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_french-olympic-surfer-fierro-rides-the-waves-to-victory-in-tahiti.jpg "Vahine Fierro becomes the first French surfer to win the women's Tahiti Pro on the waves of Teahupo'o on 29 May, two months before the Olympics surfing events are held at the French Pacific island. Fierro, 24, was born on the neighbouring island of Huahine and, with this success, marked herself down as one of the favourites for Olympic gold.")
⏲ 1:32 👁 30K
_revert-to-islam.jpg "Today's best video Islam is true way of life")
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_session-16-optimizing-open-ran-with-machine-learning-124-concept-overview.jpg "Hello and welcome to Session 16 of our Open RAN series! Today, we're diving into the fascinating world of machine learning and its impact on Open RAN networks. We'll be focusing on how machine learning can boost Open RAN performance, specifically in predicting throughput based on MCS coding schemes. This is a crucial aspect for optimizing network performance and resource allocation in Open RAN environments.<br/><br/>1. Introduction to Machine Learning in Open RAN:<br/>Machine learning plays a pivotal role in enhancing Open RAN networks by enabling predictive capabilities, particularly in throughput optimization. By leveraging machine learning models, Open RAN can predict throughput based on the Modulation and Coding Scheme (MCS) coding scheme. Throughput prediction is critical for optimizing network performance and efficiently allocating resources, ensuring a seamless user experience.<br/><br/>2. Developing Machine Learning Models for Throughput Prediction:<br/>Developing a machine learning model for throughput prediction in Open RAN requires several key considerations. Firstly, the model needs to be trained on a dataset that includes throughput data and corresponding MCS values. The model should be designed to handle the complex relationships between these variables and predict throughput accurately. Mathematical functions and algorithms such as regression and neural networks are commonly used for this purpose, as they can effectively capture the underlying patterns in the data.<br/><br/>3. Deployment of Machine Learning Models in Open RAN:<br/>The deployment of machine learning models in Open RAN involves several steps. Once the model is trained and validated, it is deployed to the network where it operates in real-time. The model continuously monitors network conditions and predicts throughput based on incoming data. This information is then used to dynamically allocate network resources, optimizing performance and ensuring efficient operation.<br/><br/>4. Training Data Acquisition Process:<br/>Acquiring training data for the machine learning model involves collecting throughput data and corresponding MCS values from the network. This data is then cleaned and formatted to remove any inconsistencies or errors. The cleaned data is used to train the model, ensuring that it can accurately predict throughput in various network conditions. The training data acquisition process is crucial as it directly impacts the accuracy and reliability of the machine learning model.<br/><br/>Subscribe to \")
⏲ 5:55 👁 10K
_morocco-outraged-as-netanyahu39s-provocative-map-blunder-disrespects-sovereignty-over-western-sahara.jpg "Prime Minister Benjamin Netanyahu’s office issued an apology after a map displayed during a French TV interview excluded the Western Sahara from Morocco's borders, causing an uproar in the North African kingdom. The incident has highlighted the sensitive nature of territorial disputes in the region and Israel’s stance on Moroccan sovereignty over Western Sahara. <br/> <br/>#Netanyahu #Israel #Morocco #WesternSahara #TerritorialDisputes #Sovereignty #Apology #MapControversy #NorthAfrica #GazaConflict #Rafah #AbrahamAccords #USPolicy #InternationalRelations #MiddleEastPolitics<br/>~PR.152~ED.101~HT.95~")
