… enable EVs to replace virtually all privately owned and commercial vehicles as early as 2030.…
share for autonomous vehicles and less than 10% for shared vehicles (autonomous or not).…

… public, encouraging the public to be law-abiding. In addition, under the pressure of being
supervised by the public, the judge will pay … actual penalty deviates from forecast penalty, the …

… And then a prediction model based on BP neural network of … The mean square error between
the predicted and the … the mean square error between the predicted and the test value is as …

… prediction or understanding based on the relevant geographic knowledge. Consequently,
the paper discusses issues of VGE cognition and representation from two aspects. First, the …

… do have significant relevance in predicting trust. Further, it may be noted that among the
predictors of trust in chatbots, ease of use is the most significant predictor, followed by perceived …

… For the requirement of studying language longitudinally, this paper is also intended to
predict the vitality of “Jiang Zhen” and “Lao Siji”. “Jiang Zhen” is one of the few phrases that is …

… was bent, the front of the test car completely collapsed, and the engine room was seriously
damaged, but the AB column looked intact and the vehicle did not catch fire. In addition, the …

… possible, a novel autonomous vehicle path tracking based on model predictive control (MPC…
for high-speed automated vehicles considering the constraints of vehicle physical limits, in …

… predict, but it is imminent that machines will outperform humans at everything and the …
North American researchers predicted that AI will outperform humans in 74 years, while …

… Next, we compare the predictive power on the test set of high R2 models (SGaID, SGqID
+ SGaID, SGqID + SGtext, SGaID + SGtext and the full model). Figs.5∼8 show the …