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1.
公开(公告)号:US20240265258A1
公开(公告)日:2024-08-08
申请号:US18624439
申请日:2024-04-02
发明人: Reza FARIVAR , Fardin Abdi Taghi ABAD , Anh TRUONG , Mark WATSON , Austin WALTERS , Jeremy GOODSITT , Vincent PHAM
IPC分类号: G06N3/08 , G06F18/24 , G06N3/04 , G06Q20/38 , G06V10/82 , G06V30/19 , G06V30/226 , G06V40/30
CPC分类号: G06N3/08 , G06F18/24 , G06Q20/3825 , G06V10/82 , G06V30/19147 , G06V30/19173 , G06V30/226 , G06V40/33 , G06N3/04
摘要: A device receives information indicating first names and last names of individuals and applies different cursive fonts to each of the first names and the last names to generate images of different cursive first names and different cursive last names. The device applies different transformations to the images of the different cursive first names and the different cursive last names to generate a set of first name images and a set of last name images. The device combines each first name image with each last name image to form a set of signature images and trains a neural network model, with the set of signature images, to generate a trained neural network model. The device receives an image of a signature and processes the image of the signature, with the trained neural network model, to recognize a first name and a last name in the signature.
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公开(公告)号:US20220318078A1
公开(公告)日:2022-10-06
申请号:US17845786
申请日:2022-06-21
发明人: Mark WATSON , Fardin Abdi Taghi ABAD , Anh TRUONG , Kenneth TAYLOR , Reza FARIVAR , Jeremy GOODSITT , Austin WALTERS , Vincent PHAM
IPC分类号: G06F9/54 , G06N20/00 , G06F17/16 , G06N3/04 , G06F11/36 , G06N3/08 , G06F21/62 , G06N5/04 , G06F17/15 , G06T7/194 , G06T7/254 , G06T7/246 , G06F16/2455 , G06F16/22 , G06F16/28 , G06F16/906 , G06F16/93 , G06F16/903 , G06F16/9038 , G06F16/9032 , G06F16/25 , G06F16/335 , G06F16/242 , G06F16/248 , G06F30/20 , G06F40/166 , G06F40/117 , G06F40/20 , G06F8/71 , G06F17/18 , G06F21/55 , G06F21/60 , G06K9/62 , G06N7/00 , G06Q10/04 , G06T11/00 , H04L9/40 , H04L67/306 , H04L67/00 , H04N21/234 , H04N21/81 , G06N5/00 , G06N5/02 , G06V10/70 , G06V10/98 , G06V30/194 , G06V30/196
摘要: An exemplary system, method, and computer-accessible medium can include, for example, receiving an original dataset(s), receiving a synthetic dataset(s), training a model(s) using the original dataset(s) and the synthetic dataset(s), and evaluating the synthetic dataset(s) based on the training of the model(s). The model(s) can include a first model and a second model, and the first model can be trained using the original dataset(s) and the second model can be trained using the synthetic dataset(s). The synthetic dataset(s) can be evaluated by comparing first results from the training of the first model to second results from the training of the second model.
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公开(公告)号:US20220303266A1
公开(公告)日:2022-09-22
申请号:US17805512
申请日:2022-06-06
发明人: Jeremy GOODSITT , Austin WALTERS , Fardin Abdi Taghi ABAD , Mark WATSON , Anh TRUONG , Vincent PHAM , Reza FARIVAR
摘要: A device detects a communication involving a user associated with an account and a service representative, and sends, to a user device associated with the account, an authentication notification that causes the user device to display an authentication field for the user. The device sends, to a service representative device associated with the service representative, a message that indicates that the service representative is to request, via the communication, the user to enter personal information associated with the user into the authentication field, where the user device is configured to generate a first authentication code based on a user input received from the user device in the authentication field. The device generates a second authentication code based on personal information associated with the account from a data structure, receives the first authentication code, and performs an action based on the first authentication code and the second authentication code.
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公开(公告)号:US20210285846A1
公开(公告)日:2021-09-16
申请号:US17241955
申请日:2021-04-27
发明人: Vincent PHAM , Reza FARIVAR , Kate KEY , Jeremy GOODSITT , Mark WATSON , Fardin Abdi Taghi ABAD , Anh TRUONG , Austin WALTERS
IPC分类号: G01M17/04 , B60G17/015 , B60G17/016 , B60G17/018 , B60G17/0195
摘要: An error notification system includes a plurality of data production systems in communication with a monitoring server. Each data production system has a data processor configured to receive input data from a first set of data production systems, process the input data to produce output data, and make the output data accessible to a second set of data production systems. The monitoring server is configured to monitor data transmissions between the data production systems and to identify, for each data transmission, originating and receiving systems. The monitoring server is further configured to map data flow from each originating source system to identify all downstream data production systems. Upon identification of a data error in the originating source system, the monitoring server obtains data error information, assembles a data error notification, and transmits the data error notification to data production systems meeting system notification criteria.
