Abstract: An apparatus for a communication device, the apparatus may include a processor configured to: obtain channel metrics for a plurality of radio communication channels, each obtained channel metric is associated with a respective radio communication channel of the plurality of radio communication channels, generate a plurality of channel hopping sequences, each channel hopping sequence is representative of an allocation of the plurality of radio communication channels for a plurality of time slots, wherein a number of time slots allocated for each radio communication channel within each channel hopping sequence is based on the respective obtained channel metric, and select one of the plurality of channel hopping sequences based on a predefined criterion to communicate with a further communication device.

Abstract: A method for targeted advertisement includes transmitting a pre-filter to the user device, responsive to contextual information from a user device, to determine, using a processor, one or more inferences based on physical browsing information, collected at the user device, in compliance with one or more privacy policies of the user. The method also includes receiving one or more inferences determined by the pre-filter from the user device and transmitting one or more targeted advertisements to the user device based on one or more inferences.

Abstract: A device receives and processes current, forecasted, and historical entity information, associated with an entity, to generate processed information. The device calculates an operating enterprise value for the entity based on the processed information and bifurcates the operating enterprise value into a current value associated with current operations of the entity and a future value associated with investments of the entity. The device determines a growth rate based on the current value and the future value, and processes the current value, the future value, and the growth rate, with a first model, to determine underlying drivers of total returns for stakeholders associated with the entity. The device processes the underlying drivers of total returns for stakeholders and revenue, costs, assets, and liabilities associated with the entity, with a second model, to identify analytics data for the entity, and performs actions based on the analytics data identified for the entity.

Abstract: A device receives and processes current, forecasted, and historical entity information, associated with an entity, to generate processed information. The device calculates an operating enterprise value for the entity based on the processed information and bifurcates the operating enterprise value into a current value associated with current operations of the entity and a future value associated with investments of the entity. The device determines a growth rate based on the current value and the future value, and processes the current value, the future value, and the growth rate, with a first model, to determine underlying drivers of total returns for stakeholders associated with the entity. The device processes the underlying drivers of total returns for stakeholders and revenue, costs, assets, and liabilities associated with the entity, with a second model, to identify analytics data for the entity, and performs actions based on the analytics data identified for the entity.