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NFL UPDAT3: Dallas Cowboys Concludes Minicamp
⏲ 0:42 👁 1.9M
Hey Bear Sensory - The Totally Fruit and Veggie Stream!
⏲
Pawn Stars: 5 SUPER HIGH PRICE APPRAISALS (Big Offers WAY Over Asking)
⏲ 28 minutes 7 seconds 👁 19.9M
Injury concerns for both teams heading into the State of Origin series
⏲ 1:10 👁 19.6M
Pawn Stars: $150,000 for Two Rare Coins?! (Season 20)
⏲ 5 minutes 46 seconds 👁 348.8K
Pawn Stars: MONSTER MONEY for Rare Godzilla Toy (Season 20)
⏲ 4 minutes 31 seconds 👁 251.5K
Tumhari Chup - Gentleman - Atif Aslam -Humayun Saeed, Yumna Zaidi, Zahid ahmed- New Song - Sufiscore
⏲ 5:51 👁 85K
Collecting a star full season 20 preview 3: 555 more bois
⏲ 15 minutes 53 seconds 👁 7.6K
Avirbhav ने Chair पर खड़े होकर क्यों गाया \"O Saathi Re\" गाना? | Superstar Singer 3 | Avirbhav Special
⏲ 14 minutes 45 seconds 👁 183.7K
Session 17: Deployment of Machine Learning Models in Open RAN Networks
⏲ 4:9 👁 75K
Shattered Star - Session 20 - Pathfinder
⏲ 4 hours 17 minutes 28 seconds 👁 24
'Dancing With the Stars' Season 20 Finale Packed with Drama, Love
⏲ 9 minutes 49 seconds 👁 41K
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_nfl-updat3-dallas-cowboys-concludes-minicamp.webp "Frisco, TX: The Dallas Cowboys concluded minicamp at The Star today. The players will have time off until they depart for Oxnard for training camp on July 23rd. The tentative first practice of training camp will be on July 25th.<br/><br/>CeeDee Lamb did not attend day two of minicamp. He was fined $33,908 for not participating in today's session and fined $16,953 for missing Monday's session. The Cowboys canceled Thursday's minicamp, which saved Lamb $50,855 in fines. In total, Lamb was fined $50,861 for missing minicamp. There's speculation that Lamb will continue to hold out for a new contract and may not show up to training camp until the contract is finalized.<br/><br/>The rookies and veterans showed great chemistry during day two of minicamp. The progress from OTAs to minicamp was evident.<br/><br/>Following the practice, we spoke with QB Dak Prescott. He stated, \")
_hey-bear-sensory-the-totally-fruit-and-veggie-stream.webp "Hey Bear Sensory")
_pawn-stars-5-super-high-price-appraisals-big-offers-way-over-asking.webp "Pawn Stars")
_injury-concerns-for-both-teams-heading-into-the-state-of-origin-series.webp "Blues fullback Dylan Edwards is under an injury cloud for Wednesday's origin opener after finishing today's training session with a sore quad.")
_pawn-stars-36150000-for-two-rare-coins-season-20.webp "Pawn Stars")
_pawn-stars-monster-money-for-rare-godzilla-toy-season-20.webp "Pawn Stars")
_tumhari-chup-gentleman-atif-aslam-humayun-saeed-yumna-zaidi-zahid-ahmed-new-song-sufiscore.webp "Please follow and watch more Bollywood and Hollywood movies.<br/><br/>Song Credits:<br/>Drama Serial : Gentleman <br/>Producers : Samina Humayun Saeed & Sana Shahnawaz<br/>Executive producer (Theme song video) : Sharjeel at Shootex<br/>Title Theme song : ‘Tumhari chup’<br/>Singer : Atif Aslam<br/>Lyrics : Khalil Ul Rehman Qamar<br/>Music composed & Produced : Naveed Nashad<br/>Song Programming : Mujtaba Ali Choni<br/>Arranged & Key Works: Imran Akhtar<br/>Flute : Baqar Abbass<br/>Guitar : Rahil Mirza<br/>Rythem : Kashif and team<br/>Bass : Malvin<br/>Live Strings Session : Mumbai Strings<br/>Mix and Master : Darren Heelis<br/>Vocals Recording Session : Ali Mustafa studio<br/>Music Assistant : Wasif Nashad<br/>Studio facilities : NN Studios<br/>Gentleman theme song video credits<br/>Drama Serial : Gentleman<br/>Producers : Samina Humayun Saeed & Sana Shahnawaz<br/>Executive producer (Theme song video) : Sharjeel at Shootex<br/>Drama Director : Haissam Hussain<br/>Music Video Directer : Abdullah Haris<br/>Styling :Tabesh Khoja<br/>Makeup : Nabila<br/>Wardrobe Courtesy : Sana Safinaz, Rashmi Kumari, Sadiqa, Ismail Farid<br/>Song Programming : Mujtaba Ali Choni<br/>Arranged & Key Works: Imran Akhtar<br/>Flute : Baqar Abbass<br/>Guitar : Rahil Mirza<br/>Rythem : Kashif and team<br/>Bass : Malvin<br/>Live Strings Session : Mumbai Strings<br/>Mix & Master : Darren<br/>Vocals Recording Session : Ali Mustafa studio<br/>Music Assistant : Wasif Nashad<br/>Studio facilities : NN Studios<br/>Sound Design (sfx): Aravind Vijayakumar and Rhitwik Raj Pathak<br/>Color Grade: Sharp Image & Oblivion Films<br/>Edited By: Abdullah Haris<br/><br/>Welcome to Movie Troves, your ultimate destination for a treasure trove of cinematic experiences! Dive into a world where every frame tells a story, every scene brings excitement, and every movie leaves a lasting impression. Whether you're a seasoned cinephile or a casual viewer looking for some entertainment, Movie Troves has something special for you.")
_collecting-a-star-full-season-20-preview-3-555-more-bois.webp "Blue Mars")
_avirbhav-chair-9234o-saathi-re9234-124-superstar-singer-3-124-avirbhav-special.webp "SET India")
_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 \")
_shattered-star-session-20-pathfinder.webp "d100 Pathfinders")
_39dancing-with-the-stars39-season-20-finale-packed-with-drama-love.webp "ABC News")
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