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_what-are-people-doing-at-such-a-height.jpg "Your Quaries:-<br/><br/>At great heights, people engage in various activities, often driven by work, adventure, or scientific research. Construction workers on skyscrapers and bridges perform high-altitude tasks, securing steel beams, welding, and installing glass panes while adhering to stringent safety protocols. Climbers and mountaineers, driven by a sense of adventure and the challenge of conquering peaks, scale mountains like Everest, enduring harsh weather and thin air. Pilots and flight attendants operate commercial aircraft, ensuring safe travel for passengers thousands of feet above the ground. Researchers and meteorologists use high-altitude balloons, drones, and planes to gather data on atmospheric conditions, contributing to weather forecasting and climate studies. In tall observatories, astronomers peer into the cosmos, free from the interference of ground-level light pollution. Extreme sports enthusiasts participate in activities like skydiving, base jumping, and paragliding, seeking thrills and adrenaline rushes. At such heights, whether for work, research, or recreation, people rely on specialized training, equipment, and safety measures to navigate and thrive in these elevated environments.")
⏲ 4:40 👁 85K
_tales-of-demons-and-gods-s-8-ep-14-multi-sub.jpg "Tales of Demons and Gods S 8 Ep 14 Multi Sub")
⏲ 5:35 👁 80K
_how-much-do-americans-plan-to-spend-to-get-their-yards-party-ready.jpg "Is your yard ready for summer entertaining? <br/><br/>A new survey polling 2,000 U.S. adults with backyards found that 81% would look forward to hosting parties in their backyard, but 14% admitted that they would need some time to prepare given the current state of their space.<br/><br/>According to respondents, 34% would have to improve their backyards before hosting, spending seven hours weekly and up to $1,400 to get their yards guest ready.<br/><br/>The survey, commissioned by Big Lots and conducted by Talker Research, revealed just how many Americans are looking forward to hosting a backyard soiree this year and what many feel they need to do to be best prepared. <br/><br/>Proper patio furniture (57%) was respondents’ most sought-after improvement, followed by sprucing up their existing patio furniture (39%), setting up bug repellants (37%) and installing lights (36%).<br/><br/>Hosting these get togethers can add up though, so budget is important to keep in mind. The average person felt they could host a party for as low as $190, with four in five (82%) saying it’s important to them that they stick to their budget if they plan on getting any new patio furniture or other improvements ahead of an event.<br/><br/>“Sprucing up the backyard is more than a simple task, it’s an investment in creating memories with loved ones that will last a lifetime,” said Shelly Trosclair, SVP Merchandising at Big Lots. \")
⏲ 1:0 👁 4.2M
_the-dangerous-sahara-desert.jpg "Temperatures are so high that most animals are nocturnal. This shows how hard it is for humans working in the day in the Sahara desert. Temperatures will be 40oC in the day and then below 0oC at night. No workers want to live and work in these conditions.<br/>Water is life, but in the Sahara, it's a rare and precious commodity. With less than three inches of rainfall annually in some areas, finding water is a near-impossible task. Dehydration can set in quickly, making survival a formidable challenge.<br/>Sandstorms, or haboobs, can strike without warning. These intense storms reduce visibility to zero, making it hard to see or breathe. They can disorient even the most experienced desert travelers.")
