Abstract: Methods, devices, and a system for prediction of Radio Access Network performance. A device for training a prediction model for predicting Radio Access Network performance obtains information associated with at least one network element; determines a tag for the at least one network element, wherein the tag is based on a network environment property of the at least one network element; and determines, based on the tag, a cluster to be associated with the at least one network element. The device determines a performance indicator value for the at least one cluster, creates a training set comprising the performance indicator value of at least one cluster; and trains a prediction model using the training set. The prediction model trained by the device can be used by a device for prediction of Radio Access Network performance.

Abstract: A foldable and portable electric vehicle for the transport of a single person comprises a foldable chassis with a support plate, a folding system for folding the chassis, a front driving wheel, a rear wheel, a foldable handlebar, an integrated system of command, control, monitoring and signaling, a mechanical brake on the rear wheel, a suspension on the rear wheel and a suspension on the front wheel, and a steering column.

Abstract: A foldable and portable electric vehicle for the transport of a single person comprises a foldable chassis with a support plate, a folding system for folding the chassis, a front driving wheel, a rear wheel, a foldable handlebar, an integrated system of command, control, monitoring and signaling, a mechanical brake on the rear wheel, a suspension on the rear wheel and a suspension on the front wheel, and a steering column.