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1.发明申请公开(公告)号：US20200274484A1
公开(公告)日：2020-08-27
申请号：US16797281
申请日：2020-02-21
摘要： Various embodiments for a connection topology reconfiguration technique for photovoltaic (PV) arrays to maximize power output under partial shading and fault conditions using neural networks are disclosed herein.
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2.发明公开公开(公告)号：US20230291203A1
公开(公告)日：2023-09-14
申请号：US18121388
申请日：2023-03-14
CPC分类号： H02J3/004 , G05F1/67 , H02J2300/26
摘要： A system reconfigures a photovoltaic array used in solar energy based on observed shading conditions to determine an optimal topology of the photovoltaic array to maximize power output. Specifically, the system is designed to reconfigure a photovoltaic array when the photovoltaic array is partially shaded. The system uses a neural network model to determine a topology that maximizes power output of the photovoltaic array based on irradiance data obtained from the photovoltaic array.
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公开(公告)号：US11616471B2
公开(公告)日：2023-03-28
申请号：US16797281
申请日：2020-02-21
摘要： Various embodiments for a connection topology reconfiguration technique for photovoltaic (PV) arrays to maximize power output under partial shading and fault conditions using neural networks are disclosed herein.
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公开(公告)号：US20230062528A1
公开(公告)日：2023-03-02
申请号：US17819519
申请日：2022-08-12
摘要： Various embodiments of a system and associated method for detection of COVID-19 and other respiratory diseases through classification of audio samples are disclosed herein. The system utilizes features directly extracted from the coughing audio and develops automated diagnostic tools for COVID-19. In particular, the present application discusses a novel modification of a deep neural network architecture by using log-mel spectrograms of the audio excerpts and by optimizing a combination of binary cross-entropy and focal loss parameters. One embodiment of the system achieved an average validation AUC of 82.23% and a test AUC of 78.3% at a sensitivity of 80.49%.
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公开(公告)号：US11929086B2
公开(公告)日：2024-03-12
申请号：US17121131
申请日：2020-12-14
IPC分类号： G10L21/0308 , G06F16/635 , G06N3/04 , G06N3/08 , G10L25/30
CPC分类号： G10L21/0308 , G06F16/635 , G06N3/04 , G06N3/08 , G10L25/30
摘要： Various embodiments of a system and methods for audio source separation via multi-scale feature learning are disclosed.
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公开(公告)号：US20210183401A1
公开(公告)日：2021-06-17
申请号：US17121131
申请日：2020-12-14
IPC分类号： G10L21/0308 , G10L25/30 , G06N3/04 , G06N3/08
摘要： Various embodiments of a system and methods for audio source separation via multi-scale feature learning are disclosed.
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公开(公告)号：US11765609B2
公开(公告)日：2023-09-19
申请号：US17345652
申请日：2021-06-11
摘要： A system estimates spectral radius and leverages local updates from neighboring nodes in a wireless network to iteratively update state values of each node in the network and estimate a spectral radius of the network with guaranteed convergence. A method associated with the system method is a distributed method that efficiently converges to an invertible function of the spectral radius based only on local communications of the network for digital communication models in the presence and/or absence of packet loss, as opposed to conventional centralized methods.
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公开(公告)号：US11621668B2
公开(公告)日：2023-04-04
申请号：US16868050
申请日：2020-05-06
摘要： Solar array fault detection, classification, and localization using deep neural nets is provided. A fault-identifying neural network uses a cyber-physical system (CPS) approach to fault detection in photovoltaic (PV) arrays. Customized neural network algorithms are deployed in feedforward neural networks for fault detection and identification from monitoring devices that sense data and actuate each individual module in a PV array. This approach improves efficiency by detecting and classifying a wide variety of faults and commonly occurring conditions (e.g., eight faults/conditions concurrently) that affect power output in utility scale PV arrays.
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9.发明授权公开(公告)号：US09507011B2
公开(公告)日：2016-11-29
申请号：US14213655
申请日：2014-03-14
CPC分类号： G01S5/0278 , G01S5/0289 , G01S5/14 , H04W84/18
摘要： Some embodiments include a wireless sensor network system. Other embodiments of related systems and methods are also disclosed.
摘要翻译： 一些实施例包括无线传感器网络系统。 还公开了相关系统和方法的其它实施例。
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公开(公告)号：US11490286B2
公开(公告)日：2022-11-01
申请号：US17146130
申请日：2021-01-11
摘要： Various embodiments of systems and methods for robust max consensus for wireless sensor networks in the presence of additive noise by determining and removing a growth rate estimate from state values of each node in a wireless sensor network are disclosed.
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