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_ep99hd-battle-through-the-heavens-5-ep-99-multi-sub.jpg "Subtitle Dutch , French ,German ,Indonesia ,Polish ,Portuguese ,Spanish ,Swedish, Turkish ,Tamil ,English , Chinese ,Turkish<br/><br/>Doupo Cangqiong: Nian Fan / Fights Break Sphere 5th Season<br/>After three years of not seeing each other,Xiao Yan finally met Xun'er at Jia Nan Academy. After that,they became closer and established the Stone Gate (Pan Gate). In order to continue to improve his strength and avenge him on the Misty Cloud Sect,he risked continuing to go deeper into the Qi Refining Pagoda to devour the Fallen Heart Flame.<br/><br/><br/><br/><br/><br/><br/><br/>#btth<br/>#btth5<br/>#btthseason5<br/>#battlethroughtheheavens<br/>#battle through the heaven99<br/>#btth599")
⏲ 16:20 👁 17.2M
_ep99hd-fights-break-sphere-nian-fan-ep-99-sub-indo-124-eng-sub-battle-through-the-heavens-5.jpg "Doupo Cangqiong: Nian Fan / Fights Break Sphere 5th Season<br/><br/>After three years of not seeing each other,Xiao Yan finally met Xun'er at Jia Nan Academy. After that,they became closer and established the Stone Gate (Pan Gate). In order to continue to improve his strength and avenge him on the Misty Cloud Sect,he risked continuing to go deeper into the Qi Refining Pagoda to devour the Fallen Heart Flame")
⏲ 16:24 👁 435K
_6ix9ine-on-xxxtentacion-and-security-f09f958aefb88f.jpg "6ix9ine On XXXTentacion And Security %F0%9F%95%8A%EF%B8%8F")
⏲ 0:44 👁 170K
_i-accidentally-hired-a-billionaire-husband-full.jpg "I Accidentally Hired a Billionaire Husband 1-95")
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_95.jpg "95 from 95 hq0hvn o")
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_ep-1-ep-1-sub-indo-124-124-the-reformation-siblings.jpg "(Ep 1) 战国妖狐：维新兄妹 Ep 1 Sub Indo | 戦国妖狐-世直し姉弟編 | The Reformation Siblings from 95 hq0hvn o")
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_bright-new-images-of-the-dark-universe.jpg "The European Space Agency has released new images from the Euclid mission. <br/><br/>It’s designed to explore the mysterious nature of dark matter and dark energy, which accounts for 95% of space.<br/><br/>#darkmatter #space #esa #universe #darkenergy")
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_i-accidentally-hired-a-billionaire-husband-1-95.jpg "I Accidentally Hired a Billionaire Husband1-95")
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_french-olympic-surfer-fierro-rides-the-waves-to-victory-in-tahiti.webp "Vahine Fierro becomes the first French surfer to win the women's Tahiti Pro on the waves of Teahupo'o on 29 May, two months before the Olympics surfing events are held at the French Pacific island. Fierro, 24, was born on the neighbouring island of Huahine and, with this success, marked herself down as one of the favourites for Olympic gold.")
_revert-to-islam.webp "Today's best video Islam is true way of life")
_session-16-optimizing-open-ran-with-machine-learning-124-concept-overview.webp "Hello and welcome to Session 16 of our Open RAN series! Today, we're diving into the fascinating world of machine learning and its impact on Open RAN networks. We'll be focusing on how machine learning can boost Open RAN performance, specifically in predicting throughput based on MCS coding schemes. This is a crucial aspect for optimizing network performance and resource allocation in Open RAN environments.<br/><br/>1. Introduction to Machine Learning in Open RAN:<br/>Machine learning plays a pivotal role in enhancing Open RAN networks by enabling predictive capabilities, particularly in throughput optimization. By leveraging machine learning models, Open RAN can predict throughput based on the Modulation and Coding Scheme (MCS) coding scheme. Throughput prediction is critical for optimizing network performance and efficiently allocating resources, ensuring a seamless user experience.<br/><br/>2. Developing Machine Learning Models for Throughput Prediction:<br/>Developing a machine learning model for throughput prediction in Open RAN requires several key considerations. Firstly, the model needs to be trained on a dataset that includes throughput data and corresponding MCS values. The model should be designed to handle the complex relationships between these variables and predict throughput accurately. Mathematical functions and algorithms such as regression and neural networks are commonly used for this purpose, as they can effectively capture the underlying patterns in the data.