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21.发明授权公开(公告)号：US12062820B2
公开(公告)日：2024-08-13
申请号：US17407657
申请日：2021-08-20
发明人： Yuqing Zhou , Danny J. Lohan , Feng Zhou , Hiroshi Ukegawa , Tsuyoshi Nomura , Ercan M. Dede
IPC分类号： H01M8/0258 , G06F17/18 , G06F30/18
CPC分类号： H01M8/0258 , G06F17/18 , G06F30/18
摘要： One or more methods of designing microchannel fluid flow networks in a fuel cell bipolar plate includes executing one or more programs on one or more computing devices having one or more processors to optimize the spatially varying orientations of homogenized anisotropic porous media by iteratively executing a gradient-based algorithm that incorporates objective functions of reaction uniformity and flow resistance, and then generate, in response to the homogenized anisotropic porous media optimization, one or more microchannel fluid flow networks by dehomogenizing the optimized anisotropic porous media.
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公开(公告)号：US12061667B2
公开(公告)日：2024-08-13
申请号：US17579961
申请日：2022-01-20
CPC分类号： G06F17/18 , G01M15/042
摘要： A data processing method is a data processing method in which variable measurement data transmitted from a sensor at a first cycle is computationally processed at a second cycle that is longer than the first cycle. The measurement data is acquired in a third cycle that is longer than the first cycle and shorter than the second cycle, an average value of the acquired measurement data is calculated at the second cycle, and computation processing thereof is performed.
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公开(公告)号：US12056207B1
公开(公告)日：2024-08-06
申请号：US18538070
申请日：2023-12-13
申请人： SAS Institute Inc.
发明人： Xilong Chen , Tao Huang , Jan Chvosta
IPC分类号： G06F17/18
CPC分类号： G06F17/18
摘要： A computing device learns a best topological order vector of a plurality of variables. A target variable and zero or more input variables are defined. (A) A machine learning model is trained with observation vectors using the target variable and the zero or more input variables. (B) The machine learning model is executed to compute an equation loss value. (C) The equation loss value is stored with the identifier. (D) The identifier is incremented. (E) (A) through (D) are repeated a plurality of times. (F) A topological order vector is defined. (G) A loss value is computed from a subset of the stored equation loss values based on the topological order vector. (F) through (G) are repeated for each unique permutation of the topological order vector. A best topological order vector is determined based on a comparison between the loss value computed for each topological order vector in (G).
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24.发明公开公开(公告)号：US20240257019A1
公开(公告)日：2024-08-01
申请号：US18632114
申请日：2024-04-10
发明人： Krishnan Ramanathan , Jagdish Chand , Aman Madaan
IPC分类号： G06Q10/0637 , G06F16/21 , G06F16/25 , G06F16/27 , G06F16/28 , G06F17/18 , G06N5/04 , G06Q30/0201
CPC分类号： G06Q10/06375 , G06F16/211 , G06F16/254 , G06F16/27 , G06F16/283 , G06F17/18 , G06N5/04 , G06Q30/0201 , G06Q30/0206
摘要： In accordance with an embodiment, described herein are systems and methods for use with an analytic applications environment, for determination of recommendations and alerts in such environments. A data pipeline or process can operate in accordance with an analytic applications schema adapted to address particular analytics use cases or best practices, to receive data from a customer's (tenant's) enterprise software application or data environment, for loading into a data warehouse instance. When provided as part of a software-as-a-service (SaaS) or cloud environment, the data sourced from a plurality of organizations can be aggregated, to leverage information gleaned from the collective or shared data. The system can be used to generate semantic alerts, including obtaining permission from; and analyzing the collective data of; the plurality of organizations, to determine operational advantages indicated by the data, and providing alerts associated with those operational advantages.
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公开(公告)号：US20240256427A1
公开(公告)日：2024-08-01
申请号：US18630687
申请日：2024-04-09
发明人： Jason Trees , Titiimaea Alailima
CPC分类号： G06F11/3616 , G06F11/3466 , G06F11/3612 , G06F17/18 , G16H10/20
摘要： Systems and methods for distributed scientific evaluation of software product comprising a digital health intervention or software as a medical device product. In certain embodiments, a scientific evaluation system is operably configured to analyze one or more safety, efficacy, performance, and/or quality assurance aspects for program code outputs of the software product. In further embodiments, a scientific evaluation system is operably configured to configure and administer a distributed scientific evaluation, research study and/or clinical trial for the software product. In certain embodiments, a scientific evaluation system is configured to enable scientific evaluation of one or more program code outputs of a software product for one or more indication or intended use.
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公开(公告)号：US12045550B2
公开(公告)日：2024-07-23
申请号：US18297350
申请日：2023-04-07
申请人： Aurora Labs Ltd.
