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This delicious and diet-friendly recipe will satisfy any dinnertime noodle craving. In this video, Matthew Francis shows you how to make a carrot-peanut noodle salad with high-fiber veggies and healthy fats.
⏲ 0:26 👁 115K
Is your puppy growling when playing? We break down what this could mean
⏲ 2:30 👁 1.4M
JoJo Siwa's got a bad habit, and apparently, doesn't care who knows it ... because while she was gnawing on herself, she made sure it was easy for her fans to spot her.
⏲ 0:36 👁 90K
Ever wondered how to make pasta? Celebrity chef Theo Randall shows how to make this Italian classic in a few easy steps, here.
⏲ 8:14 👁 2.6M
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
L I K E||C O M M E N T||S H A R E ||F O L L O W <br/>_____________________________________<br/><br/>Thanks for All lovely Followers to support <br/>“ IrfanShah Technical193 “ Dailymotion Channel<br/>-----------------------------------<br/><br/><br/>----------------------------------<br/>▶ wifi ka qr code scanner Off<br/>▶all router ka wifi scanner band ho sakta hai <br/>▶ Bohat asani setting hai wifi k QR Code scanner Off karny ki<br/>▶<br/>----------------------------------<br/><br/>Admin: Irfan Shah
⏲ 14:58 👁 70K
Know a Maltesers fan? They're going to love this double chocolate cake!
⏲ 1:36 👁 245K
Cottage pie lovers rejoice, we've found the perfect recipe!
⏲ 1:36 👁 65K
Summer is here and that means pasta salad season has officially arrived. In this video, Nicole shares 3 of the best pasta salad recipes that have gone viral on social media! Learn how to make Italian Pasta Salad, Dill Pickle Pasta Salad, and Street Corn Pasta Salad by watching this video.
⏲ 17:15 👁 205K
Welcome to Kids Basic Education!<br/><br/>Our channel is dedicated to making education exciting and accessible for young minds. <br/><br/>We offer a wide range of educational videos designed to help kids learn and grow.<br/>Subscribe and hit the bell icon to never miss an update.<br/><br/> Subscribe Now and Let's Learn Together!
⏲ 1:50 👁 60K
Make perfect roast potatoes every time with this simple method, which includes parboiling, fluffing them up and coating them in hot oil.
⏲ 1:1 👁 1.9M
learn trading from basic
⏲ 25:14 👁 60K
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