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Artificial Intelligence Applications and Innovations: 17th IFIP WG 12.5 International Conference, AIAI 2021, Hersonissos, Crete, Greece, June 2527, 2021, Proceedings 2021 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 795 pages, kõrgus x laius: 235x155 mm, kaal: 1252 g, 223 Illustrations, color; 61 Illustrations, black and white; XXXIII, 795 p. 284 illus., 223 illus. in color., 1 Paperback / softback
  • Sari: IFIP Advances in Information and Communication Technology 627
  • Ilmumisaeg: 20-Jun-2022
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030791521
  • ISBN-13: 9783030791520
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  • Formaat: Paperback / softback, 795 pages, kõrgus x laius: 235x155 mm, kaal: 1252 g, 223 Illustrations, color; 61 Illustrations, black and white; XXXIII, 795 p. 284 illus., 223 illus. in color., 1 Paperback / softback
  • Sari: IFIP Advances in Information and Communication Technology 627
  • Ilmumisaeg: 20-Jun-2022
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030791521
  • ISBN-13: 9783030791520
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.
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
5GTechnology.- 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 SystemsExperiments
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 Modelingapproach.- 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.