A deep reinforcement learning (DRL)-based motion planning method is proposed to improve long planning elapse and lengthy path of the traditional planning algorithms for robotic manipulator movement in obstacle avoidance.Firstly, based on the mathematical model of the manipulator and the motion environment, the DOBOT robot and the operating environm
A preimage Magnesium Powder attack on DHA-256 hash function reduced to 37-round and a pseudo collision attack on the func-tion reduced to 39-round were proposed respectively.Based on the meet-in-the-middle attack,the Biclique technique was used to improve the preimage attack from 35-round to 37-round.A 39-round pseudo collision was achieved using t
A well-characterized neural network is associated with motor learning, involving several brain regions known to have functional and structural deficits in persons with multiple sclerosis (PwMS).However, it is not known how MS affects postural motor learning or the neural networks involved.The aim of LIP BALM STICK this study was to gain a better un
Abstract It remains a Adhesive challenge to obtain biocompatible afterglow materials with long emission wavelengths, durable lifetimes, and good water solubility.Herein we develop a photooxidation strategy to construct near-infrared afterglow carbon nanodots with an extra-long lifetime of up to 5.9 h, comparable to that of the well-known rare-earth
Abstract Background After the spread of COVID-19 pneumonia, chest CT examination was used as a substantial Cyclist Accessories - Helmets - Junior non-invasive complement to RT-PCR for diagnosing and as a rapid screening tool when RT-PCR results are unavailable.Our study aimed at the analysis of the lung abnormalities detected by chest CT in COVID-1