The present work aims to tackle the crucial objective of forecasting values for a range of
financial market indices in order to maximize income while minimizing potential losses. This …

This master thesis explores the transformative potential of Large Language Models (LLMs)
in enhancing business processes across various industries, with a specific focus on …

As viruses undergo rapid evolution, the SARS-CoV-2 which is known as Covid-19 has
persisted in human populations for approximately three and a half years rapidly, continually …

Este estudo teve como objetivo desenvolver modelos de aprendizado de máquina para
identificar e prever ataques de phishing por meio de URLs, trazendo sua contribuição ao …

In this study, the effects of the machining type on the notch of a specimen, made of 7075-T6
aluminum alloy, have been investigated. The CNC machining and waterjet cutting are used …

Tato práce se zaměřuje na zavedení, implementaci a vyhodnocení problému close enough
multi traveling salesman problem (CEmTSP). Problém spočívá v optimalizaci celkové ujeté …

Maintaining resilience of resources and their ability to expand in data centers has become a
prediction of future workloads which is very important and indispensable. Resource requests …

The world is facing a number of challenges such as climate change, diminishing soil quality
and stagnant crop yields, which call for scalable solutions to ensure food security for a …

Обработка и анализ изображений световой микроскопии для задач автоматизации и
оптимизации медицинской диагностики является актуальным направлением развития …

This study deals with a number of aspects for the interpretability of nonlinear models which
even after the complete training by neuron networks restrict the researcher's ability to obtain …