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NASA Alert: Bus Sized Asteroid Very Close To Earth, What Happen After Fall With 14400 Kmph Speed
⏲ 3:17 👁 4.5M
Pattern of Life
⏲ 4 minutes 29 seconds 👁 25
Pattern Of Life
⏲ 1 minute 46 seconds 👁 4
How Team USA Finds Motivation to Train for the Olympics and Paralympics
⏲ 7:13 👁 300K
Patterns of Life (Patterns in Our Environment)
⏲ 3 minutes 24 seconds 👁 196
What If Yoda NEVER Left Anakin Skywalker Before Order 66
⏲ 50 minutes 22 seconds 👁 1.3K
Most Beautiful Birds in the World | Breathtaking Beauty of Earth's Most Exquisite Birds | Relaxation
⏲ 0:9 👁 80K
Jeremy And Kaleb Try To Be Construction Workers | Clarkson Farm S3
⏲ 4 minutes 27 seconds 👁 2.3K
Crazy Day of Walleye Fishing | So many BIG Walleye!
⏲ 28 minutes 46 seconds 👁 967
Session 17: Deployment of Machine Learning Models in Open RAN Networks
⏲ 4:9 👁 75K
Ancient Aliens: Shocking Evidence of TIME TRAVEL?!
⏲ 17 minutes 50 seconds 👁 197.1K
I Can’t Believe I Wrecked The Off-Road 6x6!
⏲ 35 minutes 55 seconds 👁 105K
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_nasa-alert-bus-sized-asteroid-very-close-to-earth-what-happen-after-fall-with-14400-kmph-speed.webp "NASA Alert: नासा की जेट प्रोपल्शन प्रयोगशाला ने बताया है कि एक बस के आकार का क्षुद्रग्रह, जिसे 2024 JP1 के रूप में नामित किया गया है, एक प्रक्षेपवक्र पर है जो इसे 14,400 किलोमीटर प्रति घंटे की गति से पृथ्वी की ओर लाता है। <br/>NASA’s Jet Propulsion Laboratory has reported that a bus-sized asteroid, designated as 2024 JP1, is on a trajectory that brings it towards Earth at a speed of 14,400 kilometers per hour. <br/> <br/> <br/> <br/>#NASA #Asteroid#astronomer<br/>")
_pattern-of-life.webp "Bryan E. Miller - Topic")
_pattern-of-life.webp "Soundsurface - Topic")
_how-team-usa-finds-motivation-to-train-for-the-olympics-and-paralympics.webp "Competing in the Olympics or Paralympics is one of the biggest goals for many athletes and requires rigorous training. SELF asked Team USA how they find the motivation to wake up every day and train ahead of one of the biggest competitions of their career.")
_patterns-of-life-patterns-in-our-environment.webp "Judy u0026 David - Topic")
_what-if-yoda-never-left-anakin-skywalker-before-order-66.webp "Pente Patrol Star Wars")
_most-beautiful-birds-in-the-world-124-breathtaking-beauty-of-earth39s-most-exquisite-birds-124-relaxation.webp "4K Ultra HD - 60FPS | Enchanting Natural Harmony | Serene Soundscape for Relaxation | The Breathtaking Beauty of Earth's Most Exquisite Birds: A Visual Symphony.<br/><br/>The world's most resplendent, awe-inspiring, and marvellous birds.<br/><br/>Relaxing Nature Sounds, Serene Birdsong, and Calming Melodies.<br/><br/>The world is graced by an array of stunningly beautiful birds, each captivating with its unique allure. The resplendent quetzal, native to Central America, enchants with its vibrant emerald and ruby plumage, embodying a symbol of freedom and beauty. The peacock, famed for its extravagant and iridescent feather display, exudes elegance and grandeur, making it a timeless symbol of opulence. The Scarlet Macaw, adorned with a brilliant scarlet coat and intricate blue and yellow markings, captivates with its majestic and vivid presence. The hummingbird, with its jewel-like colours and mesmerizing flight patterns, embodies grace and delicacy. These magnificent birds, among many others, remind us of the unparalleled beauty found in the natural world.<br/><br/>This video is a vibrant celebration of colour and the breathtaking wonders of nature, showcasing the unparalleled beauty encapsulated in the graceful creatures known as birds. It brings together the most astonishing avian species from across the planet, presenting their splendour through stunning visuals set to exclusive, soothing nature sounds.<br/><br/>This video offers a rejuvenating experience, aiding in stress relief and promoting a favourable chemical balance in both your brain and body. By engaging with this content, you can achieve a state of relaxation, heightened focus, improved performance, and better sleep. These benefits contribute to overall healing and a positive transformation in your life.<br/><br/>If you enjoy our content, we deeply appreciate your support through subscribing and sharing. Your gesture means a lot to us. Thank you for being part of our community!<br/>2023 ©AWESOME NATURE<br/>#nature #wildlife #birds #animals #stressrelief #4k #forestsounds")
_jeremy-and-kaleb-try-to-be-construction-workers-124-clarkson-farm-s3.webp "Amazon Prime Video UK u0026 IE")
_crazy-day-of-walleye-fishing-124-so-many-big-walleye.webp "Clayton Schick Outdoors")
_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 \")
_ancient-aliens-shocking-evidence-of-time-travel.webp "HISTORY")
_i-cant-believe-i-wrecked-the-off-road-6x6.webp "Matt's Off Road Recovery")
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