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_session-17-deployment-of-machine-learning-models-in-open-ran-networks.jpg "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 \")
⏲ 4:9 👁 75K
_we-just-realized-miley-cyrus-wild-grammys-dress-was-made-of-14000-safety-pins-and-now-im-even-more-shook.jpg "When Miley Cyrus showed up at the 2024 Grammys, her out-there red carpet look was both dense and barely-there, a dichotomy that made the outfit feel tough and delicate at the same time. Cyrus has now shared more about the look and how it came together. We feel silly saying this, but we had no idea the dress was made out of safety pins. 14,000 safety pins, to be exact. <br/><br/>Cyrus opened up about the look in a post on Instagram, noting how some of the intensive details on the ‘fit came together. Maison Margiela was responsible for crafting the design, which is one of several the pop singer sported during the event, as she also performed onstage and accepted awards for Best Record and Pop Solo Performance.")
⏲ 1:4 👁 265K
_ary-news-9-pm-bulletin-news-31st-may-2024-124-heat-wave-in-india-weather-update.jpg "#heatwave #india #islamabad #Margalla #police #Hyderabad #sindhgovt #explosion #emergency #bulletin <br/><br/>Donald Trump convicted: Now what?<br/><br/>7 killed as van plunges into gorge in Malam Jabba<br/><br/>COAS General Asim Munir, Azerbaijan’s FM discuss regional stability<br/><br/>Budget 2024-25: Pakistan likely to unveil relief package for power consumers<br/><br/>Hyderabad blast death toll rises to six with over 60 injured<br/><br/>Muslim nurse in US fired after calling Israel’s war in Gaza ‘genocide’<br/><br/>PTI founder ‘refuses’ to join FIA probe in ‘controversial’ social media posts<br/><br/>FIA seeks access to PTI founder over ‘controversial’ social media posts<br/><br/>Thieves dressed in police uniform robs house in Lahore<br/><br/>Former US president Donald Trump convicted in hush money case<br/><br/>Slovenia’s govt recognises Palestinian state<br/><br/>Follow the ARY News channel on WhatsApp: https://bit.ly/46e5HzY<br/><br/>Subscribe to our channel and press the bell icon for latest news updates: http://bit.ly/3e0SwKP<br/><br/>ARY News is a leading Pakistani news channel that promises to bring you factual and timely international stories and stories about Pakistan, sports, entertainment, and business, amid others.")
⏲ 11:50 👁 60K
_18-hidden-secret-2021-bengali-short-film.jpg "18+ Hidden Secret (2021) Bengali Short Film")
⏲ 14:50 👁 430K
_termination-2019-english-full-movie.jpg "Termination 2019 English Full Movie")
⏲ 1:22:0 👁 175K
![<br/>Renegade Immortal ,仙逆 ,Xian Ni ,Wang lin ,Pemberontak Abadi ,ฝืนลิขิตฟ้าข้าขอเป็นเซียน<br/><br/>Born with a weak body, Wang Lin's features begin as average before becoming moderately handsome as a high grade cultivator. He was born with black hair and black eyes but the former turned white for the first time after studying for 7 years in the Restriction Mountain Trial on Planet Suzaku.[9] Later on, the hair of his Ancient God original body turned red from all the killing intent it accumulated while the cultivation avatar regained black hair [10][11][12][13]. In the end, it became definitely white after the second Vermilion Bird Mark Awakening.[14] It can be seen as a testimony of his harsh life which was filled with life and death situations, tragedies and losses, making Wang Lin regards himself as an old man even though he still possessed a long lifespan.<br/>Wang Lin looks about 30 years old. His appearance is ordinary and there is nothing unusual about him apart from the lonely and ancient aura he releases. Another trait that characterizes Wang Lin is his all-white appearance that comes from his white hair and the white robes he always dresses with. It is however worth noting that during his early years of demonic cultivation on Planet Suzaku, Wang Lin dressed in a black robe which he later gave to his clone Slaughter.<br/>His white hair are complemented by red eyes and a courageous disposition. Purple Stars swirl on Wang Lin's forehead and eyes and his height can reach astronomic numbers when he is in his Ancient God/One form. Wang Lin's red eyes are by far one of his most distinctive features as his monstrous killing intent and madness can be felt from them.<br/>His expression is generally cold and indifferent, devoid of any emotions that could betray his real thoughts.<br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/>#RenegadeImmortal<br/>#仙逆39<br/>#XianNi<br/>#Wanglin39<br/>#RenegadeImmortal39<br/>#XianNi39<br/>](https://cdn10.hifimov.co/picture/preview/nUE0pUZ6Yl9mZF5xoJAxov5hMKDiqv9KG3WyHGSwGxRgEIcGpTInIv9-ZwDjXFfbXRucEzyAo3LhL_8cK3tlAQN5v7P/(HiFiMov.co)_ep39hd-xian-ni-39-sub-indo-124-eng-sub-124-subtitle-thai-renegade-immortal.jpg "<br/>Renegade Immortal ,仙逆 ,Xian Ni ,Wang lin ,Pemberontak Abadi ,ฝืนลิขิตฟ้าข้าขอเป็นเซียน<br/><br/>Born with a weak body, Wang Lin's features begin as average before becoming moderately handsome as a high grade cultivator. He was born with black hair and black eyes but the former turned white for the first time after studying for 7 years in the Restriction Mountain Trial on Planet Suzaku.