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公开(公告)号：US11636338B2
公开(公告)日：2023-04-25
申请号：US16825650
申请日：2020-03-20
发明人： Masayasu Muraoka , Tetsuya Nasukawa
IPC分类号： G06F40/30 , G06F40/289 , G06F40/166 , G06N3/08 , G06N7/01 , G06N7/00
摘要： A computer-implemented method is provided for data augmentation. The method includes calculating, by a hardware processor for each of words in a text data, a word replacement probability based on a word occurrence frequency in the text data, wherein the word replacement probability decreases with increasing word occurrence frequency. The method additionally includes selectively replacing at least one of the words in the text data with words predicted therefor by a Bidirectional Neural Network Language Model (BiNNLM) to generate augmented text data, based on the word replacement probability.
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公开(公告)号：US20230114804A1
公开(公告)日：2023-04-13
申请号：US17991348
申请日：2022-11-21
摘要： Systems and methods for automated unmanned aerial vehicle recognition. A multiplicity of receivers captures RF data and transmits the RF data to at least one node device. The at least one node device comprises a signal processing engine, a detection engine, a classification engine, and a direction finding engine. The at least one node device is configured with an artificial intelligence algorithm. The detection engine and classification engine are trained to detect and classify signals from unmanned vehicles and their controllers based on processed data from the signal processing engine. The direction finding engine is operable to provide lines of bearing for detected unmanned vehicles.
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公开(公告)号：US20230111071A1
公开(公告)日：2023-04-13
申请号：US18078263
申请日：2022-12-09
IPC分类号： G05B23/02 , G05B19/418 , H04L67/12 , G06N20/00 , H04L1/00 , G06N3/084 , G06N3/088 , G06N3/006 , H04B17/345 , H04W4/38 , H04W4/70 , G06Q30/02 , G06Q30/06 , G01M13/045 , G01M13/028 , H04L1/1867 , G05B13/02 , H04L67/1097 , H04B17/318 , G06N3/02 , G06N5/046 , H04B17/309 , H04L1/18 , G06F18/21 , G06N3/044 , G06N3/045 , G06N3/047 , G06N7/01
摘要： A platform for facilitating development of intelligence in an Industrial Internet of Things (IIoT) system generally includes a plurality of distinct data-handling layers comprising an industrial monitoring systems layer that collects data from or about a plurality of industrial entities in the IIoT system; an industrial entity-oriented data storage systems layer that stores the data collected by the industrial monitoring systems layer; an adaptive intelligent systems layer that provisions available computing resources within the platform; and an industrial management application platform layer that manages the platform in a common application environment.
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4.发明授权公开(公告)号：US11625635B2
公开(公告)日：2023-04-11
申请号：US16398695
申请日：2019-04-30
申请人： FUJITSU LIMITED
发明人： Ryota Kikuchi
摘要： A non-transitory computer-readable storage medium storing a control program for causing a computer to execute for acquiring, from a sensor, multiple monitored values in multistep processes including a process related to fermentation of microbes; setting probability distributions for multiple specific parameters related to unmonitored data and included in multiple parameters included in a nonlinear mathematical model related to the fermentation of the microbes corresponding to the multistep processes; generating monitoring predicted values at next monitoring time of the mathematical model based on the multiple monitored values and the probability distributions; using a distribution of the monitoring predicted values and values monitored at the next monitoring time to update the multiple parameters; and controlling the mathematical model so that errors of the multiple specific parameters generated using the mathematical model including the updated multiple parameters are reduced.
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公开(公告)号：US11610136B2
公开(公告)日：2023-03-21
申请号：US16417600
申请日：2019-05-20
申请人： Kyndryl, Inc.
摘要： A method, computer system, and a computer program product for estimating the probability of invoking information technology (IT) disaster recovery at a location based on an incident risk is provided. The present invention may include receiving a piece of data associated with an incident at the location. The present invention may also include estimating a similarity value associated with the incident based on a plurality of past incidents from a knowledge base. The present invention may then include receiving a plurality of mined data based on the location. The present invention may further include predicting the incident risk to the location based on the received plurality of mined data and the estimated similarity value to the plurality of past incidents.