<br/><br/>3. Deployment of Machine Learning Models in Open RAN:<br/>The deployment of machine learning models in Open RAN involves several steps. Once the model is trained and validated, it is deployed to the network where it operates in real-time. The model continuously monitors network conditions and predicts throughput based on incoming data. This information is then used to dynamically allocate network resources, optimizing performance and ensuring efficient operation.<br/><br/>4. Training Data Acquisition Process:<br/>Acquiring training data for the machine learning model involves collecting throughput data and corresponding MCS values from the network. This data is then cleaned and formatted to remove any inconsistencies or errors. The cleaned data is used to train the model, ensuring that it can accurately predict throughput in various network conditions. The training data acquisition process is crucial as it directly impacts the accuracy and reliability of the machine learning model.<br/><br/>Subscribe to \")
_morocco-outraged-as-netanyahu39s-provocative-map-blunder-disrespects-sovereignty-over-western-sahara.webp "Prime Minister Benjamin Netanyahu’s office issued an apology after a map displayed during a French TV interview excluded the Western Sahara from Morocco's borders, causing an uproar in the North African kingdom. The incident has highlighted the sensitive nature of territorial disputes in the region and Israel’s stance on Moroccan sovereignty over Western Sahara. <br/> <br/>#Netanyahu #Israel #Morocco #WesternSahara #TerritorialDisputes #Sovereignty #Apology #MapControversy #NorthAfrica #GazaConflict #Rafah #AbrahamAccords #USPolicy #InternationalRelations #MiddleEastPolitics<br/>~PR.152~ED.101~HT.95~")
_ep99hd-battle-through-the-heavens-5-ep-99-multi-sub.webp "Subtitle Dutch , French ,German ,Indonesia ,Polish ,Portuguese ,Spanish ,Swedish, Turkish ,Tamil ,English , Chinese ,Turkish<br/><br/>Doupo Cangqiong: Nian Fan / Fights Break Sphere 5th Season<br/>After three years of not seeing each other,Xiao Yan finally met Xun'er at Jia Nan Academy. After that,they became closer and established the Stone Gate (Pan Gate). In order to continue to improve his strength and avenge him on the Misty Cloud Sect,he risked continuing to go deeper into the Qi Refining Pagoda to devour the Fallen Heart Flame.<br/><br/><br/><br/><br/><br/><br/><br/>#btth<br/>#btth5<br/>#btthseason5<br/>#battlethroughtheheavens<br/>#battle through the heaven99<br/>#btth599")
_ep99hd-fights-break-sphere-nian-fan-ep-99-sub-indo-124-eng-sub-battle-through-the-heavens-5.webp "Doupo Cangqiong: Nian Fan / Fights Break Sphere 5th Season<br/><br/>After three years of not seeing each other,Xiao Yan finally met Xun'er at Jia Nan Academy. After that,they became closer and established the Stone Gate (Pan Gate). In order to continue to improve his strength and avenge him on the Misty Cloud Sect,he risked continuing to go deeper into the Qi Refining Pagoda to devour the Fallen Heart Flame")
_6ix9ine-on-xxxtentacion-and-security-f09f958aefb88f.webp "6ix9ine On XXXTentacion And Security %F0%9F%95%8A%EF%B8%8F")
_i-accidentally-hired-a-billionaire-husband-full.webp "I Accidentally Hired a Billionaire Husband 1-95")
_95.webp "95 from 95 hq0hvn o")
_ep-1-ep-1-sub-indo-124-124-the-reformation-siblings.webp "(Ep 1) 战国妖狐：维新兄妹 Ep 1 Sub Indo | 戦国妖狐-世直し姉弟編 | The Reformation Siblings from 95 hq0hvn o")
_bright-new-images-of-the-dark-universe.webp "The European Space Agency has released new images from the Euclid mission. <br/><br/>It’s designed to explore the mysterious nature of dark matter and dark energy, which accounts for 95% of space.<br/><br/>#darkmatter #space #esa #universe #darkenergy")
_i-accidentally-hired-a-billionaire-husband-1-95.webp "I Accidentally Hired a Billionaire Husband1-95")
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