Distributed Ledger Platform for Improved Return Logistics

    公开(公告)号:US20220358459A1

    公开(公告)日:2022-11-10

    申请号:US17308198

    申请日:2021-05-05

    摘要: Aspects of the disclosure relate to return logistics. A computing platform may process a first request, resulting in first information indicating a first transfer of resources from a buyer of an item to a seller. The computing platform may record, in a distributed ledger, the first information. The computing platform may receive a second request corresponding to another sale of the item, and may process the second request, which may result in second information indicating a second transfer of resources from another buyer to the seller. The computing platform may record, in the distributed ledger, the second information, and may cause the item to be sent from the buyer to the other buyer. The computing platform may identify, using the distributed ledger, that the item has been received by the other buyer, and may cause a third transfer of resources from the seller to the buyer.

    Machine learning platform for real time occupancy forecasting and resource planning

    公开(公告)号:US11461713B1

    公开(公告)日:2022-10-04

    申请号:US16988876

    申请日:2020-08-10

    摘要: Aspects of the disclosure relate to using machine learning for resource planning. A computing platform may detect an occupancy modification event for a physical space. Based on detecting the occupancy modification event, the computing platform may send commands directing display of a data collection prompt to end user devices, which may prompt for work to be performed by users of the end user devices in the physical space during a first day. Using natural language processing, the computing platform may analyze user input information and other occupancy data to determine whether or not the users of the end user devices have permission to occupy the physical space during the first day. The computing platform may cause the end user devices to display a resource management interface indicating whether or not the users of the end user devices have valid permission to physically occupy the physical space during the first day.

    System and Method for Ascertaining Data Labeling Accuracy in Supervised Learning Systems

    公开(公告)号:US20220222568A1

    公开(公告)日:2022-07-14

    申请号:US17144366

    申请日:2021-01-08

    IPC分类号: G06N20/00 G06F16/23

    摘要: Aspects of the disclosure relate to improving training data used for model generation. The computing platform may receive, from one or more data sources, a labelled data set. The computing platform may apply, to the labelled data set, an unsupervised learning algorithm, which may result in a clustered data set corresponding to the labelled data set. The computing platform may compare, for each data point in the labelled data set, corresponding clustering information and labelling information to identify discrepancies. The computing platform may flag, for data points with identified discrepancies between the corresponding clustering information and labelling information, a data labelling error. Using data points without identified discrepancies between the corresponding clustering information and labelling information, the computing platform may train a supervised learning model. The computing platform then may store the trained supervised learning model.

    Evaluating Supervised Learning Models Through Comparison of Actual and Predicted Model Outputs

    公开(公告)号:US20220222546A1

    公开(公告)日:2022-07-14

    申请号:US17144299

    申请日:2021-01-08

    IPC分类号: G06N5/04 G06N20/00

    摘要: Aspects of the disclosure relate to evaluating supervised learning models. A computing platform may receive initial training data, train supervised learning models using the initial training data, and form a composite model based on the supervised learning models. The computing platform may receive additional training data and corresponding prediction parameters, indicating actual outcomes. The computing platform may input the additional training data into the composite model to generate model-predicted outcome data, and may compare the model-predicted outcome data to the actual outcomes. Based on results of the comparison of the model-predicted outcome data to the actual outcomes, the computing platform may score each of the supervised learning models to reflect corresponding reliability levels. The computing platform may store a matrix relating the scores to their corresponding supervised learning models, which may cause the computing platform to weight results obtained from each supervised learning model when applying the composite model.

