The work demonstrates the process of developing a machine learning model for a system for monitoring and controlling the quality of predough at a bakery. This system will provide continuous analysis of the predough pa...
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A conceptual ontological model of Digital Crime has been developed, consisting of five non-empty classes. Identification and classification were carried out according to the experience of domestic and foreign experts....
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This paper presents an approach to implementing a cloud-based smart home monitoring system using the ESP32 microcontroller and ThingSpeak as the cloud platform. The proposed system provides an efficient solution for r...
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The goal of the study is to assess and compare the photovoltaic energy potential in the central-eastern part of the Bulgarian Danube region between the cities of Ruse and Silistra. To achieve this the solar radiation ...
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The paper demonstrates the process of developing mathematical models for identifying breakdowns of electric motors using machine learning methods. The authors have developed three mathematical models for identifying b...
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With the economic crisis that is looming over the world due to changes in the energy sector and a reduction in the supply of certain types of products, energy and resource efficiency issues are becoming more relevant ...
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The paper presents the implementation of a Continuous-Time Model Predictive control (CMPC) regulator for controlling an electrohydraulic servo system. The control object is a test bench consisting of three modules and...
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The share of renewable energy sources in the energy mix worldwide is gradually increasing. And even though they all have a highly variable nature, they can be forecasted statistically. The wind energy potential was in...
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This work presents an approach that uses normalized innovations squared (NIS) test to determine the order of a local polynomial trend model of a humidity sensor signal. Compared to the classical Akaike information cri...
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Sensor signal tracking has great practical importance for solving a number of problems such as data fusion and sensor integration in multi-sensor systems (MSS), robotics, fault detection (FD), and diagnosis, etc. The ...
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