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HITEP9 Spoiled By My Disabled CEO drama miniseries minidrama revenge minidrama relationship
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Fantasy action movie Best Sci Fi Movie 2021 Full Movie English Sci Fi Movie 2021 Movie 21
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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
The New Lancia Ypsilon is a smart city car that stands out in the urban environment for its ease of driving and handling: agile in the city but also lots of fun on the twists and turns on a hill. To pass this test, Lancia based its work on the multienergy Common Modular Platform (CMP), a segment-leading modular facility perfect for both full-electric motors and hybrid engines. The design and production team has worked to obtain a car that is agile, dynamic, can maintain remarkable grip and stability on the road, and is at the same time equipped with great comfort, guaranteeing a level of absolute premiumness.<br/>Work has focused on four main areas: onboard well-being, sound quality, production quality, and driving pleasure. In terms of onboard well-being, a specific soundproofing package has been developed to create a relaxing and soundproof environment, regardless of road surface conditions and the car’s speed. A specific set of gaskets has also been developed for the doors, to improve the sound quality when they are closed, as well as a new design for the handles to convey a tangible and extensive feeling of robustness. As for production quality, investment has been made in staff training, dedicated equipment and processes, to achieve a level of competition typical of a premium brand and to guarantee the end customer the best quality currently available on the market.<br/>In addition to these interventions, attention has been paid to driving pleasure: the team has widened the wheel track by 24 mm, to ensure better weight distribution and handling for the new model. The steering system has also been calibrated for the utmost driving precision; last but not least, work has been done to obtain a specific setup for the suspension, more dynamic but never too stiff.
⏲ 1:48 👁 255K
Hungry snake caught swallowing another, even bigger snake headfirst. <br/><br/>Many species of snakes are capable of swallowing prey much larger than themselves, such as deer, cows and even humans. However, this behavior does not typically include bigger snakes because when snakes do eat each other, which is common, it is normally the bigger snakes who eat the smaller ones.
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[SHANA]Hungry Heart Cap 18 from hungry hungry models
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Edin Terzic shared his admiration for Real Madrid boss Carlo Ancelotti ahead of the Champions League final.
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