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Attend a free demo session online of Cursive handwriting and Print handwriting for kids.<br/><br/>Cursive and Printt Handwriting improvement and cursive writing Classes*<br/><br/>*Learning Goals-* <br/><br/>1️⃣ *Handwriting improvement tips and tricks *<br/>2️⃣ *Teach from basics and formation of letters* <br/><br/> Improve your handwriting..<br/>And cursive handwriting..<br/><br/>New batch starting soon<br/><br/>*Age Criteria* - 6 years +<br/><br/>*Material Required*<br/>single line copy or four line copy <br/>Pen or pencil<br/><br/>Comment yes to join

hands writing improvement classes for beginners \neat and clean handwriting by @DiaShaho #viralvideo #shorts

⏲ 0:35 👁 10K

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 \

Session 16: Optimizing Open RAN with Machine Learning | concept overview

⏲ 5:55 👁 10K

In this video, golf's biggest YouTuber Rick Shiels walks you through his ultimate 30 minute range session. Starting with the basics around the technique, he then moves onto into some of the games and challenges you can take on at the range that will improve your overall skill set. Use Rick's framework to power boost your game for the year ahead.

Rick Shiels - Ultimate 30-Minute Golf Range Session

⏲ 19:34 👁 625K

Reality star Kim Kardashian has revealed that she's never attended a therapy session.

Kim Kardashian: I have the best friends in the entire world

⏲ 1:3 👁 10K

Keith Gill, aka 'Roaring Kitty', seemingly held on to his large GameStop position even after a significant rally on Monday. GameStop shares surged over 20% during Monday’s session, with an intraday high of 70%. Gill posted a screenshot of his portfolio after the market closed on Monday, showing the same common stock and call option holdings as he did on Sunday evening. His holdings included 5 million shares of GameStop and 120,000 call options with a $20 strike price expiring on June 21. GameStop shares climbed about 4% in extended trading following his post. The value of his common stock stake increased from over $115 million to $140 million in one day.

Roaring Kitty Holds Onto Massive GameStop Position Despite Monday's Rally

⏲ 0:45 👁 215K

Alaya F recently dropped an impressive video as she balanced on a ball during her gym session. Priyanka Chopra was clearly impressed by her. Alaya has been turning heads lately with her presence in movies like Bade Miyan Chote Miyan followed by Srikanth. Apart from her acting skills, she is quite active on her social media as well, where she is often seen posting her daily life updates.<br/><br/> #alayaf #fitnessmotivation #fitness #gym #gyminspiration #alaya #fashion #yoga #bollywood #viralvideo #trending #fashionalert #entertainmentnews

Priyanka Chopra is mighty impressed by Alaya F’s fitness session

⏲ 1:45 👁 165K

In this session, we'll provide a quick recap of key concepts in Open RAN (ORAN) and 5G technology. We'll cover the ORAN architecture, Virtualized Network Functions (VNF), Network Functions Virtualization (NFV) Management (NFVM), 5G nodes, and ORAN deployment strategies. This summary will help reinforce your understanding and prepare you for more advanced topics. Join us to revisit these crucial elements and see how they come together to shape the future of telecommunications.<br/><br/>ORAN Architecture:<br/>* Overview: Modular and open architecture promoting interoperability and flexibility.<br/>* Benefits: Encourages innovation by allowing different vendors' components to work together.<br/><br/>Virtualized Network Functions (VNF):<br/>* Software implementations of network functions that run on virtualized infrastructure.<br/>* Advantages: Offers flexibility, scalability, and cost-efficiency in managing network services.<br/><br/>Network Functions Virtualization (NFV) Management (NFVM):<br/>* Role: Manages the lifecycle of VNFs, including deployment, scaling, and orchestration.<br/>* Importance: Ensures efficient and dynamic network operations.<br/><br/>5G Nodes:<br/>* Types: gNodeB (gNB) for 5G NR and ng-eNodeB (ng-eNB) for 4G evolved to support 5G.<br/>* Functionality: Provide radio access and connect users to the 5G core network.<br/><br/>ORAN Deployment:<br/>* Approaches: Includes centralized, distributed, and hybrid deployment models.<br/>* Impact: Enhances network performance, reduces costs, and accelerates deployment times.<br/><br/><br/>Subscribe to \

Session 27: Quick Recap - ORAN Architecture, VNF, NFV, 5G Nodes, and ORAN Deployment

⏲ 6:31 👁 25K

Ed Sheeran has explained why he piled on the pounds during his \

Ed Sheeran put on four stone after eating 'chicken wings for a year and a half'

