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Trends in data engineering methods f...

International Conference on Artificial Intelligence and Applied Mathematics in Engineering (2020 :)

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Trends in data engineering methods for intelligent systems = proceedings of the International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2020) /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Trends in data engineering methods for intelligent systems/ edited by Jude Hemanth ... [et al.].
其他題名:	proceedings of the International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2020) /
其他題名:	ICAIAME 2020
其他作者:	Hemanth, Jude.
團體作者:	International Conference on Artificial Intelligence and Applied Mathematics in Engineering
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xxvi, 773 p. :ill., digital ;24 cm.
內容註:	Prediction of Liver Cancer by Artificial Neural Network -- Remarks on the limit-circle classification of Conformable Fractional Sturm-Liouville Operator -- Improving Search Relevance with Word Embedding Based Clusters -- Improving Search Relevance with Word Embedding Based Clusters -- Diagnosis of Parkinson's Disease with Acoustic Sounds by Rule Based Model -- Development of Face Recognition System by Using Deep Learning and FaceNet Algorithm in the Operations Processes -- Mobile Assisted Travel Planning Software: The Case of Burdur -- Optimal Coordination of Directional Overcurrent Relays Using Artificial Ecosystem-based Optimization -- The Effect of Auscultation Areas on Nonlinear Classifiers in Computerized Analysis of Chronic Obstructive Pulmonary Disease.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Engineering applications -
電子資源:	https://doi.org/10.1007/978-3-030-79357-9
ISBN:	9783030793579

Trends in data engineering methods for intelligent systems = proceedings of the International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2020) /
Trends in data engineering methods for intelligent systemsproceedings of the International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2020) /[electronic resource] :ICAIAME 2020edited by Jude Hemanth ... [et al.]. - Cham :Springer International Publishing :2021. - xxvi, 773 p. :ill., digital ;24 cm. - Lecture notes on data engineering and communications technologies,v.762367-4512 ;. - Lecture notes on data engineering and communications technologies ;v.76..

Prediction of Liver Cancer by Artificial Neural Network -- Remarks on the limit-circle classification of Conformable Fractional Sturm-Liouville Operator -- Improving Search Relevance with Word Embedding Based Clusters -- Improving Search Relevance with Word Embedding Based Clusters -- Diagnosis of Parkinson's Disease with Acoustic Sounds by Rule Based Model -- Development of Face Recognition System by Using Deep Learning and FaceNet Algorithm in the Operations Processes -- Mobile Assisted Travel Planning Software: The Case of Burdur -- Optimal Coordination of Directional Overcurrent Relays Using Artificial Ecosystem-based Optimization -- The Effect of Auscultation Areas on Nonlinear Classifiers in Computerized Analysis of Chronic Obstructive Pulmonary Disease.

This book briefly covers internationally contributed chapters with artificial intelligence and applied mathematics-oriented background-details. Nowadays, the world is under attack of intelligent systems covering all fields to make them practical and meaningful for humans. In this sense, this edited book provides the most recent research on use of engineering capabilities for developing intelligent systems. The chapters are a collection from the works presented at the 2nd International Conference on Artificial Intelligence and Applied Mathematics in Engineering held within 09-10-11 October 2020 at the Antalya, Manavgat (Turkey) The target audience of the book covers scientists, experts, M.Sc. and Ph.D. students, post-docs, and anyone interested in intelligent systems and their usage in different problem domains. The book is suitable to be used as a reference work in the courses associated with artificial intelligence and applied mathematics.

ISBN: 9783030793579

Standard No.: 10.1007/978-3-030-79357-9doiSubjects--Topical Terms:

2073671
Artificial intelligence
--Engineering applications

LC Class. No.: TA347.A78

Dewey Class. No.: 620.0028563

Trends in data engineering methods for intelligent systems = proceedings of the International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2020) /
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