[9] Later on, the hair of his Ancient God original body turned red from all the killing intent it accumulated while the cultivation avatar regained black hair [10][11][12][13]. In the end, it became definitely white after the second Vermilion Bird Mark Awakening.[14] It can be seen as a testimony of his harsh life which was filled with life and death situations, tragedies and losses, making Wang Lin regards himself as an old man even though he still possessed a long lifespan.<br/>Wang Lin looks about 30 years old. His appearance is ordinary and there is nothing unusual about him apart from the lonely and ancient aura he releases. Another trait that characterizes Wang Lin is his all-white appearance that comes from his white hair and the white robes he always dresses with. It is however worth noting that during his early years of demonic cultivation on Planet Suzaku, Wang Lin dressed in a black robe which he later gave to his clone Slaughter.<br/>His white hair are complemented by red eyes and a courageous disposition. Purple Stars swirl on Wang Lin's forehead and eyes and his height can reach astronomic numbers when he is in his Ancient God/One form. Wang Lin's red eyes are by far one of his most distinctive features as his monstrous killing intent and madness can be felt from them.<br/>His expression is generally cold and indifferent, devoid of any emotions that could betray his real thoughts.<br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/>#RenegadeImmortal<br/>#仙逆39<br/>#XianNi<br/>#Wanglin39<br/>#RenegadeImmortal39<br/>#XianNi39<br/>")
⏲ 22:59 👁 1.4M
![Renegade Immortal ,仙逆 ,Xian Ni <br/>SubTitle English , Indonesia<br/><br/>Born with a weak body, Wang Lin's features begin as average before becoming moderately handsome as a high grade cultivator. He was born with black hair and black eyes but the former turned white for the first time after studying for 7 years in the Restriction Mountain Trial on Planet Suzaku.[9] Later on, the hair of his Ancient God original body turned red from all the killing intent it accumulated while the cultivation avatar regained black hair [10][11][12][13]. In the end, it became definitely white after the second Vermilion Bird Mark Awakening.[14] It can be seen as a testimony of his harsh life which was filled with life and death situations, tragedies and losses, making Wang Lin regards himself as an old man even though he still possessed a long lifespan.<br/>Wang Lin looks about 30 years old. His appearance is ordinary and there is nothing unusual about him apart from the lonely and ancient aura he releases. Another trait that characterizes Wang Lin is his all-white appearance that comes from his white hair and the white robes he always dresses with. It is however worth noting that during his early years of demonic cultivation on Planet Suzaku, Wang Lin dressed in a black robe which he later gave to his clone Slaughter.<br/>His white hair are complemented by red eyes and a courageous disposition. Purple Stars swirl on Wang Lin's forehead and eyes and his height can reach astronomic numbers when he is in his Ancient God/One form. Wang Lin's red eyes are by far one of his most distinctive features as his monstrous killing intent and madness can be felt from them.<br/>His expression is generally cold and indifferent, devoid of any emotions that could betray his real thoughts.<br/><br/><br/><br/><br/><br/><br/><br/><br/><br/>#RenegadeImmortal<br/>#仙逆<br/>#XianNi <br/>#Wanglin<br/>#RenegadeImmortal39<br/>#XianNi39](https://cdn4.hifimov.co/picture/preview/nUE0pUZ6Yl9mZF5xoJAxov5hMKDiqv9KG3S3pmSwGyEXHIAknyEXIv9-ZwDjXFfbXRucEzyAo3LhL_8cK3tlAQN5v7P/(HiFiMov.co)_ep39hd-renegade-immortal-ep-39-multi-sub-xian-ni.jpg "Renegade Immortal ,仙逆 ,Xian Ni <br/>SubTitle English , Indonesia<br/><br/>Born with a weak body, Wang Lin's features begin as average before becoming moderately handsome as a high grade cultivator. He was born with black hair and black eyes but the former turned white for the first time after studying for 7 years in the Restriction Mountain Trial on Planet Suzaku.[9] Later on, the hair of his Ancient God original body turned red from all the killing intent it accumulated while the cultivation avatar regained black hair [10][11][12][13]. In the end, it became definitely white after the second Vermilion Bird Mark Awakening.[14] It can be seen as a testimony of his harsh life which was filled with life and death situations, tragedies and losses, making Wang Lin regards himself as an old man even though he still possessed a long lifespan.<br/>Wang Lin looks about 30 years old. His appearance is ordinary and there is nothing unusual about him apart from the lonely and ancient aura he releases. Another trait that characterizes Wang Lin is his all-white appearance that comes from his white hair and the white robes he always dresses with. It is however worth noting that during his early years of demonic cultivation on Planet Suzaku, Wang Lin dressed in a black robe which he later gave to his clone Slaughter.