⏲ 1:16 👁 20K

This comical video captures a serene moment quickly turning into a scene of hilarious chaos.<br/><br/>The filmer, Mark, is lounging on the couch, chilling with his calm and relaxed doggo, enjoying a quiet TV session.<br/><br/>Suddenly, the tranquility is shattered by the thunderous entrance of his hyperenergetic other doggo, who is clearly in the midst of an epic case of the zoomies.<br/><br/>Like a furry missile, the zoomie-powered doggo charges into the room, leaps onto Mark with perfect precision, uses him as a springboard, and catapults back onto the floor before bolting out of the room.<br/><br/>Mark’s startled expression and his laid-back dog's bewildered look make the scene even funnier. <br/>Location: Portsmouth, UK<br/>WooGlobe Ref : WGA137046<br/>For licensing and to use this video, please email licensing@wooglobe.com

Dog uses human as a springboard for high-flying fun while engulfed in a vortex of zoomies

⏲ 0:26 👁 20K

-- The Crawler - Playthrough (PSX-style horror game) --<br/>In the middle of a forest, a group of kids stop by a supermarket to grab some snacks. As they wander through the aisles, strange things start to happen. They soon realize they are not alone. The main character must uncover the secrets of the supermarket and find a way out before it’s too late.<br/><br/>Average playtime: 8 - 14 minutes<br/><br/>https://mintnim.itch.io/the-crawler<br/><br/>Published9 days ago<br/>Status Released<br/>Platforms Windows<br/>Author mintnim<br/>Genre Adventure<br/>Made with Unity, Blender<br/>Tags 3D, Atmospheric, Dark, First-Person, Horror, Indie, PSX (PlayStation), Retro, Singleplayer, Unity<br/>Average session A few minutes<br/>Languages English<br/>Inputs Keyboard, Mouse<br/><br/>-- The Crawler - Playthrough (PSX-style horror game) --

The Crawler - Playthrough (PSX-style horror game)

⏲ 10:15 👁 15K

In this session, we delve into the crucial components of Open RAN: new front haul eCPRI, mid haul, and back haul connectivity. Understanding these elements is essential for optimizing network performance. We'll cover why new front haul eCPRI is needed, explain the roles of mid haul and back haul, and discuss the advancements required in Open RAN to meet the super-fast latency and throughput demands of modern networks. Join us to learn how these connectivity solutions enhance Open RAN deployments.<br/><br/>Welcome to Session 25! Today, we explore the essential parts of Open RAN connectivity: new front haul eCPRI, mid haul, and back haul. Understanding these components is key to enhancing network performance. We’ll discuss:<br/><br/>Why new front haul eCPRI is needed:<br/>* Enhanced Common Public Radio Interface (eCPRI) is an updated version of CPRI, essential for modern high-speed networks.<br/>* Benefits: Offers better bandwidth, reduced latency, and improved scalability compared to traditional CPRI.<br/><br/>What is mid haul:<br/>* Mid haul connects the centralized unit (CU) and distributed unit (DU) within the network.<br/>* Importance: Essential for efficient data transmission between the central and edge components, enabling flexibility in network deployment.<br/><br/>What is back haul:<br/>* Back haul refers to the connections between the distributed unit (DU) and the core network.<br/>* Role: Critical for carrying data from the edge of the network to the core, ensuring seamless communication and data flow.<br/><br/>Why these are needed in Open RAN:<br/>* These connectivity solutions enable the modular and scalable architecture of Open RAN.<br/>* Performance: They are crucial for achieving the desired network performance, including low latency and high throughput.<br/><br/>Advancements required in Open RAN:<br/>* Super-fast latency: To meet the demands of modern applications, Open RAN must continuously evolve to provide ultra-low latency.<br/>* High throughput: Ensuring high data transfer rates is necessary to support the growing data demands of users and applications.<br/><br/>By the end of this session, you'll have a clear understanding of how new front haul eCPRI, mid haul, and back haul connectivity work together to optimize Open RAN deployments, making them ready for the future of telecom networks.<br/><br/><br/>Subscribe to \

Session 25: Open RAN | New Front Haul eCPRI, Mid Haul and Back Haul Connectivity and new requirement

⏲ 5:5 👁 15K

Senate panel conducts executive session to discuss issues concerning suspended Bamban Mayor Guo

Senate panel conducts executive session to discuss issues concerning suspended Bamban Mayor Guo

⏲ 2:52 👁 10K

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