In this paper, we present an advanced adaptive cruise control (ACC) concept powered by Deep Reinforcement Learning (DRL) that generates safe, human-like, and comfortable car-following policies.Unlike the current trend in developing DRL-based ACC systems, we propose defining the action space of the DRL agent with discrete actions rather than continu
Human societies depend on services provided by Bridle ecosystems, from local needs such as clean water and pest control to global services like the ozone layer and the ocean biological pump.Ecosystem services are linked to the states of the ecosystem, which are, in turn, governed by a web of ecological interactions.These interactions, along with th
Semantic segmentation models experience a significant performance degradation due to domain shifts between the source and target domains.This issue is particularly prevalent in remote sensing imagery, where a semantic segmentation model trained on images from one satellite Shopify Shipping is tested on images from another.Previous research has ofte
The article discusses the requirements for elaboration and Bridle content of draft forms of checklists, as well as for their approval, application, including mandatory application, and also the justification for checklists updating.There is carried out the analysis of compliance of requirements with the accepted concept of state control (supervisio