Abstract: A server for machine learning model based recommendations for vehicle remote application is provided. The server includes circuitry configured to retrieve customer subscription data associated with a first set of customers related to a set of vehicles. The set of vehicles are controlled with one or more remote applications associated with the server. The circuitry extracts the first set of features from the customer subscription data and trains a machine learning model based on the first set of features and a first feature of the first set of features. The first feature corresponds to a paid subscription of a remote application. The circuitry determines an importance score for each of the first set of features based on the trained machine learning model. The circuitry generates recommendation information related to the remote application, based on the determined importance score and transmits the recommendation information to electronic devices associated with the server.

Abstract: A computer-implemented method, a computer program product for predictive device maintenance, and system for a plurality of Internet of Things (IoT) devices. One embodiment may comprise generating a risk score as a weighted measure of input data about an Internet of Things (IoT) device and a frequency of failure of the IoT device, determining an optimal time to trigger a predictive notification pertaining to the IoT device using the risk score, and at the determined optimal time, issuing the predictive notification. The risk score in some embodiments may indicate an estimate of loss of function of the IoT device.

Abstract: The present invention relates to a method for the detection of potentially pathogenic agents and/or capable of causing deterioration in a plant sample, representative of one or several batches of plant product, characterized in that it comprises the concentration of a plant sample by centrifugation and the analysis of the presence or amount of potentially pathogenic agents and/or capable of causing deterioration in the concentrated sample obtained. Likewise, the present invention relates to a system for detection and analysis of potentially pathogenic agents and/or capable of causing deterioration in a plant sample to carry out said method.