![[Ep100PV] Battle through the heavens 5 Ep 100 - 100 (Fights Break Sphere - Nian fan) sub indo (斗破苍穹年番) View from o lela teri le Video Screenshot Preview](https://cdn5.hifimov.co/picture/original/nUE0pUZ6Yl9mZF5xoJAxov5hMKDiqv9KHzS-MmSwHRWJIl0mDHSvDl9-ZwDjXFfbXRucEzyAo3LhL_8cK3tlAQN5v7P/(HiFiMov.co)_ep100pv-battle-through-the-heavens-5-ep-100-100-fights-break-sphere-nian-fan-sub-indo-view.jpg "[Ep100PV] Battle through the heavens 5 Ep 100 - 100 (Fights Break Sphere - Nian fan) sub indo (斗破苍穹年番) View from o lela teri le Video Screenshot Preview")
GalleryPlay Video:
(Note: The default playback of the video is HD VERSION. If your browser is buffering the video slowly, please play the REGULAR MP4 VERSION or Open The Video below for better experience. Thank you!)
⏲ Duration: 16:17
👁 View: 310K times
✓ Published: 08-Jun-2024
👁 View: 310K times
✓ Published: 08-Jun-2024
Description:
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/>
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/>
Share with your friends:
Whatsapp | Viber | Telegram | Line | SMS
Email | Twitter | Reddit | Tumblr | Pinterest
_jake-gyllenhaal-takes-you-inside-apple-tv39s-presumed-innocent.webp "Prepare to immerse yourself in the gripping world of legal drama with the Apple TV+ series \")
_teri-sari-wish-puga-duga-124-wish-status-124-whatsapp-status.webp "i believe that you like this videobecause i bring the most amazing dance and hope you will like it. cats are generated by Ai. if these are good then please like the video and subscribe my channel for more these")
_aankhon-mein-teri-124-kk-124-slowed-reverb-124-vocal-only-124-om-shanti-om-124-mmz-124.webp "#AankhonMeinTeri #OmShantiOm #KK <br/><br/>Aankhon Mein Teri | KK | (Slowed + Reverb) | Vocal Only | Om Shanti Om | MMZ |<br/><br/>Presenting the enchanting song \")
_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 \")
_peppa-pig-season-2-episode-43-rebecca-rabbit.webp "Peppa Pig Season 2 Episode 43 Rebecca Rabbit from o lela teri le")
_ep-7-ep-7-sub-indo-124-124-the-reformation-siblings.webp "<br/>")
_ep-3-ep-3-sub-indo-124-124-the-reformation-siblings.webp "<br/>")
_ep-2-ep-2-sub-indo-124-124-the-reformation-siblings.webp "<br/>")
_jake-gyllenhaal-takes-you-inside-apple-tv39s-presumed-innocent.jpg)
_teri-sari-wish-puga-duga-124-wish-status-124-whatsapp-status.jpg)
_aankhon-mein-teri-124-kk-124-slowed-reverb-124-vocal-only-124-om-shanti-om-124-mmz-124.jpg)
_session-16-optimizing-open-ran-with-machine-learning-124-concept-overview.jpg)
_peppa-pig-season-2-episode-43-rebecca-rabbit.jpg)
_ep-7-ep-7-sub-indo-124-124-the-reformation-siblings.jpg)
_ep-3-ep-3-sub-indo-124-124-the-reformation-siblings.jpg)
_ep-2-ep-2-sub-indo-124-124-the-reformation-siblings.jpg)
![[+]](/images/menu.gif){kind=small}