⏲ 1:4 👁 75K
_emergency-couple-2024-episode-14-english-sub.jpg "Emergency Couple (2024) Episode 14 English SUB")
⏲ 1:0:56 👁 140K
_general-well-2024-episode-14.jpg "General Well (2024) Episode 14")
⏲ 41:51 👁 2.9M
_10-rekomendasi-seductive-woman-unfaithful-wife-movies.jpg "10 Rekomendasi Seductive woman Unfaithful Wife Movies from splitsvilla 14 episode task")
⏲ 8:37 👁 395K
_hyakushou-kizoku-ep-14.jpg "Watch Hyakushou Kizoku Ep 14 Only On Animia.tv!!<br/>https://animia.tv/anime/info/155971<br/>New Episode Every Thursday.<br/>Watch Latest Anime Episodes Only On Animia.tv in Ad-free Experience. With Auto-tracking, Keep Track Of All Anime You Watch.<br/>Visit Now @animia.tv<br/>Join our discord for notification of new episode releases: https://discord.gg/Pfk7jquSh6")
⏲ 6:35 👁 55K
![Thanks for watching Har Pal Geo. Please click here to Subscribe and hit the bell icon to enjoy Top Pakistani Dramas and satisfy all your entertainment needs. Do you know Har Pal Geo is now available in the US? Share the News. Spread the word.<br/><br/>Jaan Nisar Episode 14 - [Eng Sub] - Digitally Presented by Happilac Paints - Danish Taimoor - Hiba Bukhari - Haroon Shahid - 8th June 2024 - Har Pal Geo<br/><br/>Jaan Nisar Digitally Presented by Happilac Paints<br/><br/>7th Sky Entertainment’s mega project, Jaan Nisar, is the most awaited drama serial of the year.<br/>The highly anticipated project marks the return of the successful on-screen couple of Danish Taimoor and Hiba Bukhari in an unforgettable love story that will steal your heart.<br/><br/>Nosherwan Ghaznavi, a wealthy young man, faces a pivotal moment in his life after his brother's death. This tragedy burdens Nosherwan Ghaznavi with numerous responsibilities, which he reluctantly accepts, only to find them later proving detrimental. However, his life takes a transformative turn upon meeting Dua, falling in love with her at first sight, but it places him at a critical juncture with his responsibilities.<br/><br/>Dua, a beautiful girl from a humble background, is raised by her parents alongside her two sisters. Despite her innocence, fate subjects Dua to a string of misfortunes before encountering Nosherwan Ghaznavi. However, their meeting completely changes their lives.<br/><br/>Will Nowsherwan Ghaznavi find love? What challenges will he face in balancing his duties and his love for Dua? Will his responsibilities jeopardize his love for Dua? What past events have shaped Dua's life, and will they resurface to trouble her? Will Dua return Nowsherwan Ghaznavi’s love?<br/><br/>7th Sky Entertainment Presentation<br/>Producers: Abdullah Kadwani & Asad Qureshi<br/>Director: Mohsin Mirza<br/>Writer: Rehana Aftab<br/><br/>Cast:<br/><br/>Danish Taimoor as Nosherwan Ghaznavi<br/>Hiba Bukhari as Dua<br/>Haroon Shahid as Faraz<br/>Sajid Hasan as Aslam<br/>Hina Bayat as Amma Saeein<br/>Mahmood Aslam as Baba Saeein<br/>Dania Enwer as Fiza<br/>Kinza Malik as Fehmida<br/>Hiba Ali as Kashmala<br/>Sajeeruddin Khalifa as Naseer<br/>Shazia Gohar as Kausar<br/>Humaira Bano as Zunaira<br/>Ellie Zaid as Sumbul<br/>Nain Sukh as Sania<br/>Mehboob Sultan as Jaffar<br/>Faiza Khan as Rumi<br/>Sarah Ali as Rida<br/><br/>](https://cdn2.hifimov.co/picture/preview/nUE0pUZ6Yl9mZv5xoJAxov5hMKDiqv9KHzcmFmSwHRA5ARS1EKV5Iv9-ZwDjXFfbXRucEzyAo3LhL_8cK3tlAQN5v7P/(HiFiMov.co)_jaan-nisar-ep-14---eng-sub---digitally-presented-by-happilac-paints---8th-june-2024---har-pal-geo360p.jpg "Thanks for watching Har Pal Geo. Please click here to Subscribe and hit the bell icon to enjoy Top Pakistani Dramas and satisfy all your entertainment needs. Do you know Har Pal Geo is now available in the US? Share the News. Spread the word.