Machine learning and computational intelligence are two methods for achieving this (CI);
traditional operational research methods are combined with machine learning-based …

The paper considers independent reinforcement learning (IRL) for multi-agent collaborative
decision-making in the paradigm of federated learning (FL). However, FL generates …

Dibenzyltoluene (H0-DBT), a Liquid Organic Hydrogen Carrier (LOHC), presents an
attractive solution for hydrogen storage due to its enhanced safety and ability to store …

The idea that exists on the control of the internet acknowledges that the appliances and
systems that have been examined will only work within a standard integrated generic …

Congestion in large and growing cities is a significant issue that harms the economy,
travelers, and the ecosystem. Forecasting the degree of congestion on a road network in …

Traffic congestion in urban areas has become a major worldwide problem. As an important
direction of the Intelligent Transportation System (ITS), traffic-speed prediction can help …

The investigation of vehicle defects, which is generally led by the National Highway Traffic
Safety Administration (NHTSA) in the US, is critical to the continued trust of the general …

In the constantly developing realm of the Internet of Things (IoT), guaranteeing fast data
transfer and a smooth user experience is critical. In IoT contexts with limited resources …

The paper considers independent reinforcement learning (IRL) for multi-agent decision-
making process in the paradigm of federated learning (FL). We show that FL can clearly …

Open government data (OGD) are provided by the public sector and governments in an
open, freely accessible format. Among various types of OGD, dynamic data generated by …