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_naked-ambition-uncut-2003.webp "Naked Ambition Chan Hing-ka \")
_candy-doll.webp "Straight 8's - Topic")
_candydoll.webp "Bindi Fu")
_tom-holland-heidi-klum-morgan-freeman-awkwafina-and-more.webp "June 1: singer Pat Boone turns 90, actor Morgan Freeman 87, actor Brian Cox 78, The Rolling Stones' Ronnie Wood 77, model Heidi Klum 51, singer Alanis Morissette 50, singer/songwriter Brandi Carlile 43, comedian Amy Schumer 43, comedian Nikki Glaser 40, and actor Tom Holland 28. June 2: actor/comedian Dana Carvey 69, TV personality Andy Cohen 56, rapper B-Real 54, comedian Wayne Brady 52, actor Zachary Quinto 47, actor Justin Long 46, actress/rapper Awkwafina 36, and singer Willy Moon 35.")
_laura-b-collection-particulire-laura-bortolami-shakira-official-new-collection-luxury.webp "Avvenice")
⏲ 30 seconds 👁 43.9K
_promo-candy-dolls.webp "tropicalsaloutv")
_in-a-studio-glow-where-the-dreams-unfold-new-english-song.webp "In a studio glow, where the dreams unfold ( New English Song )<br/><br/>Lyrics<br/>**Verse 1:**<br/>In a studio glow, where the dreams unfold,<br/>She's a vision in the lens, a story untold.<br/>With a gaze so fierce, yet soft as the night,<br/>She steps into the frame, and the world feels right.<br/><br/>**Pre-Chorus:**<br/>Striking a pose, she's a work of art,<br/>Every click of the shutter, it's a brand new start.<br/>In the flash of the lights, she finds her way,<br/>Chasing dreams with a smile, every single day.<br/><br/>**Chorus:**<br/>She's a modeling lover, under the cover,<br/>Of the fashion and fame, she's a name to discover.<br/>With every stride, she lights up the scene,<br/>A modeling lover, living the dream.<br/><br/>**Verse 2:**<br/>On the runway high, where the stars align,<br/>She walks with grace, on a path so fine.<br/>In the crowd's wild cheer, she finds her song,<br/>In the heart of the storm, where she belongs.<br/><br/>**Pre-Chorus:**<br/>With elegance and style, she's a blazing fire,<br/>Every turn, every twirl, she's taking it higher.<br/>In the rhythm of the night, she finds her beat,<br/>Chasing dreams in the city, on every street.<br/><br/>**Chorus:**<br/>She's a modeling lover, under the cover,<br/>Of the fashion and fame, she's a name to discover.<br/>With every stride, she lights up the scene,<br/>A modeling lover, living the dream.<br/><br/>**Bridge:**<br/>In the mirror's reflection, she sees her soul,<br/>A journey of passion, where she finds her role.<br/>Through the highs and lows, she stands so tall,<br/>In the world of fashion, she's giving her all.<br/><br/>**Chorus:**<br/>She's a modeling lover, under the cover,<br/>Of the fashion and fame, she's a name to discover.<br/>With every stride, she lights up the scene,<br/>A modeling lover, living the dream.<br/><br/>**Outro:**<br/>In the glimmer of the night, and the break of dawn,<br/>She keeps moving forward, never looking back on.<br/>She's a modeling lover, in the world so wide,<br/>With every step she takes, she's full of pride.<br/><br/>She's a modeling lover, and she'll always be,<br/>A star in the making, for the world to see.<br/><br/>gangster city,gangster deep,car music,bass boosted,remix,house music,house,slap house,car banger,car bass,bass music,deep house,g house,brazzilian bass,gang,tik tok,tik tok remix,club music,car,cars,boosted music,vavamedia,vavamusic,burak balkan,dj burak balkan,burak balkan remix,burak balkan club,burak balkan club remix,tik tok remix,car music,bass boosted")
_candydoll2017-5-7.webp "185makomako")
_nika.webp "Анастасия Нефёдова")
_session-17-deployment-of-machine-learning-models-in-open-ran-networks.webp "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 \")
_laura-chacon-19-3-a-19-3b-nbc.webp "Sara C")
_sophia-sacher-model-demo-reel-with-tl-modeling-agency.webp "TL Modeling Agency")
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