Description

Book Synopsis
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.


Table of Contents
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.

Advanced Intelligent Technologies for Industry:

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    £179.99

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    RRP £199.99 – you save £20.00 (10%)

    Order before 4pm tomorrow for delivery by Tue 30 Jun 2026.

    A Hardback by Kazumi Nakamatsu, Roumen Kountchev, Srikanta Patnaik

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      Publisher: Springer Verlag, Singapore
      Publication Date: 19/05/2022
      ISBN13: 9789811697340, 978-9811697340
      ISBN10: 9811697345

      Description

      Book Synopsis
      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.


      Table of Contents
      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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