Titlebook: Emerging Technologies in Computing; Third EAI Internatio Mahdi H. Miraz,Peter S. Excell,Maaruf Ali Conference proceedings 2020 ICST Institu

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書目名稱Emerging Technologies in Computing影響因子(影響力)




書目名稱Emerging Technologies in Computing影響因子(影響力)學科排名




書目名稱Emerging Technologies in Computing網絡公開度




書目名稱Emerging Technologies in Computing網絡公開度學科排名




書目名稱Emerging Technologies in Computing被引頻次




書目名稱Emerging Technologies in Computing被引頻次學科排名




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書目名稱Emerging Technologies in Computing年度引用學科排名




書目名稱Emerging Technologies in Computing讀者反饋




書目名稱Emerging Technologies in Computing讀者反饋學科排名

巨頭

無聊的人

準則

SIoT: Secure IoT Framework for Smart Environmentsgence. Health and social care are critical areas where environmental knowledge can be used; where the quality of life can be enhanced and sustained without financial costs. The implementation of this modern health and social care model is largely dependent on the implemented technologies (sensors an

hypnotic

Review of Hybrid Control Designs for Underactuated Quadrotor with Unmodelled Dynamic Factors an effect of unmodelled dynamic factors. In addition to this, manuscript addresses different approaches to acquire dynamic model for quadrotor with less assumptions such as system identification and Newton Euler formulation techniques. The paper details the short comings related to hybrid control d

DAUNT

DAUNT

Optically Inspired Cryptography and Cryptanalysis: A Survey and Research Directions posed by the evolving cyber threat landscape. This paper reviews the states-of-the-arts optical cryptography and cryptanalysis techniques with a special focus on different optical encryption technologies and their limitations. Specifically, security gaps in the classic Double Random Phase Encoding

舞蹈編排

天然熱噴泉

nitric-oxide

A Multi-level Consensus Clustering Framework for Customer Choice Modelling in Travel Industry desires, is a major issue for improving the personalization of recommendations in flight search queries. Indeed, when booking travel itineraries, different customers purchase tickets according to different criteria, like price, duration of flight, lay-over time, etc. However, clustering algorithm a