國立虎尾科技大學 |

Artificial Intelligence Applications and Innovations = 17th IFIP WG 12.5 International Conference, AIAI 2021, Hersonissos, Crete, Greece, June 25–27, 2021, Proceedings /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Artificial Intelligence Applications and Innovations/ edited by Ilias Maglogiannis, John Macintyre, Lazaros Iliadis.
Reminder of title:	17th IFIP WG 12.5 International Conference, AIAI 2021, Hersonissos, Crete, Greece, June 25–27, 2021, Proceedings /
other author:	Iliadis, Lazaros.
Description:	XXXIII, 795 p. 284 illus., 223 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Image Processing and Computer Vision. -
Online resource:	https://doi.org/10.1007/978-3-030-79150-6
ISBN:	9783030791506

Artificial Intelligence Applications and Innovations = 17th IFIP WG 12.5 International Conference, AIAI 2021, Hersonissos, Crete, Greece, June 25–27, 2021, Proceedings /
Artificial Intelligence Applications and Innovations17th IFIP WG 12.5 International Conference, AIAI 2021, Hersonissos, Crete, Greece, June 25–27, 2021, Proceedings /[electronic resource] :edited by Ilias Maglogiannis, John Macintyre, Lazaros Iliadis. - 1st ed. 2021. - XXXIII, 795 p. 284 illus., 223 illus. in color.online resource. - IFIP Advances in Information and Communication Technology,6271868-422X ;. - IFIP Advances in Information and Communication Technology,449.

