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Radio Televisyen Malaysia (RTM) merehatkan pendakwah popular ustaz Don Daniyal Don Biyajid daripada program Salam Baitullah selepas terdapat pertikaian mengenai sejarah hidup Nabi Muhammad.<br/><br/>Laporan Lanjut: <br/>https://www.freemalaysiatoday.com/category/bahasa/tempatan/2024/06/05/rtm-rehatkan-ustaz-don-daripada-program-salam-baitullah/ <br/><br/>Free Malaysia Today is an independent, bi-lingual news portal with a focus on Malaysian current affairs.<br/><br/>Subscribe to our channel - http://bit.ly/2Qo08ry<br/>------------------------------------------------------------------------------------------------------------------------------------------------------<br/>Check us out at https://www.freemalaysiatoday.com<br/>Follow FMT on Facebook: https://bit.ly/49JJoo5<br/>Follow FMT on Dailymotion: https://bit.ly/2WGITHM<br/>Follow FMT on X: https://bit.ly/48zARSW <br/>Follow FMT on Instagram: https://bit.ly/48Cq76h<br/>Follow FMT on TikTok : https://bit.ly/3uKuQFp<br/>Follow FMT Berita on TikTok: https://bit.ly/48vpnQG <br/>Follow FMT Telegram - https://bit.ly/42VyzMX<br/>Follow FMT LinkedIn - https://bit.ly/42YytEb<br/>Follow FMT Lifestyle on Instagram: https://bit.ly/42WrsUj<br/>Follow FMT on WhatsApp: https://bit.ly/49GMbxW <br/>------------------------------------------------------------------------------------------------------------------------------------------------------<br/>Download FMT News App:<br/>Google Play – http://bit.ly/2YSuV46<br/>App Store – https://apple.co/2HNH7gZ<br/>Huawei AppGallery - https://bit.ly/2D2OpNP<br/><br/>#BeritaFMT #DonDaniyalDonBiyajid #SalamBaitullah #RTM
⏲ 1:7 👁 170K
FORMULA 1
⏲ 44 minutes 28 seconds 👁 10K
F1Unchained
⏲ 9 minutes 6 seconds 👁 2.5K
EarthX Website: https://earthxmedia.com/ <br/><br/>Joey and Al are one of a kind.<br/><br/>About Kill Your Lawn: <br/>Best friends Joey and Al set out across America to accomplish their mission: carry out a turficidal killing spree and leave a trail of pollinator-friendly, native plant gardens in their wake. It’s time to laugh our way to a lawn-less future!<br/> <br/>This clip comes from Season 2, Episode 8: \
⏲ 0:50 👁 5.3M
Formula Today
⏲ 8 minutes 30 seconds 👁 3.4K
GranaDy
⏲ 30 minutes 58 seconds 👁 5K
EarthX Website: https://earthxmedia.com/ <br/><br/>They're back! For the first time in 50 years, 21 critically endangered black rhinos are stepping into their rightful habitat in northern Kenya after successful relocation.<br/><br/>About EarthxNews:<br/>A weekly program dedicated to covering the stories that shape the planet. Featuring the latest updates in energy, environment, tech, climate, and more.<br/> <br/>EarthX<br/>Love Our Planet. <br/>The Official Network of Earth Day.<br/> <br/>About Us: <br/>At EarthX, we believe our planet is a pretty special place. The people, landscapes, and critters are likely unique to the entire universe, so we consider ourselves lucky to be here. We are committed to protecting the environment by inspiring conservation and sustainability, and our programming along with our range of expert hosts support this mission. We’re glad you’re with us. <br/>  <br/>EarthX is a media company dedicated to inspiring people to care about the planet. We take an omni channel approach to reach audiences of every age through its robust 24/7 linear channel distributed across cable and FAST outlets, along with dynamic, solution oriented short form content on social and digital platforms. EarthX is home to original series, documentaries and snackable content that offer sustainable solutions to environmental challenges. EarthX is the only network that delivers entertaining and inspiring topics that impact and inspire our lives on climate and sustainability. <br/>  <br/> <br/>EarthX Website: https://earthxmedia.com/ <br/> <br/>Follow Us: <br/>Instagram: https://www.instagram.com/earthxtv/ <br/>LinkedIn: https://www.linkedin.com/company/earthxtv <br/>Facebook: https://www.facebook.com/earthxtv <br/> <br/> <br/>How to watch:  <br/>United States:  <br/>- Spectrum <br/>- AT&T U-verse (1267) <br/>- DIRECTV (267) <br/>- Philo <br/>- FuboTV <br/>- Plex <br/> <br/>United Kingdom & Ireland:  <br/>- Sky (180) <br/>- Freeview (79) <br/> <br/>Europe: M7 <br/> <br/>Mexico: Claro & Totalplay <br/>    <br/>#EarthDay #Environment #Sustainability #Eco-friendly #Conservation #EarthxTV #EarthX
⏲ 1:2 👁 10M
Dave Cam
⏲ 21 minutes 39 seconds 👁 2.9K
Adam Couser
⏲ 11 minutes 58 seconds 👁 1.3K
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
Freddie Dobbs
⏲ 15 minutes 9 seconds 👁 6.1K
LinkedIn Ads
⏲ 35 seconds 👁 13.1K
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