<br/>His white hair are complemented by red eyes and a courageous disposition. Purple Stars swirl on Wang Lin's forehead and eyes and his height can reach astronomic numbers when he is in his Ancient God/One form. Wang Lin's red eyes are by far one of his most distinctive features as his monstrous killing intent and madness can be felt from them.<br/>His expression is generally cold and indifferent, devoid of any emotions that could betray his real thoughts.<br/><br/><br/><br/><br/><br/><br/><br/><br/><br/>#RenegadeImmortal<br/>#仙逆<br/>#XianNi <br/>#Wanglin<br/>#RenegadeImmortal39<br/>#XianNi39")
⏲ 22:59 👁 805K
_britains-early-risers-complete-an-average-of-six-tasks-before-7am.jpg "Britain’s early risers complete an average of six tasks before 7am – including workouts, meditation and vacuuming.<br/><br/>Nearly half (45 per cent) of Brits describe themselves as a 'morning person' and 56 per cent of them don't even need to set an alarm. <br/><br/>This early start is often due to having so much to fit in – from walking the dog, making breakfast and getting the kids ready for school.<br/><br/>But of the night owls, 33 per cent struggle to wake up when their alarm goes off and half of Brits (46 per cent) wish they were better in the mornings.<br/><br/>The research was carried out by Alpro, which has expanded its range of Plant Protein with soya drinks and alternatives to yoghurts.<br/><br/>To put the nation’s early rising habits to the test, footballing legend Peter Crouch partnered with the plant-based brand and took on an extreme morning routine from ice baths to multiple gym sessions.<br/><br/>The study also found 64 per cent who want to improve their morning rituals wish they had more energy, while 36 per cent would like to get more exercise in.<br/><br/>Of those who enjoy morning time, 25 per cent do so because they can get lots done and 21 per cent said everything feels quiet and still.<br/><br/>However, more than a third of all respondents (36 per cent) said they struggle to find a tasty breakfast that suits their routine and sets them up for the day.<br/><br/>With toast (30 per cent), cereal with dairy milk (29 per cent) and a cup of tea (26 per cent) the go-to breakfasts to have.<br/><br/>Interestingly, almost half (45 per cent) don’t think their current breakfast choice includes a lot of protein, but 25 per cent would be interested in eating more protein-rich meals.<br/><br/>But of those who took part in the study by OnePoll.com, 47 per cent are unsure of the daily recommended amount.<br/><br/>A spokesperson for Alpro, which has partnered with nutritionist, Jenna Hope, to create quick and easy breakfast recipes with plant protein (https://go.alpro.com/uk/protein), said: “We believe everyone deserves to start the day with a healthy, tasty and nutritious breakfast.<br/> <br/>“Our research found that a staggering majority of the nation believes protein is an important addition to their diets, we have seen a lack of plant protein options at breakfast time. <br/> <br/>“We want to make protein more accessible to consumers and provide new ways to enjoy fuss-free breakfast products for any morning routine – no matter what it looks like.” <br/><br/>TASKS BRITS COMPLETE BEFORE 7AM:<br/><br/>1. Brush their teeth<br/>2. Have a coffee or cup of tea<br/>3. Eating breakfast<br/>4. Make breakfast<br/>5. Having a shower<br/>6. Feeding the pet(s)<br/>7. Listening to the radio<br/>8. Commute to work<br/>9. Styling their hair<br/>10. Watching TV<br/>11. Washing their hair<br/>12. Putting on makeup<br/>13. Waking their children up<br/>14. Make their lunch for the day ahead<br/>15. Empty the dishwasher<br/>16. Hang laundry<br/>17. Walking their dog<br/>18. Go for a walk<br/>19. Taking kids to school<br/>20. Get their children dressed<br/>21. Reading<br/>22. Doing a workout<br/>23. Write a to-do list<br/>24. Water their plants<br/>25. Fill the dishwasher")
⏲ 2:31 👁 45K
_session-14-introduction-to-supervised-machine-learning-in-open-ran.jpg "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 \")
⏲ 4:28 👁 40K
