Artificial Intelligence Applications and Innovations
Springer International Publishing (Verlag)
978-3-030-79149-0 (ISBN)
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 SystemsEx
| Erscheinungsdatum | 20.06.2021 |
|---|---|
| Reihe/Serie | IFIP Advances in Information and Communication Technology |
| Zusatzinfo | XXXIII, 795 p. 284 illus., 223 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1351 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | Applications • Artificial Intelligence • Computational Linguistics • Computer Networks • Computer Science • conference proceedings • Databases • Data Mining • Image Processing • Informatics • Information Retrieval • Internet • machine learning • Network Protocols • Neural networks • Research • Robotics • Semantics • Signal Processing • Software engineering • Telecommunication networks • User Interfaces |
| ISBN-10 | 3-030-79149-1 / 3030791491 |
| ISBN-13 | 978-3-030-79149-0 / 9783030791490 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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