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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
Doupo Cangqiong: Nian Fan / Fights Break Sphere 5th Season / BTTH / Battle Through The Heaven<br/>Subtitle Dutch , French ,German ,Indonesia ,Polish ,Portuguese ,Spanish ,Swedish, Turkish ,Thai ,English , Chinese<br/><br/>After three years of not seeing each other,Xiao Yan finally met Xun'er at Jia Nan Academy. After that,they became closer and established the Stone Gate (Pan Gate). In order to continue to improve his strength and avenge him on the Misty Cloud Sect,he risked continuing to go deeper into the Qi Refining Pagoda to devour the Fallen Heart Flame.<br/><br/><br/><br/><br/><br/><br/><br/><br/><br/>#btth<br/>#btth5<br/>#btthseason5<br/>#Fightsbreaksphere<br/>#Fightsbreaksphere99<br/>#btth599<br/>
⏲ 16:20 👁 390K
The south will be under clear skies for majority this afternoon, with plenty of sunshine. However the north will see more cloud with rain arriving from the northwest, as well as breezier conditions. – This is the Met Office UK Weather forecast for the afternoon of 02/06/24. Bringing you today’s weather forecast is Honor Criswick.
⏲ 1:57 👁 955K
Doupo Cangqiong: Nian Fan / Fights Break Sphere 5th Season<br/>After three years of not seeing each other,Xiao Yan finally met Xun'er at Jia Nan Academy. After that,they became closer and established the Stone Gate (Pan Gate). In order to continue to improve his strength and avenge him on the Misty Cloud Sect,he risked continuing to go deeper into the Qi Refining Pagoda to devour the Fallen Heart Flame<br/><br/><br/><br/><br/><br/>#btth<br/>#btth5<br/>#btthseason5<br/>#battlethroughtheheavens<br/>#battle through the heaven99<br/>#btth599<br/>
⏲ 16:24 👁 6.2M
Fine, settled weather throughout the weekend. Some patchy cloud across England and Wales, and possibly a few light showers here. Clear and dry overnight, with the chance of some mist and fog patches. – This is the Met Office UK Weather forecast for the afternoon of 01/06/24. Bringing you today’s weather forecast is Marco Petagna.
⏲ 2:18 👁 3.4M
Doupo Cangqiong: Nian Fan / Fights Break Sphere 5th Season<br/><br/>After three years of not seeing each other,Xiao Yan finally met Xun'er at Jia Nan Academy. After that,they became closer and established the Stone Gate (Pan Gate). In order to continue to improve his strength and avenge him on the Misty Cloud Sect,he risked continuing to go deeper into the Qi Refining Pagoda to devour the Fallen Heart Flame
⏲ 16:24 👁 425K
A cloudy start especially across eastern parts of the UK, with a few outbreaks of rain in the south east. Through the afternoon, the cloud will break up across the southeast leaving some sunny spells. Elsewhere cloud lingers, especially across Northern Ireland, northern England and the midlands. – This is the Met Office UK Weather forecast for the morning of 01/06/24. Bringing you today’s weather forecast is Alex Burkill.
⏲ 2:51 👁 9.9M
Subtitle Arabic ,Hindi ,Indonesia ,Japanese ,Korean ,Malay ,Portuguese ,Thai ,Vietnamese , English ,Chinese<br/>Doupo Cangqiong: Nian Fan / Fights Break Sphere 5th Season / BTTH / Battle Through The Heaven<br/>After three years of not seeing each other,Xiao Yan finally met Xun'er at Jia Nan Academy. After that,they became closer and established the Stone Gate (Pan Gate). In order to continue to improve his strength and avenge him on the Misty Cloud Sect,he risked continuing to go deeper into the Qi Refining Pagoda to devour the Fallen Heart Flame.<br/><br/><br/><br/><br/><br/><br/><br/><br/><br/>#btth<br/>#btth5<br/>#btthseason5<br/>#battlethroughtheheavens<br/>#battle through the heaven99<br/>#btth599<br/>
⏲ 16:24 👁 1.7M
Doupo Cangqiong: Nian Fan / Fights Break Sphere 5th Season<br/>After three years of not seeing each other,Xiao Yan finally met Xun'er at Jia Nan Academy. After that,they became closer and established the Stone Gate (Pan Gate). In order to continue to improve his strength and avenge him on the Misty Cloud Sect,he risked continuing to go deeper into the Qi Refining Pagoda to devour the Fallen Heart Flame<br/>
⏲ 1:50:34 👁 40K
New Tarantula Nebula observations from the Atacama Large Millimeter/submillimeter Array (ALMA) are combined with imagery from ESO’s Very Large Telescope and the Visible and Infrared Survey Telescope for Astronomy (VISTA). <br/><br/>Credit: ESO/Digitized Sky Survey 2/N. Risinger /R. Gendler, ALMA (ESO/NAOJ/NRAO)/Wong et al., ESO/M.-R. Cioni/VISTA Magellanic Cloud survey. Acknowledgment: Cambridge Astronomical Survey Unit. Music: John Dyson
⏲ 0:50 👁 65K
Amidst the vast, shimmering expanse of the cosmos, where celestial bodies dance in the silent void, a tale of defiance and destiny unfolds. Wang Lin, an unassuming youth from an obscure village, harbors an unshakable belief: one's fate is not predestined but forged through sheer will and perseverance. Though his innate talent for cultivation is modest at best, Wang Lin embarks on the perilous journey toward immortality, resolute in his quest to transcend his earthly limitations.<br/><br/>Navigating a path fraught with formidable challenges and cosmic tempests, Wang Lin's ascent is marked by relentless trials. His greatest asset lies not in his natural aptitude but in his sharp intellect and unyielding determination. These qualities propel him forward, allowing him to overcome seemingly insurmountable obstacles and steadily climb the ranks of power within the mystical world of cultivation.<br/><br/>As Wang Lin ventures deeper into this arcane realm, he encounters a myriad of beings—both allies and adversaries—each shaping his journey in profound ways. His exploits lead him through the ethereal landscapes of the Cloud Sky Continent, the shadowy depths of the Netherworld, and beyond. With each step, he etches his name into the annals of cultivation history, becoming a figure of legend and awe.<br/><br/>\
⏲ 15:59 👁 25K
A1Julie's Song 3:45<br/>A2Feelings 2:20<br/>A3Clouds 3:18<br/>A4Tale Of A Wanderer 4:50<br/>A5Land Of New Hope 5:38<br/>B1Leaves 4:57<br/>B2Analogy 1:53<br/>B3Rings Around Tuesday 4:57<br/>B4Wonderworld 2:18<br/>B5Spend Some Time 3:43<br/><br/>Acoustic Guitar, Harmonica, Vocals – John Warren (16)<br/>Bass Guitar – Bobby Thomas (18)<br/>Drums – Gary Boyles<br/>Electric Guitar – Bobby Page (2)<br/>Electric Guitar, Keyboards – Moose Smith*<br/>Electric Piano – Marcia Groome<br/>Engineer – Joseph H. Selden, III*<br/>Lacquer Cut By – WEC*<br/>Producer – Moose Smith*, John Warren (16)<br/>Steel Guitar – Delores Hancock
⏲ 32:51 👁 20K
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