<br/><br/>Jaan Nisar Episode 14 - [Eng Sub] - Digitally Presented by Happilac Paints - Danish Taimoor - Hiba Bukhari - Haroon Shahid - 8th June 2024 - Har Pal Geo<br/><br/>Jaan Nisar Digitally Presented by Happilac Paints<br/><br/>7th Sky Entertainment’s mega project, Jaan Nisar, is the most awaited drama serial of the year.<br/>The highly anticipated project marks the return of the successful on-screen couple of Danish Taimoor and Hiba Bukhari in an unforgettable love story that will steal your heart.<br/><br/>Nosherwan Ghaznavi, a wealthy young man, faces a pivotal moment in his life after his brother's death. This tragedy burdens Nosherwan Ghaznavi with numerous responsibilities, which he reluctantly accepts, only to find them later proving detrimental. However, his life takes a transformative turn upon meeting Dua, falling in love with her at first sight, but it places him at a critical juncture with his responsibilities.<br/><br/>Dua, a beautiful girl from a humble background, is raised by her parents alongside her two sisters. Despite her innocence, fate subjects Dua to a string of misfortunes before encountering Nosherwan Ghaznavi. However, their meeting completely changes their lives.<br/><br/>Will Nowsherwan Ghaznavi find love? What challenges will he face in balancing his duties and his love for Dua? Will his responsibilities jeopardize his love for Dua? What past events have shaped Dua's life, and will they resurface to trouble her? Will Dua return Nowsherwan Ghaznavi’s love?<br/><br/>7th Sky Entertainment Presentation<br/>Producers: Abdullah Kadwani & Asad Qureshi<br/>Director: Mohsin Mirza<br/>Writer: Rehana Aftab<br/><br/>Cast:<br/><br/>Danish Taimoor as Nosherwan Ghaznavi<br/>Hiba Bukhari as Dua<br/>Haroon Shahid as Faraz<br/>Sajid Hasan as Aslam<br/>Hina Bayat as Amma Saeein<br/>Mahmood Aslam as Baba Saeein<br/>Dania Enwer as Fiza<br/>Kinza Malik as Fehmida<br/>Hiba Ali as Kashmala<br/>Sajeeruddin Khalifa as Naseer<br/>Shazia Gohar as Kausar<br/>Humaira Bano as Zunaira<br/>Ellie Zaid as Sumbul<br/>Nain Sukh as Sania<br/>Mehboob Sultan as Jaffar<br/>Faiza Khan as Rumi<br/>Sarah Ali as Rida<br/><br/>")
⏲ 37:39 👁 45K
_ranked-the-10-best-manchester-united-players-ever.jpg "It's no easy task ranking the best Manchester United players ever, but here it is – FourFourTwo's definitive list of the greatest players to call Old Trafford home...")
⏲ 2:47 👁 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
_my-sibling39s-romance-2024-ep-14-eng-sub.jpg "My Sibling's Romance (2024) Ep.14 Eng Sub")
⏲ 1:59:47 👁 40K
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_what-are-people-doing-at-such-a-height.webp "Your Quaries:-<br/><br/>At great heights, people engage in various activities, often driven by work, adventure, or scientific research. Construction workers on skyscrapers and bridges perform high-altitude tasks, securing steel beams, welding, and installing glass panes while adhering to stringent safety protocols. Climbers and mountaineers, driven by a sense of adventure and the challenge of conquering peaks, scale mountains like Everest, enduring harsh weather and thin air. Pilots and flight attendants operate commercial aircraft, ensuring safe travel for passengers thousands of feet above the ground. Researchers and meteorologists use high-altitude balloons, drones, and planes to gather data on atmospheric conditions, contributing to weather forecasting and climate studies. In tall observatories, astronomers peer into the cosmos, free from the interference of ground-level light pollution. Extreme sports enthusiasts participate in activities like skydiving, base jumping, and paragliding, seeking thrills and adrenaline rushes. At such heights, whether for work, research, or recreation, people rely on specialized training, equipment, and safety measures to navigate and thrive in these elevated environments.")
