Titlebook: Data Analytics in System Engineering; Proceedings of 7th C Radek Silhavy,Petr Silhavy Conference proceedings 2024 The Editor(s) (if applica

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Classical Topics in Discrete Geometryhe identification of malignant lung nodules from Chest radiographs is a frequently neglected domain due to the limited capability of X-ray imaging in capturing minute entities. This study employed a variety of deep-learning models to identify malignant nodules in chest X-ray images. The study employ

constellation

Information Retrieval from Black Holesuches the fields of medicine such as obstetrics and mortality in it. Currently, there is high maternal and fetal mortality at birth due to limited resources, which could have been prevented. One of the most accessible and simple means of assessing fetal health is the cardiogram (CGT). It can be used

颠簸地移动

Information Retrieval from Black Holesmers was taken for the work, which contained 22 attributes related to both the services provided by the company and the passengers themselves. Two methods, Kohonen map method and decision tree method were initially used for the analysis. Kohonen maps were used to divide the data into clusters, and c

Cursory

Information Retrieval from Black Holeshe participants were divided into two groups: those who lived in areas with high levels of air pollution and those who lived in areas with low levels of air pollution. The study analyzed data on patients with lung cancer, including their age, gender, exposure to air pollution, alcohol consumption, d

Traumatic-Grief

Information Retrieval from Black Holesication of metageosystems for the detection of natural and natural-technogenic processes using the example of fires, as well as the design and development of a geoportal system for monitoring and visualizing the situation with fires. The strengths and weaknesses of the machine learning models used,

Abduct

Information Retrieval from Black Holesthese changes there is a need for personality-oriented, individual learning. The merging of e-learning and individual learning allows to automate the process of developing individual educational trajectories, which implies a personal way to realize the personal potential of each student in joint act

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Classical and Quantum Computingudied and calls for enhanced forecasting techniques. In addition to economic benefits, proper glycemic control also functions as a preventative measure against potential health complications. This paper aims to provide an accurate and reliable approach to predicting glycemic control in individuals a