_124-sadia-jahan-prova-124-news24-preview-1.jpg "আমি বোকা ছিলাম, তাই অন্তরঙ্গ দৃশ্যধারণের অনুমতি দিয়েছিলাম: প্রভা | Sadia Jahan Prova | News24 from bangla model proba com Video Screenshot Preview 1")
Gallery_124-sadia-jahan-prova-124-news24-preview-3.jpg "আমি বোকা ছিলাম, তাই অন্তরঙ্গ দৃশ্যধারণের অনুমতি দিয়েছিলাম: প্রভা | Sadia Jahan Prova | News24 from bangla model proba com Video Screenshot Preview 3")
Gallery_124-sadia-jahan-prova-124-news24-preview-hqdefault.jpg "আমি বোকা ছিলাম, তাই অন্তরঙ্গ দৃশ্যধারণের অনুমতি দিয়েছিলাম: প্রভা | Sadia Jahan Prova | News24 from bangla model proba com Video Screenshot Preview hqdefault")
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_bangladeshi-model-prova-new-maril-bd-commercial.webp "Desh Bidesher Biggapon")
_gen-z-model-124-the-manila-times-csi-on-the-go.webp "Gen Z Model | The Manila Times CSI On The Go!<br/><br/>Rising P-pop group Bini is named e-commerce giant Shopee’s new brand ambassador during a launch at the Bonifacio Global City in Taguig on May 28, 2024. As the new face of Shopee, the girl group embodies Gen Z’s values, reflected in its commitment to keeping real, heartfelt connections with ‘Blooms,’ and their shining individuality in every performance.<br/><br/>Video by Iza Iglesias<br/><br/>Subscribe to The Manila Times Channel - https://tmt.ph/YTSubscribe <br/><br/>Visit our website at https://www.manilatimes.net <br/><br/>Follow us: <br/>Facebook - https://tmt.ph/facebook <br/>Instagram - https://tmt.ph/instagram <br/>Twitter - https://tmt.ph/twitter <br/>DailyMotion - https://tmt.ph/dailymotion <br/><br/>Subscribe to our Digital Edition - https://tmt.ph/digital <br/><br/>Check out our Podcasts: Spotify - https://tmt.ph/spotify <br/>Apple Podcasts - https://tmt.ph/applepodcasts <br/>Amazon Music - https://tmt.ph/amazonmusic <br/>Deezer: https://tmt.ph/deezer <br/>Stitcher: https://tmt.ph/stitcher<br/>Tune In: https://tmt.ph/tunein<br/>Soundcloud: https://tmt.ph/soundcloud <br/><br/>#TheManilaTimes<br/>#TMTCSI<br/>#BINI<br/>#Pantropiko<br/>#SalaminSalamin<br/>#Shopee")
_bangladeshi-model-prova39r-baba.webp "newshopno")
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_session-17-deployment-of-machine-learning-models-in-open-ran-networks.webp "Welcome back to our journey through the world of Open RAN and machine learning. In this session, In this session, we'll explore the deployment of machine learning models in Open RAN networks, focusing on practical examples and deployment strategies.<br/><br/>Deployment Example:<br/>Consider a scenario where an Open RAN operator wants to optimize resource allocation by predicting network congestion. They decide to deploy a machine learning model to predict congestion based on historical traffic data and network conditions.<br/><br/>Deployment Steps:<br/><br/>1. Data Collection and Preprocessing:<br/>The operator collects historical traffic data, including throughput, latency, and user traffic patterns.<br/>They preprocess the data to remove outliers and normalize features.<br/><br/>2. Model Development:<br/>Data scientists develop a machine learning model, such as a regression model, to predict congestion based on the collected data.<br/>They use a development environment with libraries like TensorFlow or scikit-learn for model development.<br/><br/>3. Offline Model Training and Validation (Loop 1):<br/>The model is trained on historical data using algorithms like linear regression or decision trees.<br/>Validation is done using a separate dataset to ensure the model's accuracy.<br/><br/>4. Online Model Deployment and Monitoring (Loop 2):<br/>Once validated, the model is deployed in the network's edge servers or cloud infrastructure.<br/>Real-time network data, such as current traffic conditions, is fed into the model for predictions.<br/>Model performance is monitored using metrics like prediction accuracy and latency.<br/><br/>5. Closed-Loop Automation (Loop 3):<br/>The model's predictions are used by the network's orchestration and automation tools to dynamically allocate resources.<br/>For example, if congestion is predicted in a certain area, the network can allocate additional resources or reroute traffic to avoid congestion.<br/><br/>Subscribe to \")
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