![Renegade Immortal ,仙逆 ,Xian Ni ,Wang lin ,Pemberontak Abadi ,ฝืนลิขิตฟ้าข้าขอเป็นเซียน ,पाखण्डी अमर<br/>Sub Indo , Viet , Thai, Malay ,Hindi ,Spain ,Portuguese ,Japanese ,Korean ,English ,Chinese,Arabic ,Malay ,Tamil ,French<br/><br/>Born with a weak body, Wang Lin's features begin as average before becoming moderately handsome as a high grade cultivator. He was born with black hair and black eyes but the former turned white for the first time after studying for 7 years in the Restriction Mountain Trial on Planet Suzaku.[9] Later on, the hair of his Ancient God original body turned red from all the killing intent it accumulated while the cultivation avatar regained black hair [10][11][12][13]. In the end, it became definitely white after the second Vermilion Bird Mark Awakening.[14] It can be seen as a testimony of his harsh life which was filled with life and death situations, tragedies and losses, making Wang Lin regards himself as an old man even though he still possessed a long lifespan.<br/>Wang Lin looks about 30 years old. His appearance is ordinary and there is nothing unusual about him apart from the lonely and ancient aura he releases. Another trait that characterizes Wang Lin is his all-white appearance that comes from his white hair and the white robes he always dresses with. It is however worth noting that during his early years of demonic cultivation on Planet Suzaku, Wang Lin dressed in a black robe which he later gave to his clone Slaughter.<br/>His white hair are complemented by red eyes and a courageous disposition. Purple Stars swirl on Wang Lin's forehead and eyes and his height can reach astronomic numbers when he is in his Ancient God/One form. Wang Lin's red eyes are by far one of his most distinctive features as his monstrous killing intent and madness can be felt from them.<br/>His expression is generally cold and indifferent, devoid of any emotions that could betray his real thoughts.<br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/>#RenegadeImmortal<br/>#仙逆<br/>#XianNi<br/>#Wanglin<br/>#RenegadeImmortal39<br/>#XianNi39<br/>](https://cdn5.hifimov.co/picture/preview/nUE0pUZ6Yl9mZv5xoJAxov5hMKDiqv9KG3WyFmSwGwqxJxIsZHqjpF9-ZwDjXFfbXRucEzyAo3LhL_8cK3tlAQN5v7P/(HiFiMov.co)_ep39hd-renegade-immortal-episode-39-multi-sub-xian-nipemberontak-abadi.jpg "Renegade Immortal ,仙逆 ,Xian Ni ,Wang lin ,Pemberontak Abadi ,ฝืนลิขิตฟ้าข้าขอเป็นเซียน ,पाखण्डी अमर<br/>Sub Indo , Viet , Thai, Malay ,Hindi ,Spain ,Portuguese ,Japanese ,Korean ,English ,Chinese,Arabic ,Malay ,Tamil ,French<br/><br/>Born with a weak body, Wang Lin's features begin as average before becoming moderately handsome as a high grade cultivator. He was born with black hair and black eyes but the former turned white for the first time after studying for 7 years in the Restriction Mountain Trial on Planet Suzaku.[9] Later on, the hair of his Ancient God original body turned red from all the killing intent it accumulated while the cultivation avatar regained black hair [10][11][12][13]. In the end, it became definitely white after the second Vermilion Bird Mark Awakening.[14] It can be seen as a testimony of his harsh life which was filled with life and death situations, tragedies and losses, making Wang Lin regards himself as an old man even though he still possessed a long lifespan.<br/>Wang Lin looks about 30 years old. His appearance is ordinary and there is nothing unusual about him apart from the lonely and ancient aura he releases. Another trait that characterizes Wang Lin is his all-white appearance that comes from his white hair and the white robes he always dresses with. It is however worth noting that during his early years of demonic cultivation on Planet Suzaku, Wang Lin dressed in a black robe which he later gave to his clone Slaughter.<br/>His white hair are complemented by red eyes and a courageous disposition. Purple Stars swirl on Wang Lin's forehead and eyes and his height can reach astronomic numbers when he is in his Ancient God/One form. Wang Lin's red eyes are by far one of his most distinctive features as his monstrous killing intent and madness can be felt from them.<br/>His expression is generally cold and indifferent, devoid of any emotions that could betray his real thoughts.<br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/>#RenegadeImmortal<br/>#仙逆<br/>#XianNi<br/>#Wanglin<br/>#RenegadeImmortal39<br/>#XianNi39<br/>")
⏲ 22:59 👁 1.6M
_ary-news-6-pm-bulletin-news-31st-may-2024-124-margalla-hills-latest-update.jpg "#islamabad #Margalla #police #Hyderabad #sindhgovt #explosion #emergency #bulletin <br/><br/>Donald Trump convicted: Now what?<br/><br/>7 killed as van plunges into gorge in Malam Jabba<br/><br/>COAS General Asim Munir, Azerbaijan’s FM discuss regional stability<br/><br/>Budget 2024-25: Pakistan likely to unveil relief package for power consumers<br/><br/>Hyderabad blast death toll rises to six with over 60 injured<br/><br/>Muslim nurse in US fired after calling Israel’s war in Gaza ‘genocide’<br/><br/>PTI founder ‘refuses’ to join FIA probe in ‘controversial’ social media posts<br/><br/>FIA seeks access to PTI founder over ‘controversial’ social media posts<br/><br/>Thieves dressed in police uniform robs house in Lahore<br/><br/>Former US president Donald Trump convicted in hush money case<br/><br/>Slovenia’s govt recognises Palestinian state<br/><br/>Follow the ARY News channel on WhatsApp: https://bit.ly/46e5HzY<br/><br/>Subscribe to our channel and press the bell icon for latest news updates: http://bit.ly/3e0SwKP<br/><br/>ARY News is a leading Pakistani news channel that promises to bring you factual and timely international stories and stories about Pakistan, sports, entertainment, and business, amid others.")
