In this video, I will be unboxing and giving you my first impressions of the new Redmi 10. Do let me know if you have any questions about the phone and I will answer your questions during my full video review of the phone.
If you find this video helpful and would love to watch more, you can SUBSCRIBE here:
https://bit.ly/2HqeKrW
Timecode:
00:00 - Intro
00:16 - Unboxing
01:00 - Design & Build
02:50 - Display
03:49 - Cameras
04:42 - Specifications
05:06 - Battery
05:38 - Software
Get the Redmi 10 at the link below:-
https://shopee.com.my/product/139641550/11529746817/?utm_campaign=p225693610_ss_my_othr_k19alaunch&utm_content=pr&utm_medium=seller&utm_source=pr
**Redmi 10 is available in two storage variants, 4GB+64GB and 6GB+128GB, and are priced
at RM 649 and RM 749 accordingly.
From August 20 onwards, the Redmi 10 can be purchased online at official Xiaomi stores linked above**
👨🏼💻 My Desk Setup 2020
https://youtu.be/xK1QUClu-V0
Check out my other reviews on REDMI phones:
Redmi Note 10 5G vs Redmi Note 10S: https://youtu.be/vNjYJBNJpq4
Redmi Note 10 5G (First Impressions): https://youtu.be/_fBlMdaA_w0
Redmi Note 10 Pro vs Xiaomi Mi 10T Pro - https://youtu.be/6G84UvYBSZI
Redmi 9T - https://youtu.be/IuLPKqUqFc4
Redmi Note 9S - https://youtu.be/rXE1AAL429Q
Redmi Note 8 Pro - https://youtu.be/RVGSufxI8tU
Redmi K20 Pro - https://youtu.be/gU1QwskD8Bw
Redmi K20 - https://youtu.be/FtbDh_L6FnE
Redmi Note 7 - https://youtu.be/kAhyxqtMfDA
Or check out my entire PHONE REVIEWS playlist!
https://www.youtube.com/playlist?list=PLn02abmm5Ra6rWWE_lPwF9G_7BP50RE-Q
---
ABOUT ME:
Hey you! Thanks for checking out Adam Lobo TV on YouTube!
My name is Adam Lobo, I'm a Tech YouTuber from Kuala Lumpur, Malaysia, who creates high-quality tech reviews on YouTube, Instagram & Facebook and I am currently the only Malaysian Tech YouTuber who produces 6K Resolution content.
My passion is to help everyone to make a purchase decision with all the tech items I get my hands on, where you'll find weekly smartphones, tablets, audio, smart home and other cool tech related videos as well. I produce these videos at least twice a week so do consider subscribing to my channel.
Find me at these Social Media platforms:
YouTube (Adam Lobo TV) - https://www.youtube.com/c/adamlobotv/
Facebook (Adam Lobo TV) - https://www.facebook.com/adamlobotv/
Instagram (@adamlob0) - https://www.instagram.com/adamlob0/
Twitter (@adam_lob0) - https://twitter.com/adam_lobo
Website (Adam Lobo TV) - https://adamlobo.tv/
#adamlobotv #Redmi10 #RedmiMalaysia
同時也有4部Youtube影片,追蹤數超過60萬的網紅動画、はじめてみました【テレビ朝日公式】,也在其Youtube影片中提到,「動はじK-POP部」始動!初回は「TWICE」特集💓👏 韓国人気音楽番組「SBS人気歌謡」より「MORE&MORE」「Feel Special」2曲をノーカット配信!! 林美桜アナと渡辺瑠海アナがTELASA【テラサ】で絶賛配信中の「SBS人気歌謡」を K-POP評論家 古家正亨さんと共に熱く語...
