The present disclosure relates to systems and methods for matching electronic activities with record objects based on entity relationships. The method can include accessing a plurality of electronic activities, identifying an electronic activity, identifying a first participant associated with a first entity and a second participant associated with a second entity, determining whether a record object identifier is included in the electronic activity, identifying a first record object of the system of record that includes an instance of the record object identifier, and storing an association between the electronic activity and the first record object. The method can include determining a second record object corresponding to the second entity, identifying, using a matching policy, a third record object linked to the second record object and identifying a third entity, and storing, by the one or more processors, an association between the electronic activity and the third record object.

The present disclosure relates to systems and methods for matching electronic activities with record objects based on entity relationships. The method can include accessing a plurality of electronic activities, identifying an electronic activity, identifying a first participant associated with a first entity and a second participant associated with a second entity, determining whether a record object identifier is included in the electronic activity, identifying a first record object of the system of record that includes an instance of the record object identifier, and storing an association between the electronic activity and the first record object. The method can include determining a second record object corresponding to the second entity, identifying, using a matching policy, a third record object linked to the second record object and identifying a third entity, and storing, by the one or more processors, an association between the electronic activity and the third record object.

The present disclosure describes improvements in optimization systems. During an optimization loop, an advanced objective function is used to determine an objective value, a specification metric, and a rule coverage metric for a particular solution. The specification metric characterizes compliance of the solution with certain formal specifications. The rule coverage metric characterizes the degree to which all rules (or a particular rule) are tested during testing of the system. The objective value and metrics may influence future operation of the optimization loop.

A system and method for selecting alternate global positioning system coordinates is provided. The system generally comprises a geolocation device, processor operably connected to the geolocation device, and non-transitory computer-readable medium having instructions stored thereon. The instructions instruct the system to select alternate GPS coordinates based off geospatial data received by the processor as well as parameters of the system that may limit the alternate GPS coordinates in which the system may select. The parameters may be selected within a user interface of the system.

A system and method for selecting alternate global positioning system coordinates is provided. The system generally comprises a geolocation device, processor operably connected to the geolocation device, and non-transitory computer-readable medium having instructions stored thereon. The instructions instruct the system to select alternate GPS coordinates based off geospatial data received by the processor as well as parameters of the system that may limit the alternate GPS coordinates in which the system may select. The parameters may be selected within a user interface of the system.

Techniques for tuning a machine learning algorithm using automatically determined optimal hyperparameters are described. An exemplary method includes receiving a request to determine a search space for at least one hyperparameter of a machine learning algorithm; determining, according to the request, optimal hyperparameter values from the search space for at least the one hyperparameter of the machine learning algorithm based on an evaluation of hyperparameters from the same machine learning algorithm on different datasets; and tuning the machine learning algorithm using the determined optimal hyperparameter values for the at least one hyperparameter of the machine learning algorithm to generate a machine learning model.

Systems and methods of improving the operation of a transaction network and transaction network devices are disclosed. An online purchase autofill plugin includes various modules and engines. The fields of online forms may be identified and the fields of online forms may be automatically filled. The user experience may be improved, and data security enhanced so that the transaction network more properly functions according to approved parameters, such as protecting the integrity of sensitive data.

Systems and methods of improving the operation of a transaction network and transaction network devices are disclosed. An online purchase autofill plugin includes various modules and engines. The fields of online forms may be identified and the fields of online forms may be automatically filled. The user experience may be improved, and data security enhanced so that the transaction network more properly functions according to approved parameters, such as protecting the integrity of sensitive data.

In some embodiments, an apparatus and a system, as well as a method and article, may operate to identify one or more multiphase fluid flow regimes as an output of fuzzy logic processing, with inputs to the fuzzy logic processing comprising a set of physical parameter values as attributes at a location in a fluid flow that are determined by at least one of measurement or simulation, and to operate a controlled device based on the output. Additional apparatus, systems, and methods are disclosed.

In some embodiments, an apparatus and a system, as well as a method and article, may operate to identify one or more multiphase fluid flow regimes as an output of fuzzy logic processing, with inputs to the fuzzy logic processing comprising a set of physical parameter values as attributes at a location in a fluid flow that are determined by at least one of measurement or simulation, and to operate a controlled device based on the output. Additional apparatus, systems, and methods are disclosed.