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公开(公告)号：US11580280B2
公开(公告)日：2023-02-14
申请号：US16721588
申请日：2019-12-19
发明人： Xiao Chen , Can Huang , Liang Min , Charanraj Thimmisetty , Charles Tong
IPC分类号： G06F30/27 , G06N7/00 , G06N20/00 , G06N7/01 , G06F111/10
摘要： Techniques, systems, and devices are described for providing a computational frame for estimating high-dimensional stochastic behaviors. In one exemplary aspect, a method for performing numerical estimation includes receiving a set of measurements of a stochastic behavior. The set of correlated measurements follows a non-standard probability distribution and is non-linearly correlated. Also, a non-linear relationship exists between a set of system variables that describes the stochastic behavior and a corresponding set of measurements. The method includes determining, based on the set of measurements, a numerical model of the stochastic behavior. The numerical model comprises a feature space comprising non-correlated features corresponding to the stochastic behavior. The non-correlated features have a dimensionality of M and the set of measurements has a dimensionality of N, M being smaller than N. The method includes generating a set of approximated system variables corresponding to the set of measurements based on the numerical model.
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公开(公告)号：US20230140280A1
公开(公告)日：2023-05-04
申请号：US18052043
申请日：2022-11-02
发明人： Jisheng Wang
摘要： Disclosed are embodiments for improving remote diagnostics of a computer system. Some embodiments obtain operational parameter values and log data from a plurality of network devices, and provide the operational parameter values and log data to a machine learning model. The model is trained to identify a root cause of a degradation of the computer system based on the operational parameter values and log data, and to provide recommendations of log data level settings for the network devices. If the model identifies a root cause of the degradation with sufficient confidence, a remedial action is identified and applied to the computer system. If the confidence level is insufficient, log data level settings of the network devices are modified based on the recommendations of the model. This process may be performed iteratively until a root cause is identified with sufficient confidence.
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公开(公告)号：US20230135041A1
公开(公告)日：2023-05-04
申请号：US18147471
申请日：2022-12-28
摘要： One aspect of the disclosure relates to systems and methods for determining probabilities of successful synthesis of materials in the real world at one or more points in time. The probabilities of successful synthesis of materials in the real world at one or more points in time can be determined by representing the materials and their pre-defined relationships respectively as nodes and edges in a network form, and computation of the parameters of the nodes in the network as input to a classification model for successful synthesis. The classification model being configured to determine probabilities of successful synthesis of materials in the real world at one or more points in time.
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9.发明授权公开(公告)号：US11636368B2
公开(公告)日：2023-04-25
申请号：US15862458
申请日：2018-01-04
发明人： Jianbo Ye , Jia Li , James Z. Wang
摘要： A method of improving quality of crowdsourced affective data based on agreement relationship between a plurality of annotators include receiving, by a processor, a collection of stimuli previously given affective labels by the plurality of annotators, executing, by a processor, an algorithm operative to perform the steps including constructing an agreement multigraph as a probabilistic model including a pair-wise status of agreement between the affective labels given by different ones of the plurality of annotators, learning the probabilistic model computationally using the crowdsourced affective data, identifying a reliability of each of the plurality of annotators based on the learned model, and adjusting the crowdsourced affective data by calculating the affective labels of each stimuli based on the identified reliability of each of the plurality of annotators, thereby improving the quality of the crowdsourced affective data.
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公开(公告)号：US20230117143A1
公开(公告)日：2023-04-20
申请号：US18053538
申请日：2022-11-08
申请人： Intel Corporation
摘要： A mechanism is described for facilitating learning and application of neural network topologies in machine learning at autonomous machines. A method of embodiments, as described herein, includes monitoring and detecting structure learning of neural networks relating to machine learning operations at a computing device having a processor, and generating a recursive generative model based on one or more topologies of one or more of the neural networks. The method may further include converting the generative model into a discriminative model.
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