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International conference on intelligent emerging methods of artificial intelligence & cloud computing = proceedings of IEMAICLOUD 2021 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	International conference on intelligent emerging methods of artificial intelligence & cloud computing/ edited by Fausto Pedro Garcia Marquez.
其他題名:	proceedings of IEMAICLOUD 2021 /
其他題名:	IEMAICLOUD 2021
其他作者:	Garcia Marquez, Fausto Pedro.
團體作者:	IEMAICLOUD (Conference)
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xviii, 565 p. :ill. (some col.), digital ;24 cm.
內容註:	Mathematical Modelling to Predict Fuel Consumption in a Blast Furnace Using Artificial Neural Networks -- "A Hybrid Model based on Behavioural and Situational Context to Detect Best Time to deliver Notifications on mobile devices" -- Peculiarities of Image Recognition by the Hopfield Neural Network -- PDCloudEX Software Defined Network -- Business Analytics: Trends and Challenges -- Security Operation Modes for Enhancement of Utility Computer Network Security -- "Design and Analysis of Digital Compressed ECG Sensing Encoder for IoT Health Monitoring Devices".
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-030-92905-3
ISBN:	9783030929053

International conference on intelligent emerging methods of artificial intelligence & cloud computing = proceedings of IEMAICLOUD 2021 /
International conference on intelligent emerging methods of artificial intelligence & cloud computingproceedings of IEMAICLOUD 2021 /[electronic resource] :IEMAICLOUD 2021edited by Fausto Pedro Garcia Marquez. - Cham :Springer International Publishing :2022. - xviii, 565 p. :ill. (some col.), digital ;24 cm. - Smart innovation, systems and technologies,v. 2732190-3026 ;. - Smart innovation, systems and technologies ;v. 273..

Mathematical Modelling to Predict Fuel Consumption in a Blast Furnace Using Artificial Neural Networks -- "A Hybrid Model based on Behavioural and Situational Context to Detect Best Time to deliver Notifications on mobile devices" -- Peculiarities of Image Recognition by the Hopfield Neural Network -- PDCloudEX Software Defined Network -- Business Analytics: Trends and Challenges -- Security Operation Modes for Enhancement of Utility Computer Network Security -- "Design and Analysis of Digital Compressed ECG Sensing Encoder for IoT Health Monitoring Devices".

This book consists of different accepted papers of the conference. Firstly, the artificial intelligence and its application-related topics are provided. Secondly, cloud computing and related topics are also provided. The book has been designed to help research organisations and business leaders from across industries to transform their organisations into AI-driven disruptors. The utility of the technology in the face of massive globally interconnected complexity is explored. The significant characteristics of IEMAICLOUD are the promotion of inevitable dialogue between scientists, researchers, engineers, corporate's and scholar's students to mitigate the gap between academia, industry and governmental ethics which has been fostered through keynote speeches, workshops, panel discussion and oral presentations by eminent researchers in relevant field. The industry personnel depict cutting-edge researches in artificial intelligence and cloud computing to convey academia regarding real-time scenario and practical findings. Conference has been well equipped with talks by industry experts on the state of the art in computer science, lectures by eminent scientists designed to inspire and inform presentations by innovative researchers coming from 20+ countries from Europe and abroad. There has been discussion-oriented sessions and networking breaks to enable collaborations. Papers consist abstract, result, discussions and conclusions by the help of different tables and diagrams.

ISBN: 9783030929053

Standard No.: 10.1007/978-3-030-92905-3doiSubjects--Topical Terms:

606815
Artificial intelligence
--Congresses.

LC Class. No.: Q334 / .I45 2021

Dewey Class. No.: 006.3

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