Adaptive Modeling, Neuroscience -- ‘If Only I Would Have Done That...’: A Controlled Adaptive Network Model for Learning by Counterfactual Thinking -- A Computational Model for the Second-Order Adaptive Causal Relationships between Anxiety, Stress and Physical Exercise -- AI in Biomedical Applications -- ebioMelDB: Multi-modal database for melanoma and its application on estimating patient prognosis -- Improved Biomedical Entity Recognition via longer context modelling -- Scalable NPairLoss-based Deep-ECG for ECG Verification -- A Comparative Study of Embedded Feature Selection Methods on Microarray data -- AI Impacts/Big Data -- The AI4Media project: Use of Next-generation Artificial Intelligence Technologies for Media Sector Applications -- Regression Predictive Model to analyze Big Data Analytics in Supply Chain Management -- Automated Machine Learning -- An Automated Machine Learning Approach for Predicting Chemical Laboratory Material Consumption -- An Ontology-Based Concept for Meta AutoML -- Object Migration Automata for Non-Equal Partitioning Problems with Known Partition Sizes -- Autonomous Agents -- Enhanced Security Framework for Enabling Facial Recognition in Autonomous Shuttles Public Transportation during COVID-19 -- Evaluating Task-General Resilience Mechanisms in a Multi-Robot Team Task -- Clustering -- A Multi-View Clustering Approach for Analysis of Streaming Data -- Efficient Approaches for Density-Based Spatial Clustering of Applications with Noise -- Self-organizing maps for optimized robotic trajectory planning applied to surface coating -- Convolutional Neural Networks -- An autoencoder convolutional neural network framework for Sarcopenia detection based on multi-frame ultrasound image slices -- Automatic Classification of XCT Images in Manufacturing -- Cross-lingual Approaches for Task-specific Dialogue ActRecognition -- Just-in-time Biomass Yield Estimation with Multi-Modal Data and Variable Patch Training Size -- Robustness testing of AI systems: A case study for traffic sign recognition -- Data Mining/ Word Counts -- BIBLIOBICLUSTER: A bicluster algorithm for Bibliometrics -- Topic identification via human interpretation of word clouds: The case of Instagram hashtags -- Deep Learning -- A Comparative Study of Deep Learning Techniques for Financial Indices Prediction -- An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering -- Collaborative Edge-Cloud Computing for Personalized Fall Detection -- Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection -- Neural Network Compression Through Shunt Connections and Knowledge Distillation for Semantic Segmentation Problems -- System-wide anomaly detection of industrial control systems via deep learning and correlation analysis -- Verification of Size Invariance in DNN Activations using Concept Embeddings -- Artificial Intelligence in Music Composition -- Deep Learning and AI for Optimization in 5G Technology -- Fuzzy Modeling -- Intuitionistic Fuzzy Neural Network for Time Series Forecasting - The Case of Metal Prices -- Hyperdimensional Computing -- PQ-HDC: Projection-based Quantization Scheme for Flexible and Efficient Hyperdimensional Computing -- Hyperdimensional Computing with Learnable Projection for User Adaptation Framework -- Internet of Things/Internet of Energy -- ”SAVE” – an Integrated Approach of Personal and Home Safety for Active Assisted Living -- BEMS in the Era of Internet of Energy: A Review -- Machine Learning -- A Survey of Methods for Detection and Correction of Noisy Labels in Time Series Data -- An automated tool to support an intelligence learner management system using Learning Analytics and Machine Learning -- Classification of Point Clouds with Neural Networks and Continuum-Type Memories -- Cyber Supply Chain Threat Analysis and Prediction using Machine Learning and Ontology -- Intelligent Techniques and Hybrid Systems Experiments Using the Acumen Modeling and Simulation Environment -- Predicting CO2 Emissions for Buildings Using Regression and Classification -- Robust Pose Estimation Based on Maximum Correntropy Criterion -- The Generative Adversarial Random Neural Network -- Using Machine Learning Methods to Predict Subscriber Churn of a Web-based Drug Information Platform -- Analysis and Prediction for House Sales Price Using a Hybrid Machine Learning Approach -- Multi Agent Systems -- Dynamic Plume Tracking Utilizing Symbiotic Heterogeneous Remote Sensing Platforms -- Improving the flexibility of production scheduling in flat steel production through standard and AI-based approaches: challenges and perspectives -- Natural Language -- A comparative assessment of state-of-the-art methods for multilingual unsupervised keyphrase extraction -- An Approach Utilizing Linguistic Features for Fake News Detection -- CEA-TM: A Customer Experience Analysis framework based on Contextual-aware Topic Modeling approach -- Machine Learning Meets Natural Language Processing - The story so far -- SemAI: A Novel Approach for Achieving Enhanced Semantic Interoperability in Public Policies -- Recommendation Systems -- Optimization of Multi-Stakeholder Recommender Systems for Diversity and Coverage -- Recommending Database Architectures For Social Queries: A Twitter Case Study -- Science4Fashion: An Autonomous Recommendation System for Fashion Designers -- Sentiment Analysis -- A two-step optimised BERT-based NLP algorithm for extracting sentiment from financial news -- Learning Sentiment-aware Trading Strategies for Bitcoin leveraging Deep Learning-based Financial News Analysis -- Smart Blockchain Applications/ Cybersecurity -- Federated Blockchained Supply Chain Management: A CyberSecurity and Privacy Framework -- Validation and Verification for Data Marketplaces.

This book constitutes the refereed proceedings of the 17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021, held virtually and in Hersonissos, Crete, Greece, in June 2021. The 50 full papers and 11 short papers presented were carefully reviewed and selected from 113 submissions. They cover a broad range of topics related to technical, legal, and ethical aspects of artificial intelligence systems and their applications and are organized in the following sections: adaptive modeling/ neuroscience; AI in biomedical applications; AI impacts/ big data; automated machine learning; autonomous agents; clustering; convolutional NN; data mining/ word counts; deep learning; fuzzy modeling; hyperdimensional computing; Internet of Things/ Internet of energy; machine learning; multi-agent systems; natural language; recommendation systems; sentiment analysis; and smart blockchain applications/ cybersecurity. Chapter “Improving the Flexibility of Production Scheduling in Flat Steel Production Through Standard and AI-based Approaches: Challenges and Perspective” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

ISBN: 9783030791506

Standard No.: 10.1007/978-3-030-79150-6doiSubjects--Topical Terms:

670819
Image Processing and Computer Vision.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Artificial Intelligence Applications and Innovations = 17th IFIP WG 12.5 International Conference, AIAI 2021, Hersonissos, Crete, Greece, June 25–27, 2021, Proceedings /
LDR:08654nam a22004095i 4500 001 1055811
003 DE-He213
005 20210927192142.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030791506 $9 978-3-030-79150-6
024 7 $a 10.1007/978-3-030-79150-6 $2 doi
035 $a 978-3-030-79150-6
050 4 $a Q334-342
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Artificial Intelligence Applications and Innovations $h [electronic resource] : $b 17th IFIP WG 12.5 International Conference, AIAI 2021, Hersonissos, Crete, Greece, June 25–27, 2021, Proceedings / $c edited by Ilias Maglogiannis, John Macintyre, Lazaros Iliadis.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XXXIII, 795 p. 284 illus., 223 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a IFIP Advances in Information and Communication Technology, $x 1868-422X ; $v 627
505 0 $a Adaptive Modeling, Neuroscience -- ‘If Only I Would Have Done That...’: A Controlled Adaptive Network Model for Learning by Counterfactual Thinking -- A Computational Model for the Second-Order Adaptive Causal Relationships between Anxiety, Stress and Physical Exercise -- AI in Biomedical Applications -- ebioMelDB: Multi-modal database for melanoma and its application on estimating patient prognosis -- Improved Biomedical Entity Recognition via longer context modelling -- Scalable NPairLoss-based Deep-ECG for ECG Verification -- A Comparative Study of Embedded Feature Selection Methods on Microarray data -- AI Impacts/Big Data -- The AI4Media project: Use of Next-generation Artificial Intelligence Technologies for Media Sector Applications -- Regression Predictive Model to analyze Big Data Analytics in Supply Chain Management -- Automated Machine Learning -- An Automated Machine Learning Approach for Predicting Chemical Laboratory Material Consumption -- An Ontology-Based Concept for Meta AutoML -- Object Migration Automata for Non-Equal Partitioning Problems with Known Partition Sizes -- Autonomous Agents -- Enhanced Security Framework for Enabling Facial Recognition in Autonomous Shuttles Public Transportation during COVID-19 -- Evaluating Task-General Resilience Mechanisms in a Multi-Robot Team Task -- Clustering -- A Multi-View Clustering Approach for Analysis of Streaming Data -- Efficient Approaches for Density-Based Spatial Clustering of Applications with Noise -- Self-organizing maps for optimized robotic trajectory planning applied to surface coating -- Convolutional Neural Networks -- An autoencoder convolutional neural network framework for Sarcopenia detection based on multi-frame ultrasound image slices -- Automatic Classification of XCT Images in Manufacturing -- Cross-lingual Approaches for Task-specific Dialogue ActRecognition -- Just-in-time Biomass Yield Estimation with Multi-Modal Data and Variable Patch Training Size -- Robustness testing of AI systems: A case study for traffic sign recognition -- Data Mining/ Word Counts -- BIBLIOBICLUSTER: A bicluster algorithm for Bibliometrics -- Topic identification via human interpretation of word clouds: The case of Instagram hashtags -- Deep Learning -- A Comparative Study of Deep Learning Techniques for Financial Indices Prediction -- An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering -- Collaborative Edge-Cloud Computing for Personalized Fall Detection -- Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection -- Neural Network Compression Through Shunt Connections and Knowledge Distillation for Semantic Segmentation Problems -- System-wide anomaly detection of industrial control systems via deep learning and correlation analysis -- Verification of Size Invariance in DNN Activations using Concept Embeddings -- Artificial Intelligence in Music Composition -- Deep Learning and AI for Optimization in 5G Technology -- Fuzzy Modeling -- Intuitionistic Fuzzy Neural Network for Time Series Forecasting - The Case of Metal Prices -- Hyperdimensional Computing -- PQ-HDC: Projection-based Quantization Scheme for Flexible and Efficient Hyperdimensional Computing -- Hyperdimensional Computing with Learnable Projection for User Adaptation Framework -- Internet of Things/Internet of Energy -- ”SAVE” – an Integrated Approach of Personal and Home Safety for Active Assisted Living -- BEMS in the Era of Internet of Energy: A Review -- Machine Learning -- A