    Data Source Evaluation Platform for Improved Generation of Supervised Learning Models

    公开(公告)号:US20220222486A1

    公开(公告)日:2022-07-14

    申请号:US17144345

    申请日:2021-01-08

    IPC分类号: G06K9/62 G06N20/00

    摘要: Aspects of the disclosure relate to evaluating sources of training data for model generation. A computing platform may receive, from one or more data sources, a labelled data set. The computing platform may apply, to the labelled data set, an unsupervised learning algorithm, resulting in a clustered data set. The computing platform may compare, for each data point in the labelled data set, corresponding clustering information and labelling information to identify discrepancies. The computing platform may flag, for data points with identified discrepancies between the clustering information and labelling information, a labelling error. The computing platform may grade, based on the flagged labelling errors, each of the one or more data sources. Using remaining data of the labelled data set, not flagged with labelling errors, the computing platform may train a supervised learning model by weighting the remaining data based on: a corresponding data source and its grade.

    System and method for securing a network against malicious communications through peer-based cooperation

    公开(公告)号:US11386197B1

    公开(公告)日:2022-07-12

    申请号:US17146145

    申请日:2021-01-11

    发明人: Maharaj Mukherjee

    摘要: A computer system configured to execute an application includes a memory and a processor. The memory stores lists of trusted, malicious, and peer applications. Each application of the trusted list is associated with a maliciousness probability that is less than a lower threshold. Each application of the malicious list is associated with a maliciousness probability that is greater than an upper threshold. The peer list includes a peer application installed on a second computer system, which stores a second list of malicious applications. The processor determines that a second application not listed in the trusted or malicious lists is attempting to transmit a communication to the application. In response, the processor transmits a message to the peer application inquiring about the second application. The processor receives a response indicating that the second application is included in the second list of malicious applications and refuses the communication.

    Systems and Methods Using Distributed Ledgers to Correct for Missing One Time Passwords in Event Processing

    公开(公告)号:US20220216990A1

    公开(公告)日:2022-07-07

    申请号:US17141563

    申请日:2021-01-05

    摘要: Aspects of the disclosure relate to distributed ledgers in OTP verification. A computing platform may receive an event processing request. The computing platform may generate a one time password, and record the one time password in a distributed ledger, and send the one time password to a first device. The computing platform may receive, from a second device, the one time password, which may have been sent from the first device to the second device. Using the distributed ledger, the computing platform may validate the one time password, and may record, in the distributed ledger, validation information indicating that the first one time password was validated. Based on validating the first one time password using the distributed ledger, the computing platform may process a requested event, and may notify the second device that the event was processed.

    Query processing platform for performing dynamic cluster compaction and expansion

    公开(公告)号:US11176137B2

    公开(公告)日:2021-11-16

    申请号:US16794426

    申请日:2020-02-19

    发明人: Maharaj Mukherjee

    摘要: Aspects of the disclosure relate to dynamic cluster compaction and expansion for query processing. A computing platform may receive information associated with an abstracted information cluster and may store the information as a first table containing the information and corresponding adjacency information. Subsequently, the computing platform may receive a query requesting a subset of the information and additional information not associated with the abstracted information cluster. Using the first table, the computing platform may identify the subset of the information and corresponding adjacency information. Then, the computing platform may identify a location of the additional information, and may access, from the identified location, a second table containing the additional information and corresponding adjacency information. Based on the subset of the information and its corresponding adjacency information, and the additional information and its corresponding adjacency information, the computing platform may send a response to the query.

    RESILIENT VEHICLE ROUTE SYSTEM
    159.
    发明申请

    公开(公告)号:US20210318134A1

    公开(公告)日:2021-10-14

    申请号:US16848473

    申请日:2020-04-14

    发明人: Maharaj Mukherjee

    摘要: A delivery system in which the vehicles themselves coordinate their movements. Vehicles are assigned to groups based on proximity. Each vehicle communicates its location and route information to the other vehicles in the group. The vehicles in the group then know the positions and routes of the other vehicles in the group. When a delivery is requested, the vehicles in the group use this information to determine which vehicle should be assigned to make that delivery. As the vehicles move around, their proximity to each other changes. When a vehicle has moved away from a group, that vehicle may be removed from the group and assigned to a different group. In this manner, the vehicle coordination mechanism is a distributed task performed by all the vehicles.