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公开(公告)号:US20210056187A1
公开(公告)日:2021-02-25
申请号:US16996580
申请日:2020-08-18
发明人: Kenneth TAYLOR , Fardin Abdi Taghi ABAD , Jeremy GOODSITT , Austin WALTERS , Vincent PHAM , Anh TRUONG
摘要: Systems and methods for augmented reality authentication of a user are described, including authenticating a user by presenting the user with augmented reality authentication challenges, evaluating the user's response, and using the response to authenticate the user.
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公开(公告)号:US20200372491A1
公开(公告)日:2020-11-26
申请号:US16791227
申请日:2020-02-14
发明人: Vincent PHAM , Mark WATSON , Reza FARIVAR , Fardin Abdi Taghi ABAD , Jeremy GOODSITT , Austin WALTERS
IPC分类号: G06Q20/34 , G06K19/077
摘要: Embodiments of the present disclosure provide a device, system, methods and components related to a modular card. Example components of the modular card include a thin rectangular rear plate, a thin rectangular front plate overlying the rear plate, a first plurality of fasteners fixed to the thin rectangular front plate, a second plurality of fasteners fixed to the thin rectangular rear plate, the second plurality of fasteners being configured to be removably engaged with the first plurality of fasteners; a magnetic strip, and/or an integrated circuit. In operation a user may remove and/or replace various components to customize the modular card. Some customizations include altering the accounts to which the modular card relates. In some example, the modular card may include components which relate to different accounts.
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公开(公告)号:US20200175418A1
公开(公告)日:2020-06-04
申请号:US16423315
申请日:2019-05-28
发明人: Vincent PHAM , Reza FARIVAR , Jeremy GOODSITT , Fardin Abdi Taghi ABAD , Anh TRUONG , Mark WATSON , Austin WALTERS
IPC分类号: G06N20/00 , G06F16/2457 , G06N5/04
摘要: A database including various datasets and metadata associated with each respective dataset is provided. These datasets were used to train predictive models. The database stores a performance value associated with the model trained with each dataset. When provided with a new dataset, a server can determine various metadata for the new dataset. Using the metadata, the server can search the database and retrieve datasets which have similar metadata values. The server can narrow the search based on the performance value associated with the dataset. Based on the retrieved datasets, the server can recommend at least one sampling technique. The sampling technique can be determined based on the one or more sampling techniques that were used in association with the retrieved datasets.
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8.
公开(公告)号:US20200169785A1
公开(公告)日:2020-05-28
申请号:US16202942
申请日:2018-11-28
发明人: Jeremy GOODSITT , Anh TRUONG , Fardin Abdi Taghi ABAD , Mark WATSON , Reza FARIVAR , Austin WALTERS
IPC分类号: H04N21/454 , H04N21/258 , G06N3/08 , H04N21/81 , H04N21/25
摘要: Embodiments disclosed herein provide for dynamically modifying image and/or video content based on user preferences. The system and methods provide for a plurality of generative adversarial networks, each associated with a corresponding style transfer, wherein each style transfer is configured to uniquely transform a content template based on distinct user preference information.
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公开(公告)号:US20240362403A1
公开(公告)日:2024-10-31
申请号:US18766745
申请日:2024-07-09
发明人: Jeremy GOODSITT , Anh TRUONG , Fardin Abdi Taghi ABAD , Mark WATSON , Reza FARIVAR , Austin WALTERS
IPC分类号: G06F40/16 , G06F40/103 , G06F40/186 , G06N20/00 , G06Q30/0241 , G06Q30/0251
CPC分类号: G06F40/16 , G06F40/103 , G06F40/186 , G06N20/00 , G06Q30/0251 , G06Q30/0277
摘要: Embodiments disclosed herein provide for dynamically modifying image and/or video content based on user preferences. Embodiments provide a server, a database containing user preference information and one or more content templates, and a content generator comprising a plurality of generative adversarial networks, wherein each generative adversarial network is associated with a corresponding style transfer, and the content generator is configured to apply one or more style transfers to a base image to convert the base image into a desired style. Once created, the customized content is sent to a client device to for display.
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10.
公开(公告)号:US20230289665A1
公开(公告)日:2023-09-14
申请号:US18124397
申请日:2023-03-21
发明人: Jeremy GOODSITT , Anh TRUONG , Reza FARIVAR , Fardin Abdi Taghi ABAD , Mark WATSON , Vincent PHAM , Austin WALTERS
IPC分类号: G06N20/10 , G06N20/00 , G06F18/24 , G06F18/214
CPC分类号: G06N20/10 , G06N20/00 , G06F18/24 , G06F18/214
摘要: An exemplary system, method, and computer-accessible medium can include, for example, (a) receiving a dataset(s), (b) determining if a misclassification(s) is generated during a training of a model(s) on the dataset(s), (c) generating a synthetic dataset(s) based on the misclassification(s), and (d) determining if the misclassification(s) is generated during the training of the model(s) on the synthetic dataset(s). The dataset(s) can include a plurality of data types. The misclassification(s) can be determined by determining if one of the data types is misclassified. The dataset(s) can include an identification of each of the data types in the dataset(s).
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