公开(公告)号：US20230403559A1

公开(公告)日：2023-12-14

申请号：US17838328

申请日：2022-06-13

Applicant: Verizon Patent and Licensing Inc.

Inventor： Prakash Ranganathan ,  Saurabh Tahiliani

IPC: H04W12/106 ,  H04W4/14 ,  H04W12/088 ,  G06N3/08

CPC classification number: H04W12/106 ,  H04W4/14 ,  H04W12/088 ,  G06N3/08

Abstract: In an example, a text message sent by a first user equipment (UE) and addressed to a second UE is received. In response to receiving the text message, a set of information associated with the text message is determined based upon information determined by a first carrier of the first UE and/or the second UE. The text message is classified as spam or not spam based upon the set of information.

公开(公告)号：US20230368502A1

公开(公告)日：2023-11-16

申请号：US17741495

申请日：2022-05-11

Applicant: Verizon Patent and Licensing Inc.

Inventor： Prakash Ranganathan ,  Nithya Vasudevan

IPC: G06V10/774 ,  G06V40/16 ,  G06V10/44

CPC classification number: G06V10/774 ,  G06V40/171 ,  G06V10/454

Abstract: In an example, based upon a first image of a face of a first person, a plurality of augmented images may be generated. Based upon the first image and the plurality of augmented images, a first set of facial feature representations may be generated. A second image comprising a representation of a face of a second person may be identified. A second facial feature representation may be generated based upon the second image. It may be determined, based upon the second facial feature representation and the first set of facial feature representations, that the second person is the first person.

公开(公告)号：US12293568B2

公开(公告)日：2025-05-06

申请号：US17741495

申请日：2022-05-11

Applicant: Verizon Patent and Licensing Inc.

Inventor： Prakash Ranganathan ,  Nithya Vasudevan

IPC: G06V10/774 ,  G06V10/44 ,  G06V40/16

Abstract: In an example, based upon a first image of a face of a first person, a plurality of augmented images may be generated. Based upon the first image and the plurality of augmented images, a first set of facial feature representations may be generated. A second image comprising a representation of a face of a second person may be identified. A second facial feature representation may be generated based upon the second image. It may be determined, based upon the second facial feature representation and the first set of facial feature representations, that the second person is the first person.

公开(公告)号：US20230215128A1

公开(公告)日：2023-07-06

申请号：US17568770

申请日：2022-01-05

Applicant: Verizon Patent and Licensing Inc.

Inventor： Prakash Ranganathan ,  Saurabh Tahiliani

IPC: G06V10/26 ,  G06V20/40 ,  G06V10/82 ,  G06V20/52 ,  G06V40/10

CPC classification number: G06V10/273 ,  G06V20/41 ,  G06V10/82 ,  G06V20/52 ,  G06V40/103

Abstract: Systems and methods described herein utilize synthetic pixel generation using a custom neural network to generate synthetic versions of objects hidden by occlusions for effective detection and tracking. A computing device stores an object detector model and a synthetic image generator model; receives a video feed; detects objects of interest in a current frame of the video feed; identifies an occluded object in the current frame; retrieves a previous frame from the video feed; generates synthetic data based on the previous frame for the occluded object; and forwards a modified version of the current frame to an object tracking system, wherein the modified version of the current frame includes the synthetic data.

公开(公告)号：US20250124054A1

公开(公告)日：2025-04-17

申请号：US18787375

申请日：2024-07-29

Applicant: Verizon Patent and Licensing Inc.

Inventor： Miruna Jayakrishnasamy ,  Prakash Ranganathan

IPC: G06F16/28

Abstract: The present teaching is directed to network capacity planning based on denoised user clusters and network element clusters. Collected information representing characteristics and activities of users and characteristics and performance of network elements is used to cluster users and network elements to generate initial user clusters and initial network element clusters, each of which is denoised in an iterative process to derive denoised subclusters that have no impure subclusters therein. Network capacity planning is performed based on correlations identified between denoised user subclusters and denoised network element subclusters.

公开(公告)号：US12197860B2

公开(公告)日：2025-01-14

申请号：US17383631

申请日：2021-07-23

Applicant: Verizon Patent and Licensing Inc.

