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(Ep12) Sepenuh Hatiku Kisah Cintaku Dengan Mantanku Ep 12 Sub Indo (Fully Love Story with my Ex Boyfriend)
⏲ 23:40 👁 15K
Looney Tuesdays We re Always_Up_to_No_Good Looney Tunes WB_Kids
⏲ 15:26 👁 40K
French Olympic surfer Fierro rides the waves to victory in Tahiti
⏲ 1:32 👁 30K
The West Block- June 2, 2024 - Will Donald Trump’s felony conviction impede his re-election bid
⏲ 23:25 👁 15K
Revert to Islam
⏲ 1:21 👁 10K
बाप रे बच्चे ने मछली पकड़ लीBaap re Bacche Ne fish Pakar Li
⏲ 0:25 👁 10K
Session 16: Optimizing Open RAN with Machine Learning | concept overview
⏲ 5:55 👁 10K
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_ep12-sepenuh-hatiku-kisah-cintaku-dengan-mantanku-ep-12-sub-indo-fully-love-story-with-my-ex-boyfriend.jpg "After her boyfriend breaks up with her for another girl, College Girl grapples with her broken heart and the memories she left behind. Loading up Forest of Savior, an MMO they used to play together, he makes a plan to get back at his ex-girlfriend through a face-to-face event for the game.<br/>")
_looney-tuesdays-we-re-always-up-to-no-good-looney-tunes-wb-kids.jpg "Looney Tunes is another classic animated television series created by Warner Bros. The show features a variety of iconic characters such as Bugs Bunny, Daffy Duck, Porky Pig, and many others who engage in comedic and slapstick adventures. Looney Tunes originally aired in the 1930s and has continued to be popular with audiences of all ages. WB Kids is the online platform where new episodes and clips of Looney Tunes, as well as other Warner Bros. animated shows, can be watched. It's a great place to enjoy classic cartoons and relive nostalgic moments.")
_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.")
_the-west-block-june-2-2024-will-donald-trumps-felony-conviction-impede-his-re-election-bid.jpg "Crime has been on the rise, according to Statistics Canada’s Violent Crime Severity Index. RCMP officials have told Global News that 53 per cent of the homicides committed in their jurisdiction have been perpetrated by someone on community release, parole or probation. ‘The West Block’ host Mercedes Stephenson interviews Justice Minister Arif Virani about his government’s bail reforms for violent repeat offenders. Minister Virani also addresses the recent attacks at two Jewish schools and a synagogue.<br/><br/>Plus, a New York jury found former U.S. president Donald Trump guilty on all 34 counts of falsifying business records in a hush-money trial. This marks the first time in U.S. history that a former or serving president has been criminally convicted. Stephenson speaks with David Frum, political commentator and staff writer at The Atlantic, about the significance of the conviction and its potential impact on Trump’s bid to be re-elected U.S. president.")
_revert-to-islam.jpg "Today's best video Islam is true way of life")
_baap-re-bacche-ne-fish-pakar-li.jpg "Baap re Bacche Ne fish Pakar Liबाप रे बच्चे ने मछली पकड़ ली <br/>#viral #shorts #millions #trendings<br/><br/>This Video is Just Entertainment You, don't Take this video Seriously<br/><br/>This Video is Only for Education Purpose. No one Harmed In this Video<br/><br/>Thanks For Watching")
_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 \")
_ep12-sepenuh-hatiku-kisah-cintaku-dengan-mantanku-ep-12-sub-indo-fully-love-story-with-my-ex-boyfriend.webp "After her boyfriend breaks up with her for another girl, College Girl grapples with her broken heart and the memories she left behind. Loading up Forest of Savior, an MMO they used to play together, he makes a plan to get back at his ex-girlfriend through a face-to-face event for the game.<br/>")
_looney-tuesdays-we-re-always-up-to-no-good-looney-tunes-wb-kids.webp "Looney Tunes is another classic animated television series created by Warner Bros. The show features a variety of iconic characters such as Bugs Bunny, Daffy Duck, Porky Pig, and many others who engage in comedic and slapstick adventures. Looney Tunes originally aired in the 1930s and has continued to be popular with audiences of all ages. WB Kids is the online platform where new episodes and clips of Looney Tunes, as well as other Warner Bros. animated shows, can be watched. It's a great place to enjoy classic cartoons and relive nostalgic moments.")
_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.")
_the-west-block-june-2-2024-will-donald-trumps-felony-conviction-impede-his-re-election-bid.webp "Crime has been on the rise, according to Statistics Canada’s Violent Crime Severity Index. RCMP officials have told Global News that 53 per cent of the homicides committed in their jurisdiction have been perpetrated by someone on community release, parole or probation. ‘The West Block’ host Mercedes Stephenson interviews Justice Minister Arif Virani about his government’s bail reforms for violent repeat offenders. Minister Virani also addresses the recent attacks at two Jewish schools and a synagogue.<br/><br/>Plus, a New York jury found former U.S. president Donald Trump guilty on all 34 counts of falsifying business records in a hush-money trial. This marks the first time in U.S. history that a former or serving president has been criminally convicted. Stephenson speaks with David Frum, political commentator and staff writer at The Atlantic, about the significance of the conviction and its potential impact on Trump’s bid to be re-elected U.S. president.")
_revert-to-islam.webp "Today's best video Islam is true way of life")
_baap-re-bacche-ne-fish-pakar-li.webp "Baap re Bacche Ne fish Pakar Liबाप रे बच्चे ने मछली पकड़ ली <br/>#viral #shorts #millions #trendings<br/><br/>This Video is Just Entertainment You, don't Take this video Seriously<br/><br/>This Video is Only for Education Purpose. No one Harmed In this Video<br/><br/>Thanks For Watching")
_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 \")
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