发明人： Zohar Fox , Carmit Sahar
IPC分类号： G06F8/75 , G06F8/34 , G06F8/65 , G06F8/71 , G06F11/36 , G06F16/901 , G06F17/18 , G06F18/24 , G06F21/52 , G06F21/56 , G06F21/57 , G06F21/62 , G06F30/33 , G06N20/00 , G06F30/15 , G10H1/00
CPC分类号： G06F30/33 , G06F8/34 , G06F8/65 , G06F8/71 , G06F8/75 , G06F11/3604 , G06F11/3612 , G06F11/362 , G06F11/3692 , G06F16/9014 , G06F17/18 , G06F18/24 , G06F21/52 , G06F21/563 , G06F21/57 , G06F21/6218 , G06N20/00 , G06F30/15 , G10H1/0058
摘要： Disclosed herein are techniques for analyzing software delta changes based on functional line-of-code behavior and relation models. Techniques include identifying a prompt to change a first version of code on a controller to a second version of code; constructing, based on the identified prompt, a line-of-code behavior and relation model representing execution of functions of the controller based on the second version of code; performing a signature operation on the generated line-of-code behavior and relation model to produce a signature value; and sending the signature value to the controller; wherein the controller is configured to compare the signature value to a computed signature value that the controller is configured to compute based on the second version of code and determine, based on the comparison, whether to validate the second version of code.
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公开(公告)号：US20240242299A1
公开(公告)日：2024-07-18
申请号：US18622225
申请日：2024-03-29
发明人： John Elbl , Eric Weibel
IPC分类号： G06Q50/16 , G01V99/00 , G06F16/28 , G06F17/18 , G06Q10/067 , G06Q30/0204 , G06Q50/26
CPC分类号： G06Q50/16 , G01V99/00 , G06F16/285 , G06F17/18 , G06Q10/067 , G06Q30/0205 , G06Q50/26
摘要： A method and system for modeling of physical phenomena associated with natural disasters, including prediction of damage caused by wildfire conflagration. Said modeling involves initializing an area of land into a set of regions and a set of structures that are located within the area of land. Each of the regions and structures are characterized by various vulnerabilities to fire conflagration, and are scored and subject to execution of simulation, which can involve regression, and other types of analysis to facilitate informed decision making.
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公开(公告)号：US12039482B2
公开(公告)日：2024-07-16
申请号：US17454581
申请日：2021-11-11
申请人： 7-Eleven, Inc.
CPC分类号： G06Q10/08 , G06F7/49947 , G06F17/18 , G06Q10/04
摘要： A data prediction subsystem receives event data indicating an amount of an item removed from each of a plurality of locations over a previous period of time. For each location, prediction data is determined using the event data. The prediction data includes, for each day over a future period of time, a non-integer value indicating an anticipated amount of the item that will be removed from the location. An improved rounding process is used to round the prediction value for each day. The resulting prediction data is used to proactively request items with improved communication and computational efficiency.
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公开(公告)号：US12039414B1
公开(公告)日：2024-07-16
申请号：US16438012
申请日：2019-06-11
申请人： Intuit Inc.
IPC分类号： G06N20/00 , G06F17/18 , G06F18/214 , G06F18/2431 , G06N3/08
CPC分类号： G06N20/00 , G06F17/18 , G06F18/2155 , G06F18/2431 , G06N3/08
摘要： A method and system assists train a classifier model with a machine learning process. The method and system trains the classifier with a labeled training set and with an unlabeled training set. The method and system trains the classifier model to correctly classify data items that fall within a distribution of the labeled training set. The method and system trains the classifier to indicate a lack of confidence in classification for data items that do not fall within the distribution of the labeled training set.
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30.发明公开公开(公告)号：US20240230214A9
公开(公告)日：2024-07-11
申请号：US17768840
申请日：2020-05-27
申请人： CHONGQING HAIER REFRIGERATION ELECTRIC APPLIANCE CO., LTD. , QINGDAO HAIER REFRIGERATOR CO., LTD. , HAIER SMART HOME CO., LTD.
发明人： GUIXI LI , LINGLEI KONG , JINGRUI ZHANG , GUANGWU WANG
CPC分类号： F25D29/00 , G06F17/18 , F25D2500/06
摘要： Disclosed are a method for updating data of a refrigerator freshness reservation model, a device and a storage medium. The method includes: S1, collecting refrigerator information of a plurality of users, wherein the refrigerator information of each user includes an item identifier corresponding to each of stored items in a refrigerator, and a usage frequency; S2, performing statistical computation on the refrigerator information to acquire a mean and a variance of usage frequencies corresponding to each food identifier; and S3, screening the refrigerator information based on the acquired mean and variance. In the present invention, uploaded data are automatically screened in an optimizing manner by mutual cooperation between the means and the variances, such that the uploaded data can be filtered, thereby maintaining the calculation accuracy while reducing the pressure on a server.
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