Inventor： Prakash Ranganathan ,  Saurabh Tahiliani

IPC: G06F40/226 ,  G06F40/35 ,  G06F40/56 ,  G06N20/20

Abstract: One or more computing devices, systems, and/or methods are provided. In an example, a conversation path associated with a revised code segment of a conversational interaction entity is identified by a processor. The conversation path has a predetermined intent. A conversational phrase is generated by the processor for the conversation path. The conversational interaction entity is employed by the processor using the conversation path and the conversational phrase to generate a resultant intent. An issue report is generated by the processor for the conversational interaction entity responsive to the resultant intent not matching the predetermined intent.

公开(公告)号：US12050879B2

公开(公告)日：2024-07-30

申请号：US17752230

申请日：2022-05-24

Applicant: Verizon Patent and Licensing Inc.

Inventor： Prakash Ranganathan ,  Miruna Jayakrishnasamy

IPC: G06F40/30 ,  G06F40/226 ,  G06F40/279 ,  G06F40/284 ,  G06F40/40

CPC classification number: G06F40/40 ,  G06F40/226 ,  G06F40/284 ,  G06F40/30

Abstract: A device may generate first scores for sentences of text based on a cumulative frequency of words in each sentence, may generate second scores for the sentences based on a cumulative frequency of domain entities in each sentence, and may generate third scores for the sentences based on a sentiment analysis of each sentence. The device may generate a summary of the text, may filter the sentences to extract a first set of sentences, may filter the sentences to extract a second set of sentences, and may filter the sentences to extract a third set of sentences. The device may identify and assign weights to a first group of sentences, a second group of sentences, and a third group of sentences, may generate a ranked list of sentences based on the weighted first group, second group, and third group, and may perform actions based on the final summary.

公开(公告)号：US20220164753A1

公开(公告)日：2022-05-26

申请号：US17101811

申请日：2020-11-23

Applicant: Verizon Patent and Licensing Inc.

Inventor： Prakash Ranganathan ,  Vignesh Sundaram

IPC: G06Q10/06 ,  G06K9/00 ,  A61B5/02

Abstract: A system described herein may provide a technique for identifying states associated with service providers based on biometric, sensor, and/or other information associated with a set of service providers. A request for service may be received, and a particular service provider may be selected based on a particular state associated with the particular service provider, as determined based on the biometric, sensor, and/or other information associated with the particular service provider. State information associated with a requestor of the service may be identified and used as a factor in selecting the particular service provider to respond to the service request.

公开(公告)号：US12094181B2

公开(公告)日：2024-09-17

申请号：US17724036

申请日：2022-04-19

Applicant: Verizon Patent and Licensing Inc.

Inventor： Prakash Ranganathan ,  Saurabh Tahiliani

IPC: G06V10/20 ,  G06N3/045 ,  G06V10/25 ,  G06V10/774 ,  G06V10/82 ,  G06V20/70

CPC classification number: G06V10/255 ,  G06N3/045 ,  G06V10/25 ,  G06V10/7747 ,  G06V10/82

Abstract: A device may receive unprocessed images to be labeled, and may utilize a first neural network model to identify objects of interest in the unprocessed images and bounding boxes for the objects of interest. The device may annotate the objects of interest to generate annotated objects of interest, and may utilize a second neural network model to group the annotated objects of interest into clusters. The device may utilize a third neural network model to determine labels for the clusters, and may request manually-generated labels for clusters for which labels are not determined. The device may receive the manually-generated labels, and may label the unprocessed images with the labels and the manually-generated labels to generate labeled images. The device may generate a training dataset based on the labeled images, and may train a computer vision model with the training dataset to generate a trained computer vision model.

公开(公告)号：US12072914B1

公开(公告)日：2024-08-27

申请号：US18488285

申请日：2023-10-17

Applicant: Verizon Patent and Licensing Inc.

Inventor： Miruna Jayakrishnasamy ,  Prakash Ranganathan

IPC: G06F16/28

CPC classification number: G06F16/285

Abstract: The present teaching is directed to clustering with denoising capability and its use in network capacity planning. Data samples with attributes of network elements and respective key performance indicators are first clustered to obtain initial clusters. Each initial cluster is hierarchically clustered to generate subclusters, each of which is detected as a pure or an impure subcluster based on some criterion. Each impure subcluster is denoised based on a situation detected, with some samples merged with a corresponding pure subcluster, some bootstrapped using additional data samples with consistent properties, and some removed if additional data sample with consistent properties is not available. The denoising is iteratively performed until a denoising criterion is satisfied to obtain denoised clusters corresponding to clusters of network elements. Actions may be performed on the network elements according to their corresponding denoised clusters.