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_gunah-mms-official-trailer.webp "Gunah ( MMS ) Official Trailer from bangla model maheindi")
_back-hand-mehndi-design-124-eid-mehndidesigns-124-bridal-mehndi-124-mehandi-124mehndi-ke-design-124-mehendi.webp "Just Mehndi Creations")
⏲ 5 minutes 13 seconds 👁 8.3M
_very-easy-simple-beautiful-numbers-mehndi-design124124-mehndi-easymehndi-youtubeshorts-shorts.webp "Sunitha’s Mehndi Art")
⏲ 41 seconds 👁 44.6M
_sex-addict-boyfriend-podcast-stalker-romantic-web-series.webp "Sex Addict Boyfriend - Podcast Stalker (Romantic Web Series ) from bangla model maheindi")
_live-rahul-gandhi-first-reaction-after-election-results-2024-124-lok-sabha-polls-2024-124-congress-live.webp "YOYO TV Kannada")
LIVE: Rahul Gandhi First Reaction After Election Results 2024 | Lok Sabha Polls 2024 | Congress LIVE
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_.webp "Technical Surya 01")
_fantasy-action-movie-best-sci-fi-movie-2021-full-movie-english-sci-fi-movie-2021-movie-21.webp "Fantasy action movie Best Sci Fi Movie 2021 Full Movie English Sci Fi Movie 2021 Movie 21")
⏲ 1:24:0 👁 85K
_easy-simple-mehndi-design-new-124-arabic-mehndi-latest-design-124-new-latest-henna-mehandi-design.webp "Mehndi Fashion 1.5M views. 2 hours ago")
⏲ 7 minutes 40 seconds 👁 2M
_kaveri-went-on-a-jolly-ride-124-kaveri-kannada-medium-124-star-suvarna-124-ep-241.webp "Star Suvarna")
⏲ 10 minutes 31 seconds 👁 90.9K
_firaak-hindi-short-movie.webp "Firaak ( फिराक ) Hindi Short Movie from bangla model maheindi")
_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 \")
_one-night-stand-movie.webp "One night Stand Movie")
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