Accenture Global Solutions Limited

Romesh Viswanath

Deepak A Sharma

Ram Mohen Venkatakrishnan

Karthik Srinivasan

Ashok Mishra

Chandradeep Mallick

Ajit Thite

Amit Tahilramani

Ram Mohen Mohen Venkatakrishnan

Abhijit Avinash Yadkikar

Ramanan Ramanathan

Systems and methods for providing immersive learning solutions in the context of application process flows. In one example, legacy training documents can be submitted to the system and classified and sorted based on topic and granularity. The sorted information can then be assigned to one or more learning medium buckets that will define the type of learning course experience to be generated. For example, information about a first topic at the words and sentences levels can be used to generate an interactive question-and-answer avatar that can intelligently respond to users and assist during their use of the application.

Immersive learning experiences in application process flows

The present disclosure provides a clustering device configured to detect varying density. The clustering device may receive a set of parameters (e.g., a density parameter specifying a plurality of density values, a size parameter, and a node parameter that includes information associated with a plurality of nodes) for identifying clusters. The clustering device may determine a distance between different pairs of nodes of the plurality of nodes and identify candidate nodes of the plurality of nodes based on the distance determined for the different pairs of nodes and the size parameter. Candidate nodes may be assigned to a candidate cluster that may be evaluated against the density parameter to determine whether a density of the candidate cluster satisfies at least one of the plurality of density values. A cluster may be identified based on whether the candidate cluster satisfies at least one of the plurality of density values.

Systems and methods for implementing density variation (DENSVAR) clustering algorithms

A device may generate a hypergraph for a plurality of cells included in a communications network. The device may identify one or more parameters for allocating operating transmission frequencies to the plurality of cells. The plurality of cells may correspond to vertices of the hypergraph, and one or more cumulative transmission interference regions, associated with the plurality of cells, may correspond to hyperedges of the hypergraph. The device may generate a constraint model based on the hypergraph and the one or more parameters. The device may determine, using a quantum solver, one or more minimum energy states of the constraint model. The one or more minimum energy states may correspond to respective operating transmission frequency allocation configurations for the plurality of cells. The device may assign, based on a minimum energy state of the one or more minimum energy states, operating transmission frequencies to the plurality of cells.

Cell resource allocation

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Telangana, India

Romesh Viswanath