Advances and Trends in Artificial Intelligence. From Theory to Practice

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

Inhalt

Prediction and Recommendation.- F2DeepRS: A Deep Recommendation Framework Applied to ICRC Platforms.- A Novel Rule-based Online Judge Recommender System to Promote Computer Programming Education.- Using Machine Learning to Predict Salaries of Major League Baseball Players.- Efficient Prediction of Discharge and Water Levels Using Ensemble Learning and Singular-Spectrum Analysis-based Denoising.- An Efficient Transformer-based Model for Vietnamese Punctuation Prediction.- Study of Hybridized Support Vector Regression Based Flood Susceptibility Mapping for Bangladesh.- A Fusion Approach for Paper Submission Recommendation System.- One-class Classification Approach using Feature-slide Prediction Subtask for Feature Data.- Data Management, Clustering and Classification.- A Novel Approach for Enhancing Vietnamese Sentiment Classification.- Consistency Assessment of Datasets in the Context of a Problem Domain.- Effects of Performance Clustering in User Modelling for Learning Style Knowledge Representation.- A Novel Perspective of Text Classification by Prolog-based Deductive Databases.- Improving Human Emotion Recognition from Emotive Videos using Geometric Data Augmentation.- Applying Method of Automatic Classification Tools to Make Effective Organizing of Photos Taken in Childcare Facilities.- Land Use/Land Cover Change Analysis Due to Tourism in the Chittagong Hill Tracts of Bangladesh.- Robotics.- Estimation Method for Operational Environment Complexity by a Robotic Team.- A Cloud-based Robot Framework for Indoor Object Identification using Unsupervised Segmentation Technique and Convolution