首页|'Method and Apparatus for Selecting Machine Learning Model for Execution in a Re source Constraint Environment' in Patent Application Approval Process (USPTO 202 40135247)
'Method and Apparatus for Selecting Machine Learning Model for Execution in a Re source Constraint Environment' in Patent Application Approval Process (USPTO 202 40135247)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A patent application by the inventors Johnsson, Andreas (Uppsala, SE); Yanggratoke, Rerngvit (Jarfalla, SE), filed on February 1, 2021, was made available online on April 25, 2024, according to news reporting originating from Washington, D.C., by NewsRx correspondents. This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “A long-term evolution (LTE) system, initiated b y the third-generation partnership project (3GPP), is now being regarded as a ne w radio interface and radio network architecture that provides a high data rate, low latency, packet optimization, and improved system capacity and coverage. In the LTE system, an evolved universal terrestrial radio access network (E-UTRAN) includes a plurality of evolved Node-Bs (eNBs) and communicates with a pluralit y of mobile stations, also referred to as user equipment’s (UEs). The UE of the LTE system can transmit and receive data on only one carrier component at any ti me.
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