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AccuWeather's Tony Laubach reported live from beneath a massive hail-producing supercell in Nebraska on the afternoon of June 7.
⏲ 3:33 👁 575K
DC Kids
⏲ 33 minutes 13 seconds 👁 188.2K
The Amazing World of Gumball
⏲ 3 hours 16 minutes 48 seconds 👁 273.1K
Black Clover S01 - E29 Hindi Episodes - Path | ChillAndZeal |<br/>https://rglinks.com/cduIn<br/>https://shrs.link/wfLuT2<br/>Background Credit :- Real Owner <br/> ______________________________________________________ <br/><br/>All video photo and clips credit goes :) Real owner<br/> ************************************************ <br/><br/> Tag - <br/><br/>anime booth,naruto shippuden hindi dub promo,black clover,anime in hindi,anime booth hindi official,black clover anime in hindi,anime in india,black clover anime hindi dubbed,naruto shippuden official promo hindi dubbed| anime booth!,naruto shippuden in hindi,official hindi dubbed anime,black clover anime,anime booth india,black clover in hindi,naruto shippuden hindi dubbed,anime booth hindi,anime hindi,anime booth channel number,anime in hindi dub<br/><br/><br/>COPYRIGHT DISCLAIMER:Under Section 107 of the Copyright Act 1976, allowance is made for \
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DC Kids
⏲ 28 minutes 38 seconds 👁 23.7M
DC Kids
⏲ 21 minutes 29 seconds 👁 12.5M
Just over a year ago, Dick Grayson AKA Robin left Batman. He's currently running on his own. But he's not sure which dir | dG1fOUx3T1VEcml1cTg
⏲ 2:3 👁 1M
Cartoon Network India
⏲ 10 minutes 45 seconds 👁 117.4K
Official Pink Panther
⏲ 36 minutes 15 seconds 👁 1.7M
Welcome back to our journey through the world of Open RAN and machine learning. In this session, In this session, we'll explore the deployment of machine learning models in Open RAN networks, focusing on practical examples and deployment strategies.<br/><br/>Deployment Example:<br/>Consider a scenario where an Open RAN operator wants to optimize resource allocation by predicting network congestion. They decide to deploy a machine learning model to predict congestion based on historical traffic data and network conditions.<br/><br/>Deployment Steps:<br/><br/>1. Data Collection and Preprocessing:<br/>The operator collects historical traffic data, including throughput, latency, and user traffic patterns.<br/>They preprocess the data to remove outliers and normalize features.<br/><br/>2. Model Development:<br/>Data scientists develop a machine learning model, such as a regression model, to predict congestion based on the collected data.<br/>They use a development environment with libraries like TensorFlow or scikit-learn for model development.<br/><br/>3. Offline Model Training and Validation (Loop 1):<br/>The model is trained on historical data using algorithms like linear regression or decision trees.<br/>Validation is done using a separate dataset to ensure the model's accuracy.<br/><br/>4. Online Model Deployment and Monitoring (Loop 2):<br/>Once validated, the model is deployed in the network's edge servers or cloud infrastructure.<br/>Real-time network data, such as current traffic conditions, is fed into the model for predictions.<br/>Model performance is monitored using metrics like prediction accuracy and latency.<br/><br/>5. Closed-Loop Automation (Loop 3):<br/>The model's predictions are used by the network's orchestration and automation tools to dynamically allocate resources.<br/>For example, if congestion is predicted in a certain area, the network can allocate additional resources or reroute traffic to avoid congestion.<br/><br/>Subscribe to \
⏲ 4:9 👁 75K
DC Kids
⏲ 12 minutes 9 seconds 👁 2M
Nicktoons
⏲ 34 minutes 25 seconds 👁 19M
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