Survey of Methods for Detection and Correction of Noisy Labels in Time Series Data -- An automated tool to support an intelligence learner management system using Learning Analytics and Machine Learning -- Classification of Point Clouds with Neural Networks and Continuum-Type Memories -- Cyber Supply Chain Threat Analysis and Prediction using Machine Learning and Ontology -- Intelligent Techniques and Hybrid Systems Experiments Using the Acumen Modeling and Simulation Environment -- Predicting CO2 Emissions for Buildings Using Regression and Classification -- Robust Pose Estimation Based on Maximum Correntropy Criterion -- The Generative Adversarial Random Neural Network -- Using Machine Learning Methods to Predict Subscriber Churn of a Web-based Drug Information Platform -- Analysis and Prediction for House Sales Price Using a Hybrid Machine Learning Approach -- Multi Agent Systems -- Dynamic Plume Tracking Utilizing Symbiotic Heterogeneous Remote Sensing Platforms -- Improving the flexibility of production scheduling in flat steel production through standard and AI-based approaches: challenges and perspectives -- Natural Language -- A comparative assessment of state-of-the-art methods for multilingual unsupervised keyphrase extraction -- An Approach Utilizing Linguistic Features for Fake News Detection -- CEA-TM: A Customer Experience Analysis framework based on Contextual-aware Topic Modeling approach -- Machine Learning Meets Natural Language Processing - The story so far -- SemAI: A Novel Approach for Achieving Enhanced Semantic Interoperability in Public Policies -- Recommendation Systems -- Optimization of Multi-Stakeholder Recommender Systems for Diversity and Coverage -- Recommending Database Architectures For Social Queries: A Twitter Case Study -- Science4Fashion: An Autonomous Recommendation System for Fashion Designers -- Sentiment Analysis -- A two-step optimised BERT-based NLP algorithm for extracting sentiment from financial news -- Learning Sentiment-aware Trading Strategies for Bitcoin leveraging Deep Learning-based Financial News Analysis -- Smart Blockchain Applications/ Cybersecurity -- Federated Blockchained Supply Chain Management: A CyberSecurity and Privacy Framework -- Validation and Verification for Data Marketplaces.
520 $a This book constitutes the refereed proceedings of the 17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021, held virtually and in Hersonissos, Crete, Greece, in June 2021. The 50 full papers and 11 short papers presented were carefully reviewed and selected from 113 submissions. They cover a broad range of topics related to technical, legal, and ethical aspects of artificial intelligence systems and their applications and are organized in the following sections: adaptive modeling/ neuroscience; AI in biomedical applications; AI impacts/ big data; automated machine learning; autonomous agents; clustering; convolutional NN; data mining/ word counts; deep learning; fuzzy modeling; hyperdimensional computing; Internet of Things/ Internet of energy; machine learning; multi-agent systems; natural language; recommendation systems; sentiment analysis; and smart blockchain applications/ cybersecurity. Chapter “Improving the Flexibility of Production Scheduling in Flat Steel Production Through Standard and AI-based Approaches: Challenges and Perspective” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
650 2 4 $a Image Processing and Computer Vision. $3 670819
650 2 4 $a Database Management. $3 669820
650 2 4 $a Computer Communication Networks. $3 669310
650 2 4 $a Information Systems Applications (incl. Internet). $3 881699
650 1 4 $a Artificial Intelligence. $3 646849
650 0 $a Optical data processing. $3 639187
650 0 $a Database management. $3 557799
650 0 $a Computer communication systems. $3 1115394
650 0 $a Application software. $3 528147
650 0 $a Artificial intelligence. $3 559380
700 1 $a Iliadis, Lazaros. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 815965
700 1 $a Macintyre, John. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1226838
700 1 $a Maglogiannis, Ilias. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 815993
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030791490
776 0 8 $i Printed edition: $z 9783030791513
776 0 8 $i Printed edition: $z 9783030791520
830 0 $a IFIP Advances in Information and Communication Technology, $x 1868-4238 ; $v 449 $3 1255091
856 4 0 $u https://doi.org/10.1007/978-3-030-79150-6
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)