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Advanced Intelligent Technologies for Industry = Proceedings of 2nd International Conference on Advanced Intelligent Technologies (ICAIT 2021) /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Advanced Intelligent Technologies for Industry/ edited by Kazumi Nakamatsu, Roumen Kountchev, Srikanta Patnaik, Jair M. Abe, Andrey Tyugashev.
Reminder of title:
Proceedings of 2nd International Conference on Advanced Intelligent Technologies (ICAIT 2021) /
other author:
Nakamatsu, Kazumi.
Description:
XX, 595 p. 251 illus., 165 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computational intelligence. -
Online resource:
https://doi.org/10.1007/978-981-16-9735-7
ISBN:
9789811697357
Advanced Intelligent Technologies for Industry = Proceedings of 2nd International Conference on Advanced Intelligent Technologies (ICAIT 2021) /
Advanced Intelligent Technologies for Industry
Proceedings of 2nd International Conference on Advanced Intelligent Technologies (ICAIT 2021) /[electronic resource] :edited by Kazumi Nakamatsu, Roumen Kountchev, Srikanta Patnaik, Jair M. Abe, Andrey Tyugashev. - 1st ed. 2022. - XX, 595 p. 251 illus., 165 illus. in color.online resource. - Smart Innovation, Systems and Technologies,2852190-3026 ;. - Smart Innovation, Systems and Technologies,37.
Utilization of the Open-Source Arduino Platform to Control Based on Logic Et -- Ontology Implementation of OPC UA and Automation ML: A Review -- Airport Cab Scheduling Model Based on Queuing Theory -- Machine Reading Comprehension Model Based on Multi-head Attention Mechanism -- Design of Military Physical Fitness Evaluation System based on Big Data Clustering Algorithm -- ResNet-Based Multiscale U-Net for Human Parsing -- Short-Term Electricity Price Forecast Based on SSA-SVM Model -- Research on Mobile Advertising Click-through Rate Estimation Based on Neural Network -- Research on Macroeconomic Prediction Technology Based on Wavelet Neural Network -- Design Research on Financial Risk Control Model Based on CNN.
The book includes new research results of scholars from the Second International Conference on Advanced Intelligent Technologies (ICAIT 2021) subtitled Intelligent Technology and Industry organized by IRNet International Academic Communication Center, held during October 15–17, 2021. The book covers research work from active researchers who are working on collaboration of industry and various intelligent technologies such as intelligent technologies applicable/applied to manufacturing and distribution of industrial products, factory automation, business, etc. The book focuses on theory, design, development, testing, and evaluation of all intelligent technologies applicable/applied to various parts of industry and its infrastructure. The topics included are all computational intelligence techniques applicable/applied to industry, intelligent techniques in data science applicable/applied to business and management, intelligent network systems applicable/applied to industrial production, intelligent technologies applicable to smart agriculture, and intelligent information systems for agriculture.
ISBN: 9789811697357
Standard No.: 10.1007/978-981-16-9735-7doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Advanced Intelligent Technologies for Industry = Proceedings of 2nd International Conference on Advanced Intelligent Technologies (ICAIT 2021) /
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Utilization of the Open-Source Arduino Platform to Control Based on Logic Et -- Ontology Implementation of OPC UA and Automation ML: A Review -- Airport Cab Scheduling Model Based on Queuing Theory -- Machine Reading Comprehension Model Based on Multi-head Attention Mechanism -- Design of Military Physical Fitness Evaluation System based on Big Data Clustering Algorithm -- ResNet-Based Multiscale U-Net for Human Parsing -- Short-Term Electricity Price Forecast Based on SSA-SVM Model -- Research on Mobile Advertising Click-through Rate Estimation Based on Neural Network -- Research on Macroeconomic Prediction Technology Based on Wavelet Neural Network -- Design Research on Financial Risk Control Model Based on CNN.
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