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A rivalry reborn -Australia v England data preview
⏲ 1:14 👁 155K
১২ বছর আগে ভাইরাল হওয়া ভিডিও নিয়ে মুখ খুললেন নাইকা প্রভা।Prova New Natok 2023|প্রভা নতুন নাটক। Prova
⏲ 1 minute 51 seconds 👁 15.3K
Katie Melua - Wonderful Life (Official Video)
⏲ 4 minutes 4 seconds 👁 23.7M
Vice Ganda at Rayver Cruz, kabilang sa nag-model sa fashion show ni Bang Pineda | Balitanghali
⏲ 1:34 👁 275K
HAUSER - Wicked Game
⏲ 4 minutes 54 seconds 👁 9.7M
আবারও ফাঁস হল প্রভার নতুন ভিডিও ! সোশ্যাল মিডিয়ায় প্রভা ও রাজিব ভাইরাল ২৭ মিনিট হট ভিডিও
⏲ 2 minutes 46 seconds 👁 146.2K
FULL VIDEO EPISODE: NBA Finals With CJ McCollum, Oilers Get To The SCF Vs The Panthers, Who's Back Of The Week And The WNBA Has People Angry
⏲ 1:45:29 👁 335K
The Most Beautiful ENGLISH villages in the COTSWOLDS - Part 1
⏲ 10 minutes 24 seconds 👁 857K
বাংলাদেশের সবচেয়ে সমালোচিত ও চরিত্রহীন অভিনেত্রী প্রভার জীবন কাহিনী। Sadia Jahan Prova Biography
⏲ 5 minutes 11 seconds 👁 184K
Session 17: Deployment of Machine Learning Models in Open RAN Networks
⏲ 4:9 👁 75K
প্রবাসে কি নতুন সঙ্গী খুঁজে পেলেন প্রভা | Sadia Jahan Prova | Desh TV
⏲ 3 minutes 6 seconds 👁 33.9K
সেই ভিডিও নিয়ে মুখ খুললেন প্রভা ।Sadia Jahan Prova
⏲ 2 minutes 👁 3.3K
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_a-rivalry-reborn-australia-v-england-data-preview.webp "Jonny Bairstow and Mitchell Marsh look forward to facing each other once again this time in the T20 World Cup")
_prova-new-natok-2023124-prova.webp "Bd Jabed Media")
_katie-melua-wonderful-life-official-video.webp "Katie Melua")
_vice-ganda-at-rayver-cruz-kabilang-sa-nag-model-sa-fashion-show-ni-bang-pineda-124-balitanghali.webp "Balitanghali is the daily noontime newscast of GTV anchored by Raffy Tima and Connie Sison. It airs Mondays to Fridays at 10:00 AM (PHL Time). For more videos from Balitanghali, visit http://www.gmanews.tv/balitanghali.<br/><br/>#GMAIntegratedNews #KapusoStream<br/><br/>Breaking news and stories from the Philippines and abroad:<br/>GMA Integrated News Portal: http://www.gmanews.tv<br/>Facebook: http://www.facebook.com/gmanews<br/>TikTok: https://www.tiktok.com/@gmanews<br/>Twitter: http://www.twitter.com/gmanews<br/>Instagram: http://www.instagram.com/gmanews<br/><br/>GMA Network Kapuso programs on GMA Pinoy TV: https://gmapinoytv.com/subscribe")
_hauser-wicked-game.webp "HAUSER")
_.webp "Celebrity Profile")
_full-video-episode-nba-finals-with-cj-mccollum-oilers-get-to-the-scf-vs-the-panthers-who39s-back-of-the-week-and-the-wnb.webp "Jake Marsh | Pardon My Take")
_the-most-beautiful-english-villages-in-the-cotswolds-part-1.webp "MemorySeekers")
_sadia-jahan-prova-biography.webp "Jiboner Kotha")
_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 \")
_124-sadia-jahan-prova-124-desh-tv.webp "Desh TV Entertainment")
_sadia-jahan-prova.webp "Media Goppo")
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