An Introduction to MultiAgent Systems.

The need to study the demand for bicycle sharing based on regression models of data analysis and prediction of results was investigated. To substantiate possibility of work of the main processes of the information systems, UML diagrams were created. To determine the peaks in demand for bicycles in a certain period of time, it was proposed to use regression models of data analysis. The proposed decision trees were recommended for modeling new datasets in Smart Cities, especially Lviv.

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Analysis of the Demand for Bicycle Use in a Smart City Based on Machine Learning.

This work offers a model for predicting the risk of a particular disease in a particular patient. This work is aimed at improving practical skills in implementing machine-learning methods, as well as creating a model that would be based on an appropriate ML algorithm and give a clear forecast of the risk of cancer in women.

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Forecasting the Risk of Cervical Cancer in Women in the Human Capital Development Context Using Machine Learning.

The busload on the route is modeled, the main statistical characteristics of the process on route number 10 were calculated, and the optimal number of buses on the route is calculated, which would maximize the total number of passengers per flight. The developed program allows us to calculate the optimal number of buses on the route according to the previously defined criteria in a certain period of the day on weekdays and weekends (including holidays). Diagrams of distribution of passengers and their dependence on the number of buses and their schedules are given in the work.

/pdf/optimization-model-of-the-buses-number-on-the-route-based-on-1p5zt1n68p.pdf

Optimization Model of the Buses Number on the Route Based on Queueing Theory in a Smart City.

/pdf/mbti-principles-in-detecting-emotional-manipulators-among-1xd5518csx.pdf

MBTI Principles in Detecting Emotional Manipulators among Digital Platforms Users.

The system for backing up the data is designed. Client software works on the computer of user, takes all the necessary files for backup, and turns them into Stream of bytes. Then breaks it into blocks (from 32 KB to 64KB) using a Rabin algorithm. It is based on hash ring that is absorbing every incoming byte if the current hash mask or equal to a certain reach 64KB, there is division committed. This approach helps to avoid is coping all data if the content of a file has changed in separately. For each data block client software calculates the

Yuriy Slyusarchuk

Papers

Development of Intellectual System for Data De-Duplication and Distribution in Cloud Storage