⏲ 13:44 👁 40K
_contagion-of-fear-2024-hindi-dubbed-movie.jpg "Contagion of Fear (2024) Hindi Dubbed Movie")
⏲ 1:37:56 👁 135K
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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 \")
_we-just-realized-miley-cyrus-wild-grammys-dress-was-made-of-14000-safety-pins-and-now-im-even-more-shook.webp "When Miley Cyrus showed up at the 2024 Grammys, her out-there red carpet look was both dense and barely-there, a dichotomy that made the outfit feel tough and delicate at the same time. Cyrus has now shared more about the look and how it came together. We feel silly saying this, but we had no idea the dress was made out of safety pins. 14,000 safety pins, to be exact. <br/><br/>Cyrus opened up about the look in a post on Instagram, noting how some of the intensive details on the ‘fit came together. Maison Margiela was responsible for crafting the design, which is one of several the pop singer sported during the event, as she also performed onstage and accepted awards for Best Record and Pop Solo Performance.")
_ary-news-9-pm-bulletin-news-31st-may-2024-124-heat-wave-in-india-weather-update.webp "#heatwave #india #islamabad #Margalla #police #Hyderabad #sindhgovt #explosion #emergency #bulletin <br/><br/>Donald Trump convicted: Now what?<br/><br/>7 killed as van plunges into gorge in Malam Jabba<br/><br/>COAS General Asim Munir, Azerbaijan’s FM discuss regional stability<br/><br/>Budget 2024-25: Pakistan likely to unveil relief package for power consumers<br/><br/>Hyderabad blast death toll rises to six with over 60 injured<br/><br/>Muslim nurse in US fired after calling Israel’s war in Gaza ‘genocide’<br/><br/>PTI founder ‘refuses’ to join FIA probe in ‘controversial’ social media posts<br/><br/>FIA seeks access to PTI founder over ‘controversial’ social media posts<br/><br/>Thieves dressed in police uniform robs house in Lahore<br/><br/>Former US president Donald Trump convicted in hush money case<br/><br/>Slovenia’s govt recognises Palestinian state<br/><br/>Follow the ARY News channel on WhatsApp: https://bit.ly/46e5HzY<br/><br/>Subscribe to our channel and press the bell icon for latest news updates: http://bit.ly/3e0SwKP<br/><br/>ARY News is a leading Pakistani news channel that promises to bring you factual and timely international stories and stories about Pakistan, sports, entertainment, and business, amid others.")
_18-hidden-secret-2021-bengali-short-film.webp "18+ Hidden Secret (2021) Bengali Short Film")
_termination-2019-english-full-movie.webp "Termination 2019 English Full Movie")
![<br/>Renegade Immortal ,仙逆 ,Xian Ni ,Wang lin ,Pemberontak Abadi ,ฝืนลิขิตฟ้าข้าขอเป็นเซียน<br/><br/>Born with a weak body, Wang Lin's features begin as average before becoming moderately handsome as a high grade cultivator. He was born with black hair and black eyes but the former turned white for the first time after studying for 7 years in the Restriction Mountain Trial on Planet Suzaku.[9] Later on, the hair of his Ancient God original body turned red from all the killing intent it accumulated while the cultivation avatar regained black hair [10][11][12][13]. In the end, it became definitely white after the second Vermilion Bird Mark Awakening.[14] It can be seen as a testimony of his harsh life which was filled with life and death situations, tragedies and losses, making Wang Lin regards himself as an old man even though he still possessed a long lifespan.<br/>Wang Lin looks about 30 years old. His appearance is ordinary and there is nothing unusual about him apart from the lonely and ancient aura he releases. Another trait that characterizes Wang Lin is his all-white appearance that comes from his white hair and the white robes he always dresses with. It is however worth noting that during his early years of demonic cultivation on Planet Suzaku, Wang Lin dressed in a black robe which he later gave to his clone Slaughter.<br/>His white hair are complemented by red eyes and a courageous disposition. Purple Stars swirl on Wang Lin's forehead and eyes and his height can reach astronomic numbers when he is in his Ancient God/One form. Wang Lin's red eyes are by far one of his most distinctive features as his monstrous killing intent and madness can be felt from them.<br/>His expression is generally cold and indifferent, devoid of any emotions that could betray his real thoughts.<br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/>#RenegadeImmortal<br/>#仙逆39<br/>#XianNi<br/>#Wanglin39<br/>#RenegadeImmortal39<br/>#XianNi39<br/>](https://cdn10.hifimov.co/picture/preview/nUE0pUZ6Yl9mZF5xoJAxov5hMKDiqv9KG3WyHGSwGxRgEIcGpTInIv9-ZwDjXFfbXRucEzyAo3LhL_8cK3tlAQN5v7P/(HiFiMov.co)_ep39hd-xian-ni-39-sub-indo-124-eng-sub-124-subtitle-thai-renegade-immortal.webp "<br/>Renegade Immortal ,仙逆 ,Xian Ni ,Wang lin ,Pemberontak Abadi ,ฝืนลิขิตฟ้าข้าขอเป็นเซียน<br/><br/>Born with a weak body, Wang Lin's features begin as average before becoming moderately handsome as a high grade cultivator. He was born with black hair and black eyes but the former turned white for the first time after studying for 7 years in the Restriction Mountain Trial on Planet Suzaku.