for the academic community to present their competencies in the thematic areas of research they conduct. On the other hand, the industry will stimulate the research development of academic staff by outlining current and future areas in the field of modern technologies. The aim of this monograph is to popularize research areas in: 1. technology (information technologies), 2. education (new methods and IT solutions implemented in education), 3. knowledge (practical applications of physics and mathematics in technical sciences), 4. innovation (transfer of new ideas between science and business). [...]