Abstract: Vehicular maintenance is predicted using real time telematics data and historical maintenance data. Different statistical models are used, and an intersecting set of results is generated. Environmental weather may also be used to further refine predictions.

Abstract: A green ceramic composition comprising (i) ceramic particles, (ii) a synthetic polymeric binder, the synthetic polymeric binder having (a) monomeric units deriving from a soft monomer, (b) monomeric units deriving from a hard non-acidic monomer, (c) monomeric units deriving from an acidic monomer, and (d) monomeric units deriving from a hydroxy-functionalized monomer, and (iii) water.

Abstract: Vehicular maintenance is predicted using real time telematics data and historical maintenance data. Different statistical models are used, and an intersecting set of results is generated. Environmental weather may also be used to further refine predictions.

Abstract: A proppant having a high alumina content, low iron content and low alkali content may be prepared from a raw bauxite ore containing greater than 60 wt. % tri-hydrate alumina. The proppant may further be prepared from calcined bauxite having greater than 80 wt. % tri-hydrate alumina.

Abstract: Vehicular maintenance is predicted using real time telematics data and historical maintenance data. Different statistical models are used, and an intersecting set of results is generated. Environmental weather may also be used to further refine predictions.

Abstract: Vehicular maintenance is predicted using real time telematics data and historical maintenance data. Different statistical models are used, and an intersecting set of results is generated. Environmental weather may also be used to further refine predictions.

Abstract: A proppant having a high alumina content, low iron content and low alkali content may be prepared from a raw bauxite ore containing greater than 60 wt. % tri-hydrate alumina. The proppant may further be prepared from calcined bauxite having greater than 80 wt. % tri-hydrate alumina.

Abstract: Vehicular maintenance is predicted using real time telematics data and historical maintenance data. Different statistical models are used, and an intersecting set of results is generated. Environmental weather may also be used to further refine predictions.

Abstract: Vehicular maintenance is predicted using real time telematics data and historical maintenance data. Different statistical models are used, and an intersecting set of results is generated. Environmental weather may also be used to further refine predictions.

Abstract: Concepts and technologies are disclosed herein for a vehicle battery data analysis service. A processor can execute a vehicle battery data analysis service. The processor can generate a request to execute a load test at a vehicle and transmit the load request to a vehicle diagnostic system located at the vehicle. The processor can obtain diagnostic data generated by the vehicle diagnostic system. The diagnostic data can include test data that indicates a load of a battery of the vehicle and vehicle data that identifies the vehicle. The processor can update fleet data based upon the diagnostic data.

Abstract: Concepts and technologies are disclosed herein for a vehicle battery data analysis service. A processor can execute a vehicle battery data analysis service. The processor can generate a request to execute a load test at a vehicle and transmit the load request to a vehicle diagnostic system located at the vehicle. The processor can obtain diagnostic data generated by the vehicle diagnostic system. The diagnostic data can include test data that indicates a load of a battery of the vehicle and vehicle data that identifies the vehicle. The processor can update fleet data based upon the diagnostic data.

Abstract: Concepts and technologies are disclosed herein for a vehicle battery data analysis service. A processor can execute a vehicle battery data analysis service. The processor can generate a request to execute a load test at a vehicle and transmit the load request to a vehicle diagnostic system located at the vehicle. The processor can obtain diagnostic data generated by the vehicle diagnostic system. The diagnostic data can include test data that indicates a load of a battery of the vehicle and vehicle data that identifies the vehicle. The processor can update fleet data based upon the diagnostic data.

Abstract: Vehicular maintenance is predicted using real time telematics data and historical maintenance data. Different statistical models are used, and an intersecting set of results is generated. Environmental weather may also be used to further refine predictions.

Abstract: Concepts and technologies are disclosed herein for a vehicle battery data analysis service. A processor can execute a vehicle battery data analysis service. The processor can generate a request to execute a load test at a vehicle and transmit the load request to a vehicle diagnostic system located at the vehicle. The processor can obtain diagnostic data generated by the vehicle diagnostic system. The diagnostic data can include test data that indicates a load of a battery of the vehicle and vehicle data that identifies the vehicle. The processor can update fleet data based upon the diagnostic data.