Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices : 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, Kuala Lumpur, Malaysia, July 26-29, 2021, Proceedings, Part I / edited by Hamido Fujita, Ali Selamat, Jerry Chun-Wei Lin, Moonis Ali.

Format:

Book

Contributor:

Fujita, Hamido, Editor.

Selamat, Ali, Editor.

Lin, Jerry Chun-Wei, Editor.

Ali, Moonis, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 12798

Lecture Notes in Artificial Intelligence ; 12798

Language:

English

Subjects (All):

Artificial intelligence.

Computer engineering.

Computer networks.

Artificial Intelligence.

Computer Engineering and Networks.

Local Subjects:

Artificial Intelligence.

Computer Engineering and Networks.

Physical Description:

1 online resource (XX, 636 pages) : 308 illustrations, 199 illustrations in color.

Edition:

1st ed. 2021.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

System Details:

text file PDF

Summary:

This two-volume set of LNAI 12798 and 12799 constitutes the thoroughly refereed proceedings of the 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, held virtually and in Kuala Lumpur, Malaysia, in July 2021. The 87 full papers and 19 short papers presented were carefully reviewed and selected from 145 submissions. The IEA/AIE 2021 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include the following: Part I, Artificial Intelligence Practices: Knowledge discovery and pattern mining; artificial intelligence and machine learning; sematic, topology, and ontology models; medical and health-related applications; graphic and social network analysis; signal and bioinformatics processing; evolutionary computation; attack security; natural language and text processing; fuzzy inference and theory; and sensor and communication networks Part II, From Theory to Practice: Prediction and recommendation; data management, clustering and classification; robotics; knowledge based and decision support systems; multimedia applications; innovative applications of intelligent systems; CPS and industrial applications; defect, anomaly and intrusion detection; financial and supply chain applications; Bayesian networks; BigData and time series processing; and information retrieval and relation extraction.

Contents:

Knowledge Discovery and Pattern Mining

Fast Mining of Top-k Frequent Balanced Association Rules

Towards Increasing Open Data Adoption through Stream Data Integration and Imputation

Towards Efficient Discovery of Periodic-Frequent Patterns in Columnar Temporal Databases

Data-Driven Simulation of Ride-Hailing Services using Imitation and Reinforcement Learning

Discovering Spatial High Utility Itemsets in High-Dimensional Spatiotemporal Databases

A Single-Stage Tree-Structure-Based Approach to Determine Fuzzy Average-Utility Itemsets

Mining Episode Rules From Event Sequences Under Non-Overlapping Frequency

Distributed mining of high utility time interval sequential patterns with multiple minimum utility thresholds

Artificial Intelligence and Machine Learning

Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing

Comparison of Consolidation Methods for Predictive Learning of Time Series

Evolutionary Optimization of Convolutional Neural Network Architecture Design for Thoracic X-Ray Image Classification

Understanding the Effects of Mitigation on De-identified Data

Combining Siamese Network and Correlation Filter for Complementary Object Tracking

Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines

Explainable Reinforcement Learning with the Tsetlin Machine

Sematic, Topology, and Ontology Models

Semantic Technologies towards Missing Values Imputation

An Improved Integer Programming Formulation for Inferring Chemical Compounds with Prescribed Topological Structures

Automatic Classification for Ontology Generation by Pretrained Language Model

Deep Learning Architecture for Topological Optimized Mechanical Design Generation with Complex Shape Criterion

Computational Ontology and BIM Technology in Data-Driven Indoor Route Planning

Collaborative Maintenance of EDOAL Alignments in VocBench

DIKG2: a Semantic Data Integration Approach for Knowledge Graphs Generation from Web Forms

Ontology-based Resume Searching System for Job Applicants in Information Technology

An Approach to Expressing Metamodels' Semantics in a Concept System

Medical and Health-Related Applications

Birth-death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications

Intelligent Asthma Self-Management System for Personalised Weather-based Healthcare using Machine Learning

Deep Forecasting of COVID-19: Canadian Case Study

COVID-19 Genome Analysis using Alignment-Free Methods

Deep Efficient Neural Networks for Explainable COVID-19 detection on CXR Images

Predicting Psychological Distress from Ecological Factors: A Machine Learning Approach

Graphic and Social Network Analysis

Configuration model of employee competences in a social media team

The Extended Graph Generalization as a Representation of the Metamodels' Extensional Layer

WawPart: Workload-Aware Partitioning of Knowledge Graphs

Analysis of Sentimental Behaviour over Social Data Using Machine Learning Algorithms

Signal and Bioinformatic Processing

A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts

Determining 2-Optimality Consensus for DNA structure

Evolutionary Computation

Utilizing Center-Based Sampling Theory to Enhance Particle Swarm Classification of Textual Data

Conditional Preference Networks: Refining Solution Orderings beyond Pareto Dominance

Enhancing Multi-Objective Evolutionary Neural Architecture Search with Surrogate Models and Potential Point-Guided Local Searches

Insightful and Practical Multi-Objective Convolutional Neural Network Architecture Search with Evolutionary Algorithms

Method for Automatic Furniture Placement Based on Simulated Annealing and Genetic Algorithm

Attack and Security

Recent Research on Phishing Detection through Machine Learning Algorithm

A Transaction Classification Model of Federated Learning

On the Assessment of Robustness of Telemedicine Applications against Adversarial Machine Learning Attacks

A 1D-CNN Based Deep Learning for Detecting VSI-DDoS Attacks in IoT Applications

Natural Language and Text Processing

Hierarchical Transformer Encoders for Vietnamese Spelling Correction

Fast and Memory-efficient TFIDF Calculation for Text Analysis of Large Datasets

Collapsed Gibbs Sampling of Beta-Liouville Multinomial for Short Text Clustering

Constructive and Toxic Speech Detection for Open-domain Social Media Comments in Vietnamese

Fuzzy Inference and Theory

The behaviour of the product t-norm in combination with several implications in Fuzzy PID controller

Hub and Spoke Logistics Network Design for Urban Region with Clustering-Based Approach

Sensor and Communication Networks

Smartphone Sensor-Based Fall Detection using Machine Learning Algorithms

IPR-SN: Intelligent Packet Routing in Satellite Networks Based on Distributed Deep Reinforcement Learning.

Other Format:

Printed edition:

ISBN:

978-3-030-79457-6

9783030794576

Access Restriction:

Restricted for use by site license.