In this work, an embedded system for fault detection and diagnosis of photovoltaic (PV)
modules based on infrared thermographic images and deep conventional neural networks …

Digitalization and the use of computers in the process of education has been in place for
years. Recently we have also seen a growing interest of Artificial Intelligence in the …

Federated learning (FL) is a key technique for training machine learning models in a
collaborative and privacy-promoting fashion. FL is based on the iterative training of a shared …

In the intersection of the Internet of Things (IoT) and Machine Learning (ML), the choice
between high-level and low-level programming libraries presents a significant dilemma for …

Due to the proliferation of mobile, IoT, and Interlayer fog computing devices, the number of
requests to the cloud network has increased. Today, cloud networks, new virtualization …

Demand for rapid development of computerized reporting of the contract, the framework
program tireless identity of a generalization of electronic records in the form of slogans, is a …

In this study, an on-working structural health monitoring system for impact detection on
remote piloted vehicle (RPV) airplane is proposed. The approach is based on the …

In text mining, clustering and classification are the most important techniques to extract
information from textual data. These are techniques which allow us to identify similar groups …

Management control and monitoring of production activities in intelligent environments in
subway mines must be aligned with the strategies and objectives of each agent. It is …

In the intersection of the Internet of Things (IoT) and Machine Learning (ML), the choice
between high-level and low-level programming libraries presents a significant dilemma for …