「twice more & more」的推薦目錄:
- 關於twice more & more 在 Facebook 的最讚貼文
- 關於twice more & more 在 國立陽明交通大學電子工程學系及電子研究所 Facebook 的最讚貼文
- 關於twice more & more 在 動画、はじめてみました【テレビ朝日公式】 Youtube 的最佳解答
- 關於twice more & more 在 ふうたのじかん/후우타 의 시간 Youtube 的精選貼文
- 關於twice more & more 在 ロイドごはん Youtube 的最佳解答
- 關於twice more & more 在 TWICE 迷你九輯主打歌《MORE&MORE》MV - Kpopn 的評價
- 關於twice more & more 在 TWICE's "More & More" Dominates Korean Charts, iTunes and ... 的評價
- 關於twice more & more 在 TWICE on Twitter | Twice more & more, Kpop girls ... - Pinterest 的評價
- 關於twice more & more 在 Lirik SCIENTIST Lagu TWICE Trending YouTube Romanized ... 的評價
twice more & more 在 國立陽明交通大學電子工程學系及電子研究所 Facebook 的最讚貼文
【演講】2019/11/19 (二) @工四816 (智易空間),邀請到Prof. Geoffrey Li(Georgia Tech, USA)與Prof. Li-Chun Wang(NCTU, Taiwan) 演講「Deep Learning based Wireless Resource Allocation/Deep Learning in Physical Layer Communications/Machine Learning Interference Management」
IBM中心特別邀請到Prof. Geoffrey Li(Georgia Tech, USA)與Prof. Li-Chun Wang(NCTU, Taiwan)前來為我們演講,歡迎有興趣的老師與同學報名參加!
演講標題:Deep Learning based Wireless Resource Allocation/Deep Learning in Physical Layer Communications/Machine Learning Interference Management
演 講 者:Prof. Geoffrey Li與Prof. Li-Chun Wang
時 間:2019/11/19(二) 9:00 ~ 12:00
地 點:交大工程四館816 (智易空間)
活動報名網址:https://forms.gle/vUr3kYBDB2vvKtca6
報名方式:
費用:(費用含講義、午餐及茶水)
1.費用:(1) 校內學生免費,校外學生300元/人 (2) 業界人士與老師1500/人
2.人數:60人,依完成報名順序錄取(完成繳費者始完成報名程序)
※報名及繳費方式:
1.報名:請至報名網址填寫資料
2.繳費:
(1)親至交大工程四館813室完成繳費(前來繳費者請先致電)
(2)匯款資訊如下:
戶名: 曾紫玲(國泰世華銀行 竹科分行013)
帳號: 075506235774 (國泰世華銀行 竹科分行013)
匯款後請提供姓名、匯款時間以及匯款帳號後五碼以便對帳
※將於上課日發放課程繳費領據
聯絡方式:曾紫玲 Tel:03-5712121分機54599 Email:tzuling@nctu.edu.tw
Abstract:
1.Deep Learning based Wireless Resource Allocation
【Abstract】
Judicious resource allocation is critical to mitigating interference, improving network efficiency, and ultimately optimizing wireless network performance. The traditional wisdom is to explicitly formulate resource allocation as an optimization problem and then exploit mathematical programming to solve it to a certain level of optimality. However, as wireless networks become increasingly diverse and complex, such as high-mobility vehicular networks, the current design methodologies face significant challenges and thus call for rethinking of the traditional design philosophy. Meanwhile, deep learning represents a promising alternative due to its remarkable power to leverage data for problem solving. In this talk, I will present our research progress in deep learning based wireless resource allocation. Deep learning can help solve optimization problems for resource allocation or can be directly used for resource allocation. We will first present our research results in using deep learning to solve linear sum assignment problems (LSAP) and reduce the complexity of mixed integer non-linear programming (MINLP), and introduce graph embedding for wireless link scheduling. We will then discuss how to use deep reinforcement learning directly for wireless resource allocation with application in vehicular networks.
2.Deep Learning in Physical Layer Communications
【Abstract】
It has been demonstrated recently that deep learning (DL) has great potentials to break the bottleneck of the conventional communication systems. In this talk, we present our recent work in DL in physical layer communications. DL can improve the performance of each individual (traditional) block in the conventional communication systems or jointly optimize the whole transmitter or receiver. Therefore, we can categorize the applications of DL in physical layer communications into with and without block processing structures. For DL based communication systems with block structures, we present joint channel estimation and signal detection based on a fully connected deep neural network, model-drive DL for signal detection, and some experimental results. For those without block structures, we provide our recent endeavors in developing end-to-end learning communication systems with the help of deep reinforcement learning (DRL) and generative adversarial net (GAN). At the end of the talk, we provide some potential research topics in the area.
