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US Patent 10396919 Processing of communications signals using machine learning

Patent 10396919 was granted and assigned to Virginia Tech Intellectual Properties on August, 2019 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors
Is a
Patent
Patent
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Current Assignee
Virginia Tech Intellectual Properties
Virginia Tech Intellectual Properties
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Date Filed
May 14, 2018
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Date of Patent
August 27, 2019
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Patent Applicant
Virginia Tech Intellectual Properties
Virginia Tech Intellectual Properties
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Patent Application Number
15978920
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Patent Citations Received
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US Patent 12067630 Adaptive intelligence and shared infrastructure lending transaction enablement platform responsive to crowd sourced information
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US Patent 11481840 System and method of varied terms and conditions of a subsidized loan
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US Patent 11488059 Transaction-enabled systems for providing provable access to a distributed ledger with a tokenized instruction set
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US Patent 11494836 System and method that varies the terms and conditions of a subsidized loan
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US Patent 11494694 Transaction-enabled systems and methods for creating an aggregate stack of intellectual property
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US Patent 11989647 Self-learning scheduler for application orchestration on shared compute cluster
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US Patent 12015937 Operation of sectorized communications from aerospace platforms using reinforcement learning
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US Patent 12021709 Network design and optimization using deep learning
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US Patent 11461842 System and method of a smart contract and distributed ledger platform with blockchain custody service
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US Patent 10541765 Processing of communications signals using machine learning
•••
Patent Inventor Names
Thomas Charles Clancy, III
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Timothy James O'Shea
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
10396919
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Patent Primary Examiner
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Nguyen T Vo
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