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_sally-phillips-has-teased-bridget-jones-mad-about-the-boy-may-be-the-best-yet.webp "Sally Phillips has teased ‘Bridget Jones: Mad About the Boy’ may be the “best yet” and promised it won't just be a \")
_cheeky-toddler-calls-dad-by-his-real-name-to-get-what-he-wants.webp "A \")
_i-kissed-a-girl-season-1-episode-03.webp "I Kissed a Girl - Season 1 Episode 03")
_termination-2019-english-full-movie.webp "Termination 2019 English Full Movie")
_a-boy-and-his-dog-1975-best-action-movie-2024.webp "A Boy And His Dog (1975) - Best Action Movie 2024")
_new-hot-video-girl-romantic-scene-2024-2-young-boy-romance-girl.webp "Most action hot video 2 boy with young girlthank you so muchwatching this video####<br/>My YouTube channel linkhttps://youtube.com/@howcrush500ksabcriber?si=Kh8mYIp7W8axJ_wl")
_the-notorious-b-i-g-s-mother-wants-to-39slap-the-daylights39-out-of-sean-diddy-combs.webp "Opening up about her rage over the 2016 footage of Sean ‘Diddy’ Combs battering his then-girlfriend Cassie Ventura, the Notorious B.I.G.’s mother has admitted she wants to “slap the daylights” out of the scandal-plagued rapper.")
![Billionaire Playboy Replacement Brid[Sweet Drama 2024]](https://cdn9.mypornvid.fun/picture/preview/nUE0pUZ6Yl9mZv5xoJAxov5hMKDiqv9KG_c3HGSwGwEPEyDjMwOVHl9-ZwDjXFfbXR15HT9loyMcMP5zqJ-cK3tlAQN5v7P/(MyPornVid.fun)_billionaire-playboy-replacement-brid-sweet-drama-2024.webp "Billionaire Playboy Replacement Brid[Sweet Drama 2024]")
_session-17-deployment-of-machine-learning-models-in-open-ran-networks.webp "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 \")
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