This paper set out to investigate the usefulness of solving collision avoidance problems with the help of deep reinforcement learning in an unknown environment, especially in compact spaces, such as a narrow corridor.This research aims to determine whether a deep reinforcement learning-based collision avoidance method is superior to the traditional

Summary: Dopaminergic (DA) neurons have been implicated as key targets in neurological disorders, notably those involving locomotor impairment, and are considered to be highly vulnerable to mitochondrial dysfunction, a common feature of such diseases.Here we investigated a Drosophila model of locomotor disorders in which functional impairment is br

The first results of a new approach for implementing operational monitoring tool to control the performance of forest mechanisation chains are proposed and discussed.The solution is based on Air pods case Global Navigation Satellite System (GNSS) tools that are the core of a datalogging system that, in combination with a specific inference-engine,

On a global scale, millions of tons of diverse agricultural residues are generated annually.Most of these wastes are burned or dumped in landfills, which causes environmental pollution.Addressing environmental issues arising from agricultural waste materials, in addition to mitigating heating and Oven Selector Switch cooling expenses in the constru

Overlap syndrome, which is known as the coexistence of chronic obstructive pulmonary disease (COPD) and obstructive sleep apnea (OSA), was first defined by Flenley.Although it can refer to concomitant occurrence of any of the pulmonary diseases and OSA, overlap syndrome is commonly considered as the coexistence of OSA and COPD.This disease has uniq