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China has established a $47.5 billion state-backed fund as its third and largest phase of investing in the semiconductor industry. The \

China's State-Backed Fund Aims to Propel Tech Self-Sufficiency with $47.5 Billion Investment

⏲ 0:41 👁 335K

GSMArena Official

LG Velvet with DualScreen review

⏲ 9 minutes 6 seconds 👁 216K

Real World Review

Long Live LG - LG Velvet 5G - Worth it in 2023? (Real World Review)

⏲ 7 minutes 15 seconds 👁 14.2K

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 \

Session 17: Deployment of Machine Learning Models in Open RAN Networks

⏲ 4:9 👁 75K

CNET

LG Velvet: LG shakes things up with new 5G phone

⏲ 5 minutes 14 seconds 👁 206.1K

OSReviews

REVIEW: LG Velvet 5G Android Smartphone in 2023 - Underrated, Beautiful Design!

⏲ 14 minutes 5 seconds 👁 34.5K

Welcome to Session 14 of our Open RAN series! In this session, we'll introduce supervised machine learning and its application in designing intelligent systems for Open RAN.<br/><br/><br/>Understanding Supervised Machine Learning:<br/>Supervised machine learning is a type of machine learning where the algorithm learns from labeled data. It involves training a model on a dataset that contains input-output pairs, where the input is the data and the output is the corresponding label or target variable. The algorithm learns to map inputs to outputs by finding patterns in the data. In Open RAN, supervised learning can be used for tasks such as predicting network performance based on historical data.<br/><br/>Types of Supervised Machine Learning:<br/>There are two main types of supervised machine learning: classification and regression. In classification, the algorithm learns to categorize data into predefined classes or categories. For example, it can classify network traffic into different application types (e.g., video streaming, web browsing). Regression, on the other hand, involves predicting continuous values or quantities. It is used when the output variable is a real or continuous value, such as predicting the signal strength of a network connection.<br/><br/>Binary and Multi-Class Classification:<br/>Binary classification involves categorizing data into two classes or categories. For example, it can be used to classify network traffic as either malicious or benign. Multi-class classification, on the other hand, involves categorizing data into more than two classes. It can be used to classify network traffic into multiple application types (e.g., video streaming, social media, email).<br/><br/>Regression in Machine Learning:<br/>Regression is a supervised learning technique used for predicting continuous values or quantities. It involves fitting a mathematical model to the data, which can then be used to make predictions. In Open RAN, regression can be used for tasks such as predicting network latency, throughput, or coverage based on various input variables such as network parameters, traffic patterns, and environmental conditions.<br/><br/>Subscribe to \

Session 14: Introduction to Supervised Machine Learning in Open RAN

⏲ 4:28 👁 40K

MobileTechReview

LG Velvet Review

⏲ 12 minutes 31 seconds 👁 73.5K

Real World Review

Is This The Best Cheap 5G Phone? - LG Velvet 5G - Worth it in 2022? (Real World Review)

⏲ 9 minutes 54 seconds 👁 31.6K

Get ready to add a pop of color to your breakfast routine with these vibrant and delicious colorful pancakes recipes! In this video, we'll show you how to create a rainbow of flavors and hues using simple ingredients and creative techniques. From red velvet pancakes to matcha green pancakes, there's a colorful creation for every taste bud. Join us in the kitchen and bring some fun and flair to your morning meal with these eye-catching and tasty pancake recipes. Don't forget to like, share, and subscribe for more mouthwatering recipe ideas!<br/>#pancake #dessert #pastryWe advise adult supervision and care at all times. This video is made for entertainment purposes. We do not make any warranties about the completeness, safety and reliability. Any action you take upon the information on this video is strictly at your own risk, and we will not be liable for any damages or losses. It is the viewer's responsibility to use judgment, care and precautions if one plans to replicate. <br/><br/>The following video might feature activity performed by our actors within controlled environment- please use judgment, care, and precaution if you plan to replicate. <br/><br/>All product and company names shown in the video are trademarks™️ or registered®️ trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them. <br/><br/>------------------------------------------------------------------------------------ <br/><br/>▶️ TheSoul Music: https://www.music.thesoul-publishing.com <br/>◉ Our Spotify: https://sptfy.com/TheSoulMusic <br/>◉ TikTok: https://www.tiktok.com/@thesoul.music <br/>◉ YouTube:/ @thesoulsound<br/><br/>◉ 5-Minute Crafts:/ @5minutecraftsyoutube <br/>◉ 5-Minute Crafts DIY: / @5minutecraftsdiy <br/>◉ 5-Minute Crafts PLAY: / @5minutecraftsplay <br/><br/>◉ Music by Epidemic Sound: https://www.epidemicsound.com/

Colorful Pancake Recipes You'll Really Love

⏲ 15:3 👁 40K

GadgetRevNow

LG Velvet 5G in 2022: One MARVELOUS phone! IF ONLY!!!

⏲ 8 minutes 45 seconds 👁 32K

TECHOSAUR

LG OLED EVO C4 42\" Review - AI Changes Everything!

⏲ 23 minutes 3 seconds 👁 61

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