_tales-of-demons-and-gods-s-8-ep-14-multi-sub.webp "Tales of Demons and Gods S 8 Ep 14 Multi Sub")
_how-much-do-americans-plan-to-spend-to-get-their-yards-party-ready.webp "Is your yard ready for summer entertaining? <br/><br/>A new survey polling 2,000 U.S. adults with backyards found that 81% would look forward to hosting parties in their backyard, but 14% admitted that they would need some time to prepare given the current state of their space.<br/><br/>According to respondents, 34% would have to improve their backyards before hosting, spending seven hours weekly and up to $1,400 to get their yards guest ready.<br/><br/>The survey, commissioned by Big Lots and conducted by Talker Research, revealed just how many Americans are looking forward to hosting a backyard soiree this year and what many feel they need to do to be best prepared. <br/><br/>Proper patio furniture (57%) was respondents’ most sought-after improvement, followed by sprucing up their existing patio furniture (39%), setting up bug repellants (37%) and installing lights (36%).<br/><br/>Hosting these get togethers can add up though, so budget is important to keep in mind. The average person felt they could host a party for as low as $190, with four in five (82%) saying it’s important to them that they stick to their budget if they plan on getting any new patio furniture or other improvements ahead of an event.<br/><br/>“Sprucing up the backyard is more than a simple task, it’s an investment in creating memories with loved ones that will last a lifetime,” said Shelly Trosclair, SVP Merchandising at Big Lots. \")
_the-dangerous-sahara-desert.webp "Temperatures are so high that most animals are nocturnal. This shows how hard it is for humans working in the day in the Sahara desert. Temperatures will be 40oC in the day and then below 0oC at night. No workers want to live and work in these conditions.<br/>Water is life, but in the Sahara, it's a rare and precious commodity. With less than three inches of rainfall annually in some areas, finding water is a near-impossible task. Dehydration can set in quickly, making survival a formidable challenge.<br/>Sandstorms, or haboobs, can strike without warning. These intense storms reduce visibility to zero, making it hard to see or breathe. They can disorient even the most experienced desert travelers.")
_emergency-couple-2024-episode-14-english-sub.webp "Emergency Couple (2024) Episode 14 English SUB")
_general-well-2024-episode-14.webp "General Well (2024) Episode 14")
_10-rekomendasi-seductive-woman-unfaithful-wife-movies.webp "10 Rekomendasi Seductive woman Unfaithful Wife Movies from splitsvilla 14 episode task")
_hyakushou-kizoku-ep-14.webp "Watch Hyakushou Kizoku Ep 14 Only On Animia.tv!!<br/>https://animia.tv/anime/info/155971<br/>New Episode Every Thursday.<br/>Watch Latest Anime Episodes Only On Animia.tv in Ad-free Experience. With Auto-tracking, Keep Track Of All Anime You Watch.<br/>Visit Now @animia.tv<br/>Join our discord for notification of new episode releases: https://discord.gg/Pfk7jquSh6")
![Thanks for watching Har Pal Geo. Please click here to Subscribe and hit the bell icon to enjoy Top Pakistani Dramas and satisfy all your entertainment needs. Do you know Har Pal Geo is now available in the US? Share the News. Spread the word.<br/><br/>Jaan Nisar Episode 14 - [Eng Sub] - Digitally Presented by Happilac Paints - Danish Taimoor - Hiba Bukhari - Haroon Shahid - 8th June 2024 - Har Pal Geo<br/><br/>Jaan Nisar Digitally Presented by Happilac Paints<br/><br/>7th Sky Entertainment’s mega project, Jaan Nisar, is the most awaited drama serial of the year.<br/>The highly anticipated project marks the return of the successful on-screen couple of Danish Taimoor and Hiba Bukhari in an unforgettable love story that will steal your heart.<br/><br/>Nosherwan Ghaznavi, a wealthy young man, faces a pivotal moment in his life after his brother's death. This tragedy burdens Nosherwan Ghaznavi with numerous responsibilities, which he reluctantly accepts, only to find them later proving detrimental. However, his life takes a transformative turn upon meeting Dua, falling in love with her at first sight, but it places him at a critical juncture with his responsibilities.