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_ten-interesting-facts-about-monkeys-buckle-in.webp "Ten Interesting Facts about Monkeys<br/>Buckle in - it’s time for our fabulous monkey facts!<br/><br/>1. Monkeys are part of a group of animals called primates. This group includes humans, apes, bush babies and lemurs.<br/><br/>2. What is a primate? Well, a primate has a large brain when you contrast it to the size of its body. Primates are also pretty handy climbers because they have long fingers and toes to help them to grip.<br/><br/>3. All monkeys have a tail, even if it’s very very small. <br/><br/>4. Incredibly, there are over 200 different types of monkeys. They’re split into two groups: Old World monkeys and New World monkeys.<br/><br/>5. So where do monkeys live? You’d find Old World monkeys in Africa and Asia. New World monkeys dwell in the tropical rainforests of Central America and South America. <br/><br/>Iphone<br/>Viral<br/>All mobile phone price<br/>Geo news<br/>Ary<br/>Blogger<br/>WordPress<br/>Article writing<br/>How much does Facebook<br/>How much does YouTube<br/>How much does TikTok<br/>")
_initial-access-concepts-some-info-5g-4g-3gpp-wirelesscommunication.webp "Uttama Shikshana")
_introduction-to-3g-pp-lte-3gpp-lte-mobile-communication-system.webp "Ekeeda")
_session-14-introduction-to-supervised-machine-learning-in-open-ran.webp "Welcome to Session 14 of our Open RAN series! In this session, we'll introduce supervised machine learning and its application in designing intelligent systems for Open RAN.<br/><br/><br/>Understanding Supervised Machine Learning:<br/>Supervised machine learning is a type of machine learning where the algorithm learns from labeled data. It involves training a model on a dataset that contains input-output pairs, where the input is the data and the output is the corresponding label or target variable. The algorithm learns to map inputs to outputs by finding patterns in the data. In Open RAN, supervised learning can be used for tasks such as predicting network performance based on historical data.<br/><br/>Types of Supervised Machine Learning:<br/>There are two main types of supervised machine learning: classification and regression. In classification, the algorithm learns to categorize data into predefined classes or categories. For example, it can classify network traffic into different application types (e.g., video streaming, web browsing). Regression, on the other hand, involves predicting continuous values or quantities. It is used when the output variable is a real or continuous value, such as predicting the signal strength of a network connection.<br/><br/>Binary and Multi-Class Classification:<br/>Binary classification involves categorizing data into two classes or categories. For example, it can be used to classify network traffic as either malicious or benign. Multi-class classification, on the other hand, involves categorizing data into more than two classes. It can be used to classify network traffic into multiple application types (e.g., video streaming, social media, email).<br/><br/>Regression in Machine Learning:<br/>Regression is a supervised learning technique used for predicting continuous values or quantities. It involves fitting a mathematical model to the data, which can then be used to make predictions. In Open RAN, regression can be used for tasks such as predicting network latency, throughput, or coverage based on various input variables such as network parameters, traffic patterns, and environmental conditions.<br/><br/>Subscribe to \")
_3gpp-release-18-overview-a-world-of-5g-advanced.webp "ATIS")
_session-27-quick-recap-oran-architecture-vnf-nfv-5g-nodes-and-oran-deployment.webp "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 \")
_beginners-non-terrestrial-networks-ntn.webp "3G4G")
_everything-you-need-to-know-about-5g.webp "IEEE Spectrum")
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_initial-access-concepts-some-info-5g-4g-3gpp-wirelesscommunication.jpg)
_introduction-to-3g-pp-lte-3gpp-lte-mobile-communication-system.jpg)
_session-14-introduction-to-supervised-machine-learning-in-open-ran.jpg)
_3gpp-release-18-overview-a-world-of-5g-advanced.jpg)
_session-27-quick-recap-oran-architecture-vnf-nfv-5g-nodes-and-oran-deployment.jpg)
_beginners-non-terrestrial-networks-ntn.jpg)
_everything-you-need-to-know-about-5g.jpg)
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