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This mommy wanted to have some fun with her little boy, so she played a silly trick on him. She found a funny sound that made a fart noise, like a grown-up tooting!<br/><br/>When she played the sound, her little boy thought it was really his mommy who farted. He got a big surprise and didn't know what to think. He was so scared by the loud toot that he ran away to hide!<br/><br/>It sounds crazy, but sometimes toots can be pretty scary, especially to little kids!<br/>Location: Cleburne, United States<br/>WooGlobe Ref : WGA665978<br/>For licensing and to use this video, please email licensing@wooglobe.com
⏲ 0:17 👁 630K
NetworkChuck
⏲ 16 minutes 49 seconds 👁 1M
RAN SONGS
⏲ 4 minutes 39 seconds 👁 11
Belfast entrepreneur Ciaran Kelly has revealed that all three of his stores are to be renamed Pizza Crew following ‘significant investment’ which has secured over 40 jobs.<br/><br/>Previously named Pizza Guyz, Ciaran feels that the decision to change the name was more like fate.<br/><br/>Ciaran said: “The name change was taken out of my hands to an extent as I ran into a trademark issue over the Pizza Guyz name. We could not come to a resolution so rather than waste money on legal fees, I decided to invest it back into the business and my people.<br/><br/>\
⏲ 0:26 👁 7.2M
Brie Babbles
⏲ 14 minutes 12 seconds 👁 62
GAPIYOU FUN
⏲ 6 minutes 5 seconds 👁 908
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
Asian Pacific American Heritage Month
⏲ 4 minutes 6 seconds 👁 440
TheSFNiners
⏲ 53 seconds 👁 3.4K
Adventures In Odyssey video series from 1991-2003 is a Focus On The Family spin off of the radio dramas beginning in 1987.<br/><br/>This is an unofficial soundtrack for this series.<br/><br/>watch here<br/>https://rumble.com/v4qxvsc-adventures-in-odyssey-04.-shadow-of-a-doubt-1993.html?mref=rcqv5&mc=9wzzk<br/><br/>listen here<br/>https://rumble.com/v4r11vn-adventures-in-odyssey-04.-shadow-of-a-doubt-1993-unofficial-soundtrack.html?mref=rcqv5&mc=9wzzk<br/><br/>01. Focus On The Family 0:00<br/>02. Break In (Diamonds 0:13<br/>03. AIO Shadow Of A Doubt [Main Theme] 2:06<br/>04. Cat Burglar News (Where There's A Will) 2:59<br/>05. Burglar Strikes Again (You're On Camera) 3:35<br/>06. Watch Dog Security (Stark - You're The Cat Burglar) 4:44<br/>07. Whittaker Arrested! 7:38<br/>08. Loyal Friend 8:38<br/>09. I Believe You 10:40<br/>10. The Face Of John Avery Whittaker 11:41<br/>11. To Prove It Was Someone Else 12:43<br/>12. Scotland Yard (Criminal Types - Mug Shots) 13:33<br/>13. Inspector Phineas (Disguise - The Mask) 14:44<br/>14. Fingerprints (Planted Evidence) 15:39<br/>15. Evidence 17:24<br/>16. Tie A Better Knot (Guilty! Guilty! Guilty!) 18:50<br/>17. Whit's Defense 19:59<br/>18. Sewer Chase (Verdict!) 20:36<br/>19. Innocent! 22:34<br/>20. New Children's Wing 22:58<br/>21. AIO Shadow Of A Doubt [End Credits] 23:34<br/><br/>Total Running Time: 24:34
⏲ 24:45 👁 65K
Vimal Kumar
⏲ 8 minutes 56 seconds 👁 552K
Ariole Dieujuste
⏲ 6 minutes 2 seconds 👁 5.9K
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