3.Machine Learning Interference Management
【Abstract】
In this talk, we discuss how machine learning algorithms can address the performance issues of high-capacity ultra-dense small cells in an environment with dynamical traffic patterns and time-varying channel conditions. We introduce a bi adaptive self-organizing network (Bi-SON) to exploit the power of data-driven resource management in ultra-dense small cells (UDSC). On top of the Bi-SON framework, we further develop an affinity propagation unsupervised learning algorithm to improve energy efficiency and reduce interference of the operator deployed and the plug-and-play small cells, respectively. Finally, we discuss the opportunities and challenges of reinforcement learning and deep reinforcement learning (DRL) in more decentralized, ad-hoc, and autonomous modern networks, such as Internet of things (IoT), vehicle -to-vehicle networks, and unmanned aerial vehicle (UAV) networks.
Bio:
Dr. Geoffrey Li is a Professor with the School of Electrical and Computer Engineering at Georgia Institute of Technology. He was with AT&T Labs – Research for five years before joining Georgia Tech in 2000. His general research interests include statistical signal processing and machine learning for wireless communications. In these areas, he has published around 500 referred journal and conference papers in addition to over 40 granted patents. His publications have cited by 37,000 times and he has been listed as the World’s Most Influential Scientific Mind, also known as a Highly-Cited Researcher, by Thomson Reuters almost every year since 2001. He has been an IEEE Fellow since 2006. He received 2010 IEEE ComSoc Stephen O. Rice Prize Paper Award, 2013 IEEE VTS James Evans Avant Garde Award, 2014 IEEE VTS Jack Neubauer Memorial Award, 2017 IEEE ComSoc Award for Advances in Communication, and 2017 IEEE SPS Donald G. Fink Overview Paper Award. He also won the 2015 Distinguished Faculty Achievement Award from the School of Electrical and Computer Engineering, Georgia Tech.
Li-Chun Wang (M'96 -- SM'06 -- F'11) received Ph. D. degree from the Georgia Institute of Technology, Atlanta, in 1996. From 1996 to 2000, he was with AT&T Laboratories, where he was a Senior Technical Staff Member in the Wireless Communications Research Department. Currently, he is the Chair Professor of the Department of Electrical and Computer Engineering and the Director of Big Data Research Center of of National Chiao Tung University in Taiwan. Dr. Wang was elected to the IEEE Fellow in 2011 for his contributions to cellular architectures and radio resource management in wireless networks. He was the co-recipients of IEEE Communications Society Asia-Pacific Board Best Award (2015), Y. Z. Hsu Scientific Paper Award (2013), and IEEE Jack Neubauer Best Paper Award (1997). He won the Distinguished Research Award of Ministry of Science and Technology in Taiwan twice (2012 and 2016). He is currently the associate editor of IEEE Transaction on Cognitive Communications and Networks. His current research interests are in the areas of software-defined mobile networks, heterogeneous networks, and data-driven intelligent wireless communications. He holds 23 US patents, and have published over 300 journal and conference papers, and co-edited a book, “Key Technologies for 5G Wireless Systems,” (Cambridge University Press 2017).
twice more & more 在 動画、はじめてみました【テレビ朝日公式】 Youtube 的最佳解答
「動はじK-POP部」始動!初回は「TWICE」特集💓👏
韓国人気音楽番組「SBS人気歌謡」より「MORE&MORE」「Feel Special」2曲をノーカット配信!!
林美桜アナと渡辺瑠海アナがTELASA【テラサ】で絶賛配信中の「SBS人気歌謡」を
K-POP評論家 古家正亨さんと共に熱く語ります!
★TELASAではTWICEのSBS人気歌謡 全カムバック回を配信中!★
「MORE&MORE」「Feel Special」のほか
新曲「Alcohol-Free」を含む全23曲配信しています。
▼詳細はこちらから▼
https://bit.ly/3h5YL1a
また、TELASAではSBS人気歌謡を韓国放送からわずか5日後、日本最速で配信中です!
K-POPの最新トレンドを是非TELASAでチェックしてください!
