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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.
⏲ 5:51 👁 85K
Best Video Tutorials and Help from HowTech
⏲ 41 seconds 👁 13K
Harry Potter
⏲ 2 minutes 2 seconds 👁 1.7M
Comelec, Miru inspect HP-printed sample election ballots<br/><br/>Comelec Commissioner Rey Bulay and Philippine Consul Cecille Joyce Lao inspect the HP-printed ballots that would be used in the 2025 midterm elections in the Philippines. Bulay and Lao attended the Miru-Comelec Day in Düsseldorf, Germany on June 3, 2024 that showcased the systems set up by Miru, the poll body’s South Korean service provider, and its partner HP. Miru Systems Vice President Ken Cho and Arnon Goldman, General Manager of Industrial Print at HP, were also present in the event. <br/><br/>Contributed Video<br/><br/>Subscribe to The Manila Times Channel - https://tmt.ph/YTSubscribe <br/><br/>Visit our website at https://www.manilatimes.net <br/><br/>Follow us: <br/>Facebook - https://tmt.ph/facebook <br/>Instagram - https://tmt.ph/instagram <br/>Twitter - https://tmt.ph/twitter <br/>DailyMotion - https://tmt.ph/dailymotion <br/><br/>Subscribe to our Digital Edition - https://tmt.ph/digital <br/><br/>Check out our Podcasts: <br/>Spotify - https://tmt.ph/spotify <br/>Apple Podcasts - https://tmt.ph/applepodcasts <br/>Amazon Music - https://tmt.ph/amazonmusic <br/>Deezer: https://tmt.ph/deezer <br/>Stitcher: https://tmt.ph/stitcher<br/>Tune In: https://tmt.ph/tunein<br/><br/>#TheManilaTimes<br/>#tmtnews<br/>#comelec<br/>#miru<br/>#2025elections
⏲ 1:59 👁 3.9M
Saturday Night Live
⏲ 5 minutes 44 seconds 👁 37.2M
Electronics Repair School
⏲ 10 minutes 1 second 👁 37.2K
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
Oliur / UltraLinx
⏲ 11 minutes 20 seconds 👁 268.6K
Electronics Repair School
⏲ 11 minutes 1 second 👁 412.8K
All Links: ☠️ More Movie<br/>YouTube :::<br/>https://www.youtube.com/@Bailumylulu<br/> Rumble :::<br/> https://rumble.com/c/c-5999868/videos<br/> BiliBili :::<br/>https://www.bilibili.tv/en/space/2055644159<br/>Dailymotion :::<br/>https://www.dailymotion.com/alexmapeli <br/>Dailymotion :::<br/>https://www.dailymotion.com/MusicLulu<br/><br/>Copyright Disclaimer: - Under section 107 of the copyright Act 1976, allowance is mad for FAIR USE for purpose such a as criticism, comment, news reporting, teaching, scholarship and research. Fair use is a use permitted by copyright statues that might otherwise be infringing. Non- Profit, educational or personal use tips the balance in favor of FAIR USE. <br/>Email:::<br/>alexmapliejack@gmile.com
⏲ 1:38 👁 75K
Mrwhosetheboss
⏲ 15 minutes 34 seconds 👁 2.3M
hdk study
⏲ 1 hour 31 minutes 54 seconds 👁 1.3K
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