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公开(公告)号：US11176016B1
公开(公告)日：2021-11-16
申请号：US17028390
申请日：2020-09-22
摘要： According to one embodiment, a method, computer system, and computer program product for detecting and managing anomalies in one or more sensors is provided. The present invention may include simulating, by one or more environmental models, an expected output of the one or more sensors; responsive to identifying that an actual output of the one or more sensors differs from the expected output by a threshold value, detecting one or more anomalous sensors; and performing one or more actions to manage the one or more anomalous sensors based on the presence of the one or more sensors within a plurality of anomaly reaction zones.
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公开(公告)号：US11107167B2
公开(公告)日：2021-08-31
申请号：US16561071
申请日：2019-09-05
发明人： Jitendra Singh , Saurav Basu , Mukul Tewari , Lloyd A Treinish
摘要： A computer-implemented method can include obtaining irrigation data. The method can further include obtaining a first set of watering rates. The method can further include generating a first set and a second set of soil moisture estimates. The first and second sets of soil moisture estimates can be based at least in part on the irrigation data. The method can further include obtaining a custom constraint and making a first determination that the first set of soil moisture estimates satisfies the custom constraint. The method can further include obtaining a moisture reference value in response to making the first determination. The moisture reference value can be based at least in part on the second set of soil moisture estimates. The method can further include making a second determination that the moisture reference value exceeds a first threshold, and generating an irrigation plan in response to making the second determination.
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公开(公告)号：US20210173119A1
公开(公告)日：2021-06-10
申请号：US16702861
申请日：2019-12-04
发明人： Jitendra Singh , Mukul Tewari , Vinayak Sastri , Seema Nagar , Kuntal Dey
摘要： A computer-implemented method for effective agriculture and environment monitoring. The method may comprise measuring a desired variable over an area of interest using a remote inspection platform according to an inspection plan, predicting an occlusion of the remote inspection platform, and in response to the predicted occlusion, determining whether to invoke a local inspection platform to complete the inspection plan. The occlusion in some embodiments interrupts the inspection plan for the remote inspection platform.
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公开(公告)号：US20230196289A1
公开(公告)日：2023-06-22
申请号：US17553747
申请日：2021-12-16
发明人： Smitkumar Narotambhai Marvaniya , Kedar Kulkarni , Ranjini Bangalore Guruprasad , Jitendra Singh , Komminist Weldemariam , Shantanu R. Godbole , Chandrasekhar Narayanaswami
CPC分类号： G06Q10/101 , G06N20/00
摘要： A method and system generate news headlines from user input parameters. The user input parameters include a specified geographic region of interest and an industry of interest. Climate data and carbon emissions data for the specified geographic region of interest is retrieved. Supply chain dependencies are determined. A machine learning model is generated using the specified geographic region of interest, the industry, the climate data, the carbon emissions data, and the supply chain dependencies. The machine learning model performs an impact analysis on a supply chain based on the climate data and the carbon emissions data. The machine learning model predicts a supply chain performance for the industry based on the impact analysis. A news headline is automatically generated describing the predicted supply chain performance. The news headline includes an underlying basis for the predicted supply chain performance.
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公开(公告)号：US11651248B2
公开(公告)日：2023-05-16
申请号：US16598613
申请日：2019-10-10
CPC分类号： G06N5/04 , A01C21/007 , G06N20/00 , G06Q10/06 , G06Q10/0631 , G06Q50/02
摘要： One embodiment provides a method, including: obtaining information related to farming activities of a farmer; predicting an annotation category for the information, wherein the annotation category identifies a topic of the information; selecting an annotator for annotating the information based upon the annotation category, wherein the selecting comprises utilizing (i) a social proximity constraint identifying a social connection between the farmer and another farmer and (ii) a farm signature constraint identifying a similarity of the farmer to another farmer; assigning the annotator to annotate the obtained information; and receiving annotations for the information.
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公开(公告)号：US20230052540A1
公开(公告)日：2023-02-16
申请号：US17401548
申请日：2021-08-13
发明人： Richard J. Tomsett , Smitkumar Narotambhai Marvaniya , Geeth Ranmal de Mel , Jitendra Singh , NICOLAS ELIE GALICHET , Komminist Weldemariam , Shantanu R. Godbole
摘要： In an approach to jointly learning uncertainty-aware trend-informed neural network for a demand forecasting model, a machine learning model is trained to capture uncertainty in input forecasts. The uncertainty in a latent space is represented using an auto-encoder based neural architecture. The uncertainty-aware latent space is modeled and optimized to generate an embedding space. A time-series regressor model is learned from the embedding space. A machine learning model is trained for trend-aware demand forecasting based on said time-series regressor model.
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公开(公告)号：US20220018989A1
公开(公告)日：2022-01-20
申请号：US16930195
申请日：2020-07-15
发明人： Jitendra Singh , Mukul Tewari , Seema Nagar , Kuntal Dey
摘要： In an approach for forecasting environmental occlusion events, a processor receives a spatio-temporal zone of interest. A processor collects data associated with the spatio-temporal zone of interest. A processor builds a machine-learning model using the data. A processor generates an occlusion probability map for the spatio-temporal zone of interest based on the machine-learning model and enriched mathematical operators. A processor outputs the occlusion probability map.
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公开(公告)号：US20220011119A1
公开(公告)日：2022-01-13
申请号：US16924279
申请日：2020-07-09
摘要： The exemplary embodiments disclose a system and method, a computer program product, and a computer system for generating an agriculture map of a region of land. The exemplary embodiments may include collecting agricultural data of one or more sub-regions of the region of land, wherein the agricultural data includes classified data and unclassified data, extracting one or more features from the collected classified agricultural data, training one or more models based on the extracted one or more features, and generating an agricultural map of the region of land based on applying the one or more models to the collected unclassified agricultural data.
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公开(公告)号：US20210256176A1
公开(公告)日：2021-08-19
申请号：US16793786
申请日：2020-02-18
发明人： Andrew T. Penrose , Jitendra Singh , Himanshu Gupta , Vijay Arya
摘要： One embodiment provides a method for recommending model characteristics to be used in developing a target geo-spatial physical model for a target geographic location utilizing historical lineage data corresponding to historical geo-spatial physical models, including: receiving information related to the target geographic location, wherein the information describes geographical and domain features of the target geographic location; identifying, using at least one similarity algorithm, at least one other geographic location that is similar to the target geographic location, wherein the at least one geographic location has at least one corresponding historical geo-spatial physical model; and recommending, using at least one machine-learning model and based upon the at least one other geographic location, initial model characteristics for developing and deploying the target geo-spatial physical model.
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公开(公告)号：US12118755B2
公开(公告)日：2024-10-15
申请号：US17544436
申请日：2021-12-07
IPC分类号： G06T9/00
CPC分类号： G06T9/00
摘要： Methods, systems, and computer program products for stochastic compression of raster data are provided herein. A computer-implemented method includes obtaining at least one compression ratio and at least one error value for a given set of raster data; compressing at least a portion of the given set of raster data based at least in part on the at least one compression ratio and the at least one error value; transmitting the compressed raster data, to at least one given destination, based at least in part on a given transmission speed variable; and performing one or more automated actions based at least in part on the transmitted compressed raster data.
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