▼SBS人気歌謡はこちらから▼
https://bit.ly/36171sL
▼その他、充実のK-POP関連ラインナップはこちらから▼
https://bit.ly/3w8cit4
林美桜Instagram
https://www.instagram.com/miou0hayashi/?hl=ja
渡辺瑠海Instagram
https://www.instagram.com/rumi_watanabe_ex/?hl=ja
古家正亨Twitter
https://twitter.com/furuyamasayuki0?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor
【動はじ】公式Instagram
https://www.instagram.com/douhajiex/
【動はじ】公式Twitter
https://twitter.com/douhaji_ex
【動はじ】公式TikTok
https://www.tiktok.com/@dogahajime?lang=ja
公式Youtubeチャンネル「動画、はじめてみました」
https://t.co/wBRn2Sq3Iu?amp=1
【動はじ】公式HP
https://www.tv-asahi.co.jp/douhaji/
#SBS人気歌謡 #TWICE #KPOP #SBS #twice #AlcoholFree #MOREandMORE #FeelSpecial #林美桜 #渡辺瑠海 #古家正亨 #ONCE #動画はじめてみました #動はじ #TELASA
twice more & more 在 ふうたのじかん/후우타 의 시간 Youtube 的精選貼文
※今回話している事はただの個人的な予想です
そのツイート(この方の考察力凄い)
https://twitter.com/_LightOfDawn_/status/1256974312117923841
《チャンネル登録はこちら》
@ふうたのじかん/후우타 의 시간
メンバーSNS
ふうた
Twitter : https://twitter.com/futa_0928
instagram: https://www.instagram.com/futa_0928/?...
ふみや
Twitter : https://twitter.com/fumiya___238__
instagram: https://www.instagram.com/fumiya238c/?hl=ja
カメラマン
Twitter :https://twitter.com/futanozikan_cam
instagram: https://www.instagram.com/loy_futacam...
《ホームページ 】http://futahomepage.jimdo.com
エンディング曲
妄想リフレインDelusion Park-Single「アウトガール」
https://t.co/EN3jM0sh1r?amp=1
————————————————————————————————————————————————————————
⚫︎映像提供
・PIXTA
・Storyblocks video https://ja.videoblocks.com/
・Storyblocks images https://ja.storyblocks.com/stock-image
⚫︎音楽提供
楽曲提供 UUUMUSIC
・DOVA-SYNDROME https://dova-s.jp/
・YouTubeAudioLibrary
・甘茶の音楽工房
・H/MIX GALLERY
・DOVA-SYNDROME
・OtoLogic
・musmus
・Production Music by http://www.epidemicsound.com
・Storyblocks Audio https://ja.audioblocks.com/
・DAVID CUTTER MUSIC http://www.davidcuttermusic.com /
・TheFatRat https://www.youtube.com/user/ThisIsTheFatRat
⚫︎パソコン
・GALLERIA ゲーミングPC
・MacBookPro2017
⚫︎編集ソフト
・Adobe Premiere Pro
・Adobe After Effects
・Adobe Photo Shop
⚫︎撮影機材
・GH5S
・EOS Kissx7i
・Gopro Hero7
※不適切な可能性があるコメントは自動的に除かれている可能性がございます。
#TWICE #MOREandMORE #MOREnMORE
twice more & more 在 ロイドごはん Youtube 的最佳解答
今夜は牛丼の有名チェーン店へ!神奈川県藤沢市にある『すき家辻堂店』へお邪魔してきました!すき家、といえば「松屋」「吉野家」に並ぶ「牛丼御三家」とも言われ、その中でも店舗数では1930店舗(2019.3現在)でトップに躍り出るなど絶大な支持と人気を誇っています!そのすき家に実は裏メニューが…その名も「キング牛丼」!以前は期間限定メニューとして販売されていましたが、販売終了後も人気は続き裏メニューとして定着しています。特盛、メガ盛りのさらに2倍量があり、その重量は1000g越え、カロリーは…?!計算するのも怖いくらいの数字ですね笑 このキング牛丼をなんと夜中3時に食べるという今回、果たして完食なるか…?それでは早速動画をご覧下さい!
Tonight, We go to a famous gyudon chain store! We visited the "Sukiya Tsujido store" in Fujisawa city, Kanagawa prefecture! The Sukiya is also called the "Gyudon Gosanke", which is lined with the "Matsuya" and "Yoshinoya", and among them, it boasts tremendous support and popularity as it jumps to the top with 1930 stores (as of March 2019)! The Sukiya actually has a back menu ... its name is "King Gyudon"! Previously, it was sold as a limited time menu, but it has continued to be popular even after the sale ended and has been established as a secret menu. It is twice as large as the special and mega servings, weighs more than 1000g, and the calories are ...?! It's scary to calculate! This time We ate this King Gyudon at 3:00 in the middle of the night.. Could they eat? Then please see the video immediately!