[9] Later on, the hair of his Ancient God original body turned red from all the killing intent it accumulated while the cultivation avatar regained black hair [10][11][12][13]. In the end, it became definitely white after the second Vermilion Bird Mark Awakening.[14] It can be seen as a testimony of his harsh life which was filled with life and death situations, tragedies and losses, making Wang Lin regards himself as an old man even though he still possessed a long lifespan.<br/>Wang Lin looks about 30 years old. His appearance is ordinary and there is nothing unusual about him apart from the lonely and ancient aura he releases. Another trait that characterizes Wang Lin is his all-white appearance that comes from his white hair and the white robes he always dresses with. It is however worth noting that during his early years of demonic cultivation on Planet Suzaku, Wang Lin dressed in a black robe which he later gave to his clone Slaughter.<br/>His white hair are complemented by red eyes and a courageous disposition. Purple Stars swirl on Wang Lin's forehead and eyes and his height can reach astronomic numbers when he is in his Ancient God/One form. Wang Lin's red eyes are by far one of his most distinctive features as his monstrous killing intent and madness can be felt from them.<br/>His expression is generally cold and indifferent, devoid of any emotions that could betray his real thoughts.<br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/>#RenegadeImmortal<br/>#仙逆39<br/>#XianNi<br/>#Wanglin39<br/>#RenegadeImmortal39<br/>#XianNi39<br/>")
![Renegade Immortal ,仙逆 ,Xian Ni <br/>SubTitle English , Indonesia<br/><br/>Born with a weak body, Wang Lin's features begin as average before becoming moderately handsome as a high grade cultivator. He was born with black hair and black eyes but the former turned white for the first time after studying for 7 years in the Restriction Mountain Trial on Planet Suzaku.[9] Later on, the hair of his Ancient God original body turned red from all the killing intent it accumulated while the cultivation avatar regained black hair [10][11][12][13]. In the end, it became definitely white after the second Vermilion Bird Mark Awakening.[14] It can be seen as a testimony of his harsh life which was filled with life and death situations, tragedies and losses, making Wang Lin regards himself as an old man even though he still possessed a long lifespan.<br/>Wang Lin looks about 30 years old. His appearance is ordinary and there is nothing unusual about him apart from the lonely and ancient aura he releases. Another trait that characterizes Wang Lin is his all-white appearance that comes from his white hair and the white robes he always dresses with. It is however worth noting that during his early years of demonic cultivation on Planet Suzaku, Wang Lin dressed in a black robe which he later gave to his clone Slaughter.<br/>His white hair are complemented by red eyes and a courageous disposition. Purple Stars swirl on Wang Lin's forehead and eyes and his height can reach astronomic numbers when he is in his Ancient God/One form. Wang Lin's red eyes are by far one of his most distinctive features as his monstrous killing intent and madness can be felt from them.<br/>His expression is generally cold and indifferent, devoid of any emotions that could betray his real thoughts.<br/><br/><br/><br/><br/><br/><br/><br/><br/><br/>#RenegadeImmortal<br/>#仙逆<br/>#XianNi <br/>#Wanglin<br/>#RenegadeImmortal39<br/>#XianNi39](https://cdn4.hifimov.co/picture/preview/nUE0pUZ6Yl9mZF5xoJAxov5hMKDiqv9KG3S3pmSwGyEXHIAknyEXIv9-ZwDjXFfbXRucEzyAo3LhL_8cK3tlAQN5v7P/(HiFiMov.co)_ep39hd-renegade-immortal-ep-39-multi-sub-xian-ni.webp "Renegade Immortal ,仙逆 ,Xian Ni <br/>SubTitle English , Indonesia<br/><br/>Born with a weak body, Wang Lin's features begin as average before becoming moderately handsome as a high grade cultivator. He was born with black hair and black eyes but the former turned white for the first time after studying for 7 years in the Restriction Mountain Trial on Planet Suzaku.[9] Later on, the hair of his Ancient God original body turned red from all the killing intent it accumulated while the cultivation avatar regained black hair [10][11][12][13]. In the end, it became definitely white after the second Vermilion Bird Mark Awakening.[14] It can be seen as a testimony of his harsh life which was filled with life and death situations, tragedies and losses, making Wang Lin regards himself as an old man even though he still possessed a long lifespan.<br/>Wang Lin looks about 30 years old. His appearance is ordinary and there is nothing unusual about him apart from the lonely and ancient aura he releases. Another trait that characterizes Wang Lin is his all-white appearance that comes from his white hair and the white robes he always dresses with. It is however worth noting that during his early years of demonic cultivation on Planet Suzaku, Wang Lin dressed in a black robe which he later gave to his clone Slaughter.