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Daddy Issues - Adult Teen Movie
⏲ 1:21:45 👁 260K
Mary Cahill, Certified Lactation Counselor
⏲ 7 minutes 43 seconds 👁 37.2K
HAUSOFCOLOR
⏲ 47 minutes 4 seconds 👁 222.1K
A man built a feeding device for orphaned kittens using a cat soft toy. <br/><br/>Bai Ying, 33, created the inventive device after he found the orphaned kittens in his home storage in Ningbo, China. <br/><br/>After observing them for two days, he realised that the mother was missing and decided to adopt the litter.<br/><br/>Bai first tried to use feeding syringes but the kittens struggled to absorb the milk, which prompted him to come up with an alternative.<br/><br/>Bai made the bionic breast-feeder out of balloons, syringes, leather straps and a stuffed cat toy.
⏲ 1:38 👁 14M
Nest Collaborative
⏲ 1 minute 31 seconds 👁 762
The Breastfeeding Den
⏲ 6 minutes 36 seconds 👁 9.9K
7 Deadly Sins - Full Movie
⏲ 1:25:59 👁 360K
Termination 2019 English Full Movie
⏲ 1:22:0 👁 115K
Lovely Dark and Deep (2023) English Movie
⏲ 1:27:14 👁 180K
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
A mockumentary about a group of swimsuit models hired by a fictitious Chemical company to shoot a product catalog. The movie spoofs the whole Baywatch-Sports Illustrated obsession with calendar girls as it follows the travails of models forced to shill for a company covering up oil spills, defective breast implants and synthetic food substitutes.
⏲ 1:28:11 👁 610K
Widows Point 2019 English Movie
⏲ 1:27:48 👁 100K
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