*撮影に際しては、お店の方や周りのお客様に充分配慮して撮影をおこなっています。
いつもありがとうございます!( ´ ▽ ` )
高評価&チャンネル登録もよろしくお願いいたします!
#キング牛丼 #すき家 #辻堂 #ロイドごはん #フラメンコロイド
—————《ロイド のサブチャンネル》—————————————
【フラメンコロイド のサブチャンネルもよろしくお願いします!】
ロイドチャネル
https://www.youtube.com/channel/UCwNlBAUziFWkJZFY_u3t65A
フラメンコロイド
https://www.youtube.com/channel/UCsFJHNg3SR41R2a3vctUInw
—————《本日の店舗情報》—————————————————
『すき家 辻堂店』
https://www.google.co.jp/amp/s/s.tabelog.com/kanagawa/A1404/A140404/14049297/top_amp/
—————《twitter》—————————————————————
★ロイドごはん
https://twitter.com/roidgohan
★メロンシート
https://twitter.com/meloncito310
★フラメンコロイド
https://twitter.com/flamenkoroid
—————《instagram》———————————————————-
★ロイドごはん
https://www.instagram.com/roidgohan
★メロンシート
https://www.instagram.com/satoshimelo...
★フラメンコロイド
https://www.instagram.com/flamenkoroid
—————《各サイトの情報》—————————————————
★ロイドごはん《人生をドラマチックに彩る旅とグルメと温泉図鑑》
https://ramenjapan.net/
★メロンシート《フラメンコギターの世界一の旅》
https://pordiotama3.xsrv.jp
★フラメンコロイド 《フラメンコロイドの神話と伝説》
https://flamenkoroid.net
—————《ロイドおすすめ動画はこちら》———————————
【天下一品ばかりを集めました!】
https://www.youtube.com/playlist?list=PL6yW17uB9uIVqXqZdWBRcaZfZfwGJBuZw
神回【ラーメン二郎の貴重映像】全増しが出来るまで一部始終を大公開!【ラーメン二郎 ひばりヶ丘店】ramen
https://youtu.be/mBFcdMHyaxA
巨大塊肉に挑戦!【いきなりステーキ】2人で1.5キロの結果は?【飯テロ】
https://youtu.be/lxn_oa-rCvQ
一瞬でファンになる86才職人のおすすめラーメン【ほりえラーメン】感動の鹿児島グルメ
https://youtu.be/0IuRURqh4ek
屋台でラーメンが出来上がるまでの職人技をお見せします【ボギー亭 虎ちゃん】味噌ニンニクラーメン【飯テロ】
https://youtu.be/ZJoloTuYOQ4
神技!いつもびっくりするよ!【がんちゃん】お好み焼きの名店に感動!【飯テロ】× フラメンコロイド 広島県
https://youtu.be/8q_j5QX4-vg
消滅する屋台ラーメンの職人技【幸っちゃん】ラーメンの作り方一部始終【ramen】
https://youtu.be/prw-olhOAyI
twice more & more 在 TWICE's "More & More" Dominates Korean Charts, iTunes and ... 的推薦與評價
TWICE comes back strong with "More and More" as it tops Korean charts, iTunes and YouTube trends on June 1.2 hours after its release, More … ... <看更多>
twice more & more 在 TWICE on Twitter | Twice more & more, Kpop girls ... - Pinterest 的推薦與評價
May 25, 2020 - “TWICE(트와이스) "MORE & MORE" CONCEPT PHOTO TWICE TWICE THE 9TH MINI ALBUM MORE & MORE 2020.06.01 MON 6PM #TWICE #트와이스 #MOREandMORE” ... <看更多>
twice more & more 在 TWICE 迷你九輯主打歌《MORE&MORE》MV - Kpopn 的推薦與評價
More videos on YouTube · Switch camera · Share. Include playlist. An error occurred while retrieving sharing information. Please try again later. ... <看更多>