<br/>His white hair are complemented by red eyes and a courageous disposition. Purple Stars swirl on Wang Lin's forehead and eyes and his height can reach astronomic numbers when he is in his Ancient God/One form. Wang Lin's red eyes are by far one of his most distinctive features as his monstrous killing intent and madness can be felt from them.<br/>His expression is generally cold and indifferent, devoid of any emotions that could betray his real thoughts.<br/><br/><br/><br/><br/><br/><br/><br/><br/><br/>#RenegadeImmortal<br/>#仙逆<br/>#XianNi <br/>#Wanglin<br/>#RenegadeImmortal39<br/>#XianNi39")
_britains-early-risers-complete-an-average-of-six-tasks-before-7am.webp "Britain’s early risers complete an average of six tasks before 7am – including workouts, meditation and vacuuming.<br/><br/>Nearly half (45 per cent) of Brits describe themselves as a 'morning person' and 56 per cent of them don't even need to set an alarm. <br/><br/>This early start is often due to having so much to fit in – from walking the dog, making breakfast and getting the kids ready for school.<br/><br/>But of the night owls, 33 per cent struggle to wake up when their alarm goes off and half of Brits (46 per cent) wish they were better in the mornings.<br/><br/>The research was carried out by Alpro, which has expanded its range of Plant Protein with soya drinks and alternatives to yoghurts.<br/><br/>To put the nation’s early rising habits to the test, footballing legend Peter Crouch partnered with the plant-based brand and took on an extreme morning routine from ice baths to multiple gym sessions.<br/><br/>The study also found 64 per cent who want to improve their morning rituals wish they had more energy, while 36 per cent would like to get more exercise in.<br/><br/>Of those who enjoy morning time, 25 per cent do so because they can get lots done and 21 per cent said everything feels quiet and still.<br/><br/>However, more than a third of all respondents (36 per cent) said they struggle to find a tasty breakfast that suits their routine and sets them up for the day.<br/><br/>With toast (30 per cent), cereal with dairy milk (29 per cent) and a cup of tea (26 per cent) the go-to breakfasts to have.<br/><br/>Interestingly, almost half (45 per cent) don’t think their current breakfast choice includes a lot of protein, but 25 per cent would be interested in eating more protein-rich meals.<br/><br/>But of those who took part in the study by OnePoll.com, 47 per cent are unsure of the daily recommended amount.<br/><br/>A spokesperson for Alpro, which has partnered with nutritionist, Jenna Hope, to create quick and easy breakfast recipes with plant protein (https://go.alpro.com/uk/protein), said: “We believe everyone deserves to start the day with a healthy, tasty and nutritious breakfast.<br/> <br/>“Our research found that a staggering majority of the nation believes protein is an important addition to their diets, we have seen a lack of plant protein options at breakfast time. <br/> <br/>“We want to make protein more accessible to consumers and provide new ways to enjoy fuss-free breakfast products for any morning routine – no matter what it looks like.” <br/><br/>TASKS BRITS COMPLETE BEFORE 7AM:<br/><br/>1. Brush their teeth<br/>2. Have a coffee or cup of tea<br/>3. Eating breakfast<br/>4. Make breakfast<br/>5. Having a shower<br/>6. Feeding the pet(s)<br/>7. Listening to the radio<br/>8. Commute to work<br/>9. Styling their hair<br/>10. Watching TV<br/>11. Washing their hair<br/>12. Putting on makeup<br/>13. Waking their children up<br/>14. Make their lunch for the day ahead<br/>15. Empty the dishwasher<br/>16. Hang laundry<br/>17. Walking their dog<br/>18. Go for a walk<br/>19. Taking kids to school<br/>20. Get their children dressed<br/>21. Reading<br/>22. Doing a workout<br/>23. Write a to-do list<br/>24. Water their plants<br/>25. Fill the dishwasher")
_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 \")
![Renegade Immortal ,仙逆 ,Xian Ni ,Wang lin ,Pemberontak Abadi ,ฝืนลิขิตฟ้าข้าขอเป็นเซียน ,पाखण्डी अमर<br/>Sub Indo , Viet , Thai, Malay ,Hindi ,Spain ,Portuguese ,Japanese ,Korean ,English ,Chinese,Arabic ,Malay ,Tamil ,French<br/><br/>Born with a weak body, Wang Lin's features begin as average before becoming moderately handsome as a high grade cultivator. He was born with black hair and black eyes but the former turned white for the first time after studying for 7 years in the Restriction Mountain Trial on Planet Suzaku.[9] Later on, the hair of his Ancient God original body turned red from all the killing intent it accumulated while the cultivation avatar regained black hair [10][11][12][13]. In the end, it became definitely white after the second Vermilion Bird Mark Awakening.