AirAsia的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列包括賽程、直播線上看和比分戰績懶人包

Machine Learning and Internet of Things for Societal Issues

為了解決AirAsia的問題，作者 這樣論述：

Dr. Ch. Satyanarayana is currently working as Professor in the Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Kakinada, AP, INDIA. He received his Ph.D. in 2007 from JNTU. He has 20+ years of teaching and research experience and 10 years of administrative e

xperience in various capacities like Controller of Examinations, Head of the Department, and Director Academic and Planning. He has supervised 25 Ph.D. students and 200+ Master’s Students. He is Senior Member of IEEE. His research interests include image processing, speech recognition, pattern recog

nition, network security and big data analytics, and computational intelligence.Dr. Xiao-Zhi Gao received his B.Sc. and M.Sc. degrees from the Harbin Institute of Technology, China, in 1993 and 1996, respectively. He obtained his D.Sc. (Tech.) degree from the Helsinki University of Technology (now A

alto University), Finland in 1999. In January 2004, he was appointed as Docent (Adjunct Professor) at the same university. He is now working as Professor of data science at the University of Eastern Finland, Finland. He is also Guest Professor at the Harbin Institute of Technology, Beijing Normal Un

iversity, and Shanghai Maritime University, China. Prof. Gao has published more than 400 technical papers on refereed journals and international conferences, and his current Google Scholar H-index is 32. His research interests are nature-inspired computing methods (e.g., neural networks, fuzzy logic

, evolutionary computing, swarm intelligence, and artificial immune systems) with their applications in optimization, data mining, machine learning, control, signal processing, and industrial electronics.Dr. Choo-Yee Ting is currently working as Associate Professor at the Faculty of Computing and In

formatics, Multimedia University, Cyberjaya, Malaysia. He is also Deputy Dean of the Institute for Postgraduate Studies, Multimedia University. In year 2002, Choo-Yee Ting was awarded the Fellow of Microsoft Research by Microsoft Research Asia, Beijing, China. He has been active in research projects

related to predictive analytics and Big Data. Most of the projects were funded by MOE, MOSTI, Telekom Malaysia, MDeC, and industries. In year 2014, he and his team members won two national-level Big Data Analytics competitions. Dr. Ting has been the trainer for MDeC and INTAN for courses related to

Big Data and Data Science. He is also Consultant, Mentor, and assessor for projects under MDeC funding. Currently he is working on Trouble Ticket Resolution prediction for Telekom Malaysia, AirAsia seat capacity optimization, and Dengue outbreak prediction for the government of Philippines. Dr. Tin

g is certified in Microsoft Technology Associate (Database), IBM DB2 CDA, and the Coursera Data Science Specialization (John Hopkins University).Dr. Naresh Babu Muppalaneniis currently working as Assistant Professor in the Department of Computer Science and Engineering at the National Institute of T

echnology Silchar. He received his M.Tech. from Andhra University and Ph.D. from Acharya Nagarjuna University. He has published more than 30 papers in different International journals, book chapters, conference proceedings, and edited research volumes. He has published 5 volumes in Springer Briefs i

n Forensic and Medical Bioinformatics. He is Fellow of IETE, Life Member of CSI, Member of ISCA, and Senior Member of IEEE. He is a recipient of Best Teacher Award from JNTU Kakinada. He has completed research projects worth of 2 crore rupees from DST, DRDO. He has organized 6 International Conferen

ces and 4 Workshops. His research interests are artificial intelligence in biomedical engineering, human and machine interaction and applications of intelligent system techniques, social network analysis computational systems biology, bioinformatics, and cryptography.

AirAsia進入發燒排行的影片

2019新冠狀病毒與數字化：冠狀病毒如何影像到數字化

為了解決AirAsia的問題，作者林艾瑪 這樣論述：

當初在中國被發覺的2019新冠狀病毒快速變成大流行震撼了全球，而從中國通過數字化技術應對疫情的方式能取得導向。中國疫情管理路子為了達到各類目標而戳力利用各數字科技：當然包括密切接觸人組蹤跡而用機器人緩解醫療系統負擔等為成功抗病。不過還利用許多數位技術幫助公民轉入正常生活習慣同時避免疫情重新爆發、通過物聯網支持行銷現代化以及智能生態系統創新。因此中國案例能夠作為全球的一個導向來想像數字技術的的角色， 和數字化未來會創造怎樣的世界。

空服汉语(簡體字版)

為了解決AirAsia的問題，作者李育修,曾金金 這樣論述：

　　Chinese for Cabin Crews is the textbook adopted by Chinese teachers/trainers/tutors for non-native Chinese language learners (including but not limited to undergraduate airline-major students, airline trainees, ground staffs and cabin crews/flight attendants), preparing to communicate wi

th Chinese-speaking passengers. The purpose of this textbook is to expose Chinese as foreign/second language learners who work in the airport and in the cabin to the types of Chinese vocabularies, conversations and tasks that they encounter in their workplace. 　　This textbook is based on Dr. Hugo Y

u-Hsiu Lee’s lesson handouts developed from his and the oldest undergraduate Chinese-language program for the leading Airline Business Department of Thailand (International Air Travel Associations Authorized Training Center) at Suan Sunandha Rajabhat University (Bangkok). The program in consideratio

n is increasingly recognized as second-to-none for the total number (200+) of alumni who have made successful careers in major airline companies in the ASEAN region and the gulf states (including but not limited to Thai Airways, Thai Smile, AirAsia, Nok Air, Thai Lion Air, Bangkok Airways, Viet Jet,

China Airlines, EVA Air and Emirates, UAE).  

評估航空公司在新冠肺炎疫情下的經營策略

為了解決AirAsia的問題，作者黃昱綾 這樣論述：

嚴重特殊傳染性肺炎（COVID-19）疫情對航空運輸產生了巨大影響。全球航空產業在新冠毅情肆虐下，產生了空前的經營危機。航班的減少對世界各國的航空業產生了很大影響。除了減少班次和裁員等措施外，為了度過這波金融危機，航空公司不斷創新，開拓了新的商機。面對新冠肺炎疫情的肆虐，航空公司不得不調整其經營模式，轉虧為盈。因此航空公司如何在新冠肺炎疫情下改變其經營模式，成為本研究欲探討的研究議題。本研究運用混合多準則決策研究方法針對航空公司在新冠肺炎疫情下的經營策略進行探討，首先採用修正式模糊德爾菲法(Modified Fuzzy Delphi Method, MFDM)建構出五項構面與十四項準則評估指

標之重要關鍵因素，再以模糊修正式決策實驗室分析基礎之網路層級分析法(Fuzzy Modified DEMATEL-based Analytic Network Process, Fuzzy Modified DANP)建構航空公司在新冠肺炎疫情下的經營策略關鍵因素之相互影響關係，並探討每項構面與準則間之重要性權重。再將上述原則運用修正式折衷排序法(Modified VIKOR)，針對兩家推動航空公司在新冠肺炎疫情下的經營策略之航空公司進行績效評估，找出執行策略的關鍵問題及協助提出較理想的改善策略。研究結果發現，從航空公司在新冠肺炎疫情下的經營策略的構面來說，調整營運政策應優先考量，其中提升機場

服務水準，票價補貼政策調及整產品結構更是最為關鍵。而探讨航空公司在新冠肺炎疫情下的經營策略影響之重要性來看，應將策略聯盟納入執行計畫中，且同業結盟重要性程度最高，將直接影響航空公司的整體績效表現。最後，本研究希望將研究結果與建議結合起來提供給航空公司作為未來規劃航空公司在新冠肺炎疫情下的經營策略之參考。