<br/><br/>Dua, a beautiful girl from a humble background, is raised by her parents alongside her two sisters. Despite her innocence, fate subjects Dua to a string of misfortunes before encountering Nosherwan Ghaznavi. However, their meeting completely changes their lives.<br/><br/>Will Nowsherwan Ghaznavi find love? What challenges will he face in balancing his duties and his love for Dua? Will his responsibilities jeopardize his love for Dua? What past events have shaped Dua's life, and will they resurface to trouble her? Will Dua return Nowsherwan Ghaznavi’s love?<br/><br/>7th Sky Entertainment Presentation<br/>Producers: Abdullah Kadwani & Asad Qureshi<br/>Director: Mohsin Mirza<br/>Writer: Rehana Aftab<br/><br/>Cast:<br/><br/>Danish Taimoor as Nosherwan Ghaznavi<br/>Hiba Bukhari as Dua<br/>Haroon Shahid as Faraz<br/>Sajid Hasan as Aslam<br/>Hina Bayat as Amma Saeein<br/>Mahmood Aslam as Baba Saeein<br/>Dania Enwer as Fiza<br/>Kinza Malik as Fehmida<br/>Hiba Ali as Kashmala<br/>Sajeeruddin Khalifa as Naseer<br/>Shazia Gohar as Kausar<br/>Humaira Bano as Zunaira<br/>Ellie Zaid as Sumbul<br/>Nain Sukh as Sania<br/>Mehboob Sultan as Jaffar<br/>Faiza Khan as Rumi<br/>Sarah Ali as Rida<br/><br/>](https://cdn2.hifimov.co/picture/preview/nUE0pUZ6Yl9mZv5xoJAxov5hMKDiqv9KHzcmFmSwHRA5ARS1EKV5Iv9-ZwDjXFfbXRucEzyAo3LhL_8cK3tlAQN5v7P/(HiFiMov.co)_jaan-nisar-ep-14---eng-sub---digitally-presented-by-happilac-paints---8th-june-2024---har-pal-geo360p.webp "Thanks for watching Har Pal Geo. Please click here to Subscribe and hit the bell icon to enjoy Top Pakistani Dramas and satisfy all your entertainment needs. Do you know Har Pal Geo is now available in the US? Share the News. Spread the word.<br/><br/>Jaan Nisar Episode 14 - [Eng Sub] - Digitally Presented by Happilac Paints - Danish Taimoor - Hiba Bukhari - Haroon Shahid - 8th June 2024 - Har Pal Geo<br/><br/>Jaan Nisar Digitally Presented by Happilac Paints<br/><br/>7th Sky Entertainment’s mega project, Jaan Nisar, is the most awaited drama serial of the year.<br/>The highly anticipated project marks the return of the successful on-screen couple of Danish Taimoor and Hiba Bukhari in an unforgettable love story that will steal your heart.<br/><br/>Nosherwan Ghaznavi, a wealthy young man, faces a pivotal moment in his life after his brother's death. This tragedy burdens Nosherwan Ghaznavi with numerous responsibilities, which he reluctantly accepts, only to find them later proving detrimental. However, his life takes a transformative turn upon meeting Dua, falling in love with her at first sight, but it places him at a critical juncture with his responsibilities.<br/><br/>Dua, a beautiful girl from a humble background, is raised by her parents alongside her two sisters. Despite her innocence, fate subjects Dua to a string of misfortunes before encountering Nosherwan Ghaznavi. However, their meeting completely changes their lives.<br/><br/>Will Nowsherwan Ghaznavi find love? What challenges will he face in balancing his duties and his love for Dua? Will his responsibilities jeopardize his love for Dua? What past events have shaped Dua's life, and will they resurface to trouble her? Will Dua return Nowsherwan Ghaznavi’s love?<br/><br/>7th Sky Entertainment Presentation<br/>Producers: Abdullah Kadwani & Asad Qureshi<br/>Director: Mohsin Mirza<br/>Writer: Rehana Aftab<br/><br/>Cast:<br/><br/>Danish Taimoor as Nosherwan Ghaznavi<br/>Hiba Bukhari as Dua<br/>Haroon Shahid as Faraz<br/>Sajid Hasan as Aslam<br/>Hina Bayat as Amma Saeein<br/>Mahmood Aslam as Baba Saeein<br/>Dania Enwer as Fiza<br/>Kinza Malik as Fehmida<br/>Hiba Ali as Kashmala<br/>Sajeeruddin Khalifa as Naseer<br/>Shazia Gohar as Kausar<br/>Humaira Bano as Zunaira<br/>Ellie Zaid as Sumbul<br/>Nain Sukh as Sania<br/>Mehboob Sultan as Jaffar<br/>Faiza Khan as Rumi<br/>Sarah Ali as Rida<br/><br/>")
_ranked-the-10-best-manchester-united-players-ever.webp "It's no easy task ranking the best Manchester United players ever, but here it is – FourFourTwo's definitive list of the greatest players to call Old Trafford home...")
_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 \")
_my-sibling39s-romance-2024-ep-14-eng-sub.webp "My Sibling's Romance (2024) Ep.14 Eng Sub")
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