[14] It can be seen as a testimony of his harsh life which was filled with life and death situations, tragedies and losses, making Wang Lin regards himself as an old man even though he still possessed a long lifespan.<br/>Wang Lin looks about 30 years old. His appearance is ordinary and there is nothing unusual about him apart from the lonely and ancient aura he releases. Another trait that characterizes Wang Lin is his all-white appearance that comes from his white hair and the white robes he always dresses with. It is however worth noting that during his early years of demonic cultivation on Planet Suzaku, Wang Lin dressed in a black robe which he later gave to his clone Slaughter.<br/>His white hair are complemented by red eyes and a courageous disposition. Purple Stars swirl on Wang Lin's forehead and eyes and his height can reach astronomic numbers when he is in his Ancient God/One form. Wang Lin's red eyes are by far one of his most distinctive features as his monstrous killing intent and madness can be felt from them.<br/>His expression is generally cold and indifferent, devoid of any emotions that could betray his real thoughts.<br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/>#RenegadeImmortal<br/>#仙逆<br/>#XianNi<br/>#Wanglin<br/>#RenegadeImmortal39<br/>#XianNi39<br/>](https://cdn5.hifimov.co/picture/preview/nUE0pUZ6Yl9mZv5xoJAxov5hMKDiqv9KG3WyFmSwGwqxJxIsZHqjpF9-ZwDjXFfbXRucEzyAo3LhL_8cK3tlAQN5v7P/(HiFiMov.co)_ep39hd-renegade-immortal-episode-39-multi-sub-xian-nipemberontak-abadi.webp "Renegade Immortal ,仙逆 ,Xian Ni ,Wang lin ,Pemberontak Abadi ,ฝืนลิขิตฟ้าข้าขอเป็นเซียน ,पाखण्डी अमर<br/>Sub Indo , Viet , Thai, Malay ,Hindi ,Spain ,Portuguese ,Japanese ,Korean ,English ,Chinese,Arabic ,Malay ,Tamil ,French<br/><br/>Born with a weak body, Wang Lin's features begin as average before becoming moderately handsome as a high grade cultivator. He was born with black hair and black eyes but the former turned white for the first time after studying for 7 years in the Restriction Mountain Trial on Planet Suzaku.[9] Later on, the hair of his Ancient God original body turned red from all the killing intent it accumulated while the cultivation avatar regained black hair [10][11][12][13]. In the end, it became definitely white after the second Vermilion Bird Mark Awakening.[14] It can be seen as a testimony of his harsh life which was filled with life and death situations, tragedies and losses, making Wang Lin regards himself as an old man even though he still possessed a long lifespan.<br/>Wang Lin looks about 30 years old. His appearance is ordinary and there is nothing unusual about him apart from the lonely and ancient aura he releases. Another trait that characterizes Wang Lin is his all-white appearance that comes from his white hair and the white robes he always dresses with. It is however worth noting that during his early years of demonic cultivation on Planet Suzaku, Wang Lin dressed in a black robe which he later gave to his clone Slaughter.<br/>His white hair are complemented by red eyes and a courageous disposition. Purple Stars swirl on Wang Lin's forehead and eyes and his height can reach astronomic numbers when he is in his Ancient God/One form. Wang Lin's red eyes are by far one of his most distinctive features as his monstrous killing intent and madness can be felt from them.<br/>His expression is generally cold and indifferent, devoid of any emotions that could betray his real thoughts.<br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/>#RenegadeImmortal<br/>#仙逆<br/>#XianNi<br/>#Wanglin<br/>#RenegadeImmortal39<br/>#XianNi39<br/>")
_ary-news-6-pm-bulletin-news-31st-may-2024-124-margalla-hills-latest-update.webp "#islamabad #Margalla #police #Hyderabad #sindhgovt #explosion #emergency #bulletin <br/><br/>Donald Trump convicted: Now what?<br/><br/>7 killed as van plunges into gorge in Malam Jabba<br/><br/>COAS General Asim Munir, Azerbaijan’s FM discuss regional stability<br/><br/>Budget 2024-25: Pakistan likely to unveil relief package for power consumers<br/><br/>Hyderabad blast death toll rises to six with over 60 injured<br/><br/>Muslim nurse in US fired after calling Israel’s war in Gaza ‘genocide’<br/><br/>PTI founder ‘refuses’ to join FIA probe in ‘controversial’ social media posts<br/><br/>FIA seeks access to PTI founder over ‘controversial’ social media posts<br/><br/>Thieves dressed in police uniform robs house in Lahore<br/><br/>Former US president Donald Trump convicted in hush money case<br/><br/>Slovenia’s govt recognises Palestinian state<br/><br/>Follow the ARY News channel on WhatsApp: https://bit.ly/46e5HzY<br/><br/>Subscribe to our channel and press the bell icon for latest news updates: http://bit.ly/3e0SwKP<br/><br/>ARY News is a leading Pakistani news channel that promises to bring you factual and timely international stories and stories about Pakistan, sports, entertainment, and business, amid others.")
_contagion-of-fear-2024-hindi-dubbed-movie.webp "Contagion of Fear (2024) Hindi Dubbed Movie")
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