internet of things (IoT)

AI/ML INTEGRATION INTO NOISE POLLUTION MONITORING SYSTEMS FOR RAIL TRANSPORT AND SMART CITIES

Noise pollution is a significant environmental and social problem for rail transport and urban areas. This paper describes an approach to noise monitoring based on the integration of artificial intelligence (AI) and machine learning (ML) into acoustic data collection and analysis systems. The SVAN 958A spectral analyzer was used as the measuring equipment, which allows obtaining accurate noise data in real time.

Modeling the Block Formation Process in Blockchain and Its Impact on Scalability

The article investigates the process of block formation in blockchain networks and the impact of node network architecture and consensus algorithms on their scalability and performance. Analysis of blockchain system scalability is important due to problems that arise when network load increases, particularly the increase in the number of block forks and transaction confirmation times. The research focuses on studying the impact of network delays and the choice of consensus algorithm on the performance and scalability of blockchain networks.

Toward new data for IT and IoT project management method prediction

Selecting the best project management method at the workplace helps to deliver a high-quality product to the customer.  Hence, the need for good knowledge of management methods, their characteristics, advantages, and disadvantages, is necessary to be able to select the best for the specific project.  However, until now, no large dataset for Machine Learning and decision-making model, model or system has been proposed to help project managers to the most efficient method adapted to the constraints of their projects.  This work develops the construction of the dataset for agile and IoT projec