Conduent Business Services, LLC

Bhupendra Singh Solanki

Vaibhav Rajan

Shailesh Vaya

Atul Singh

Aritra Dhar

Shubhi Sharma

Geetha Manjunath

Sakyajit Bhattacharya

Prathosh Aragulla Prasad

Stephen Craig Fullerton

Vijay Huddar

Katerina Sinclair

Abhishek Sengupta

Narayanan Unny Edakunni

Theja Tulabandhula

Narayanan Unny

Satya Narayan Shukla

Tuhin Bhattacharya

Poorvi Agrawal

Neeta Pande

James D Kirkendall

Systems, methods, and processing nodes predicting and perform preventive maintenance in a transportation system. Predicting and performing preventive maintenance in a transportation system includes determining historical data for electronic devices in the transportation system. Predicting and performing preventive maintenance also includes determining dependencies of the electronic devices based on the historical data. Predicting and performing preventive maintenance includes determining a likelihood of a fault in the target electronic device during a time period based on the dependencies of the electronic devices and a mutual probability of failure of the target electronic device and parent electronic devices associated with the target electronic device. Predicting and performing preventive maintenance also includes initiating preemptive maintenance on the target electronic device based on the likelihood of the fault.

Methods and systems for performing predictive maintenance on vehicle components to prevent cascading failure in a transportation system

A method, non-transitory computer readable medium and apparatus for predicting mortality of a current patient are disclosed. For example, the method includes receiving data associated with a plurality of different patients with known mortality outcomes, wherein the data includes a subset of data for each one of a plurality of different measurement timepoints for each one of the plurality of different patients, calculating n number of classifiers, wherein n is equal to a number of the plurality of different measurement timepoints, receiving data associated with the current patient at an i-th measurement timepoint, predicting the current patient has a high mortality risk based on an output of the i-th classifier of the n number of classifiers and transmitting a signal to a health administration server to cause an alarm to be generated in response to the high mortality risk that is predicted.

Method and apparatus for predicting mortality of a patient using trained classifiers

The disclosed embodiments illustrate a method for real time management of transportation services. The method includes determining a discrete control process with respect to a plurality of states of a vehicle. Each state in the plurality of states corresponds to a station and a count of vacant seats in the vehicle at the station. A set of rules is generated to maximize a key performance parameter of the vehicle, based on at least the determined discrete control process. A valuation parameter is determined, in real time, for one or more vacant seats in the vehicle at each of one or more subsequent stations based on the generated set of rules. The determined valuation parameter for the one or more vacant seats corresponding to each of the one or more subsequent stations is transmitted to a plurality of mobile computing devices associated with a plurality of commuters.

Method and system for real time management of transportation services

The disclosed embodiments illustrate methods for displaying targeted content on a digital signage board (DSB). The method includes receiving encrypted profile information from each of a plurality of user-computing devices when the plurality of user-computing devices is in a proximity range of the DSB, wherein the DSB is associated with one or more products and/or services. The method further includes aggregating the encrypted profile information received from each of the plurality of user-computing devices to generate an aggregated encrypted profile. Further, the method includes transmitting the aggregated encrypted profile to a content server, wherein the content server decrypts the aggregated encrypted profile to select the targeted content from a content repository associated with the one or more products and/or services, wherein the targeted content is displayed on the DSB.

Method and system for displaying targeted content on a digital signage board

A method and a system for predicting admission of a human subject to a first ward in a medical center are disclosed. A patient dataset is generated based on at least a measure of one or more physiological parameters associated with one or more first human subjects and a first information pertaining to the admission of each of the one or more first human subjects to the first ward. For a first human subject of the one or more first human subjects, a first score at each of the one or more first time instants is determined. Further, one or more second time instants from the one or more first time instants are identified. Further, a second score at each of the one or more second time instants is determined. In an embodiment, the first classifier is trained based on at least the second score, and the first information.

Method and system for predicting admission of a human subject to a ward in a medical center

What is disclosed is a system and method for forecasting and imputing an unknown vital measurement of a patient. Temporally successive patient vital measurements are received which comprise irregularly sampled observations {y, . . . , y}, where ydenotes the jobservation at time t, and N is the number of samples. The vital measurements are then provided to a model trained using historical data of patient vital measurements. The model generates a parameter set &#x3b8;=(A,B,C), where A is a state transition matrix, B is a control matrix, and C is a matrix which maps state-space variables to observation variables. The parameters are used to obtain state-space variable zwhich, in turn, is used to forecast an unknown observation yor to impute an unknown observation y, where 1&#x3c;t&#x3c;N. The historical data is then updated with the forecasted observation yor the imputed unknown observation y.

Forecasting a patient vital measurement for healthcare analytics

A method and a system are provided for interaction with a digital signage board. An electronic device receives, via a transceiver, a first metadata associated with a first grid displayed on the digital signage board that is configured to display a plurality of multimedia content items in a plurality of first cells of the grid. The electronic device receives, via the transceiver, a second metadata associated with the plurality of multimedia content items. The one or more processors in the electronic device display a second grid comprising a plurality of second cells that are based on the first metadata and the second metadata. The one or more processors in the electronic device further update a property associated with at least one of the plurality of second cells based on a user profile stored in the electronic device and the second metadata.

Methods and systems for interaction with digital signage board

A method and a system for receiving targeted content are disclosed. In an embodiment, in a mobile device at least a first metadata corresponding to a first content displayed on a digital signage board is received, based on a predetermined action performed by the mobile device. The first metadata comprises at least a location of the digital signage board. A second metadata corresponding to one or more product categories associated with one or more products in vicinity of the digital signage board is determined, based on the location of the digital signage board. One or more user preferences are determined based on the first metadata and the second metadata. The targeted content is received on the mobile device based on the one or more user preferences.

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Madhya Pradesh, India

Bhupendra Singh Solanki