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_the-knit-and-natter-group-nether-langwith-d-day-display-on-the-village-green.webp "The knit and natter group, Nether Langwith D-Day display on the Village Green")
_swiatek-flattered-by-nadal-comparison.webp "Iga Swiatek says comparisons to Rafael Nadal are 'cool' after reaching her third consecutive French Open final")
_scopwick39s-d-day-beacon-event.webp "Scopwick villagers joined in a nationwide chain of beacons lit on the evening of Thursday June 6 to commemorate the 80th anniversray of D-Day landings in 1944. They also held an exhibition in the village hall with people in period costume, music, food and wartime vehicles on display."){kind=tracking}
_the-kargil-chronicles-capt-shailesh-rialch-124-a-dreamer-who-aimed-to-soar-high-in-life.webp "Capt. Shailesh Rialch, a dedicated and valiant officer, served with his Workshop Company as part of an Infantry Brigade in South Kashmir during a period of heightened insurgency. On the night of November 23, 1999, upon receiving intelligence about terrorists in a village, Shailesh volunteered for a Cordon and Search Operation. Displaying extraordinary bravery, he prevented a terrorist from breaking the cordon and escaping on the morning of November 24. In the ensuing gunfight, Shailesh was mortally wounded, making the ultimate sacrifice for his country. For his exceptional courage, he was posthumously awarded the Sena Medal. Remembered fondly as 'Rambo' by his comrades from the 91st Course of the National Defence Academy, Shailesh was known for his cheerful disposition, his ability to lift spirits, and his unwavering dedication. His legacy of bravery and kindness lives on in the hearts of those who knew him. <br/> <br/> <br/>#KargilChronicles #CaptShaileshRialch #KargilHero #KargilDiwas #KargilDiwas2024 #IndianArmy #SenaMedal #KargilWar #HeroicSacrifice #Bravery #Patriotism #IndianDefence #KargilVijayDiwas #NationalDefenceAcademy #RememberingOurHeroes<br/>~HT.178~PR.152~GR.125~")
_andreeva-admits-39negative-thoughts39-take-over-after-defeat.webp "Andreeva admits she finds it hard to get over the disappointment of losing after her defeat to Jasmine Paolini")
_gauff-calls-for-vr-system-for-umpires-after-french-open-disappointment.webp "Gauff has called for the introduction of a replay system for umpires after her French Open semi-final exit.")
_breaking-news-djokovic-withdraws-from-french-open.webp "Novak Djokovic has withdrawn from this year's French Open ahead of Ruud quarter-final due to a knee injury.")
_andreeva-39didn39t-expect39-to-be-in-the-french-open-semi-finals.webp "Mirra Andreeva admits it's 'a dream' to be in the final four at Roland Garros after beating Aryna Sabalenka")
_snapchat-1207488821.webp "Beautiful village video")
_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 \")
_anwar-emphasises-unity-at-kaamatan-celebration-in-sabah.webp "Sabahans eagerly greeted Datuk Seri Anwar Ibrahim as he toured the cultural village at the Kadazandusun Cultural Association (KDCA) grounds in Penampang on Friday (May 31).<br/><br/>The Prime Minister was in town to close the month-long state-level Kaamatan, or Harvest Festival.<br/><br/>Read more at https://shorturl.at/ACQDE<br/><br/>WATCH MORE: https://thestartv.com/c/news<br/>SUBSCRIBE: https://cutt.ly/TheStar<br/>LIKE: https://fb.com/TheStarOnline")
_village-short-videos.webp "Enjoy everyone<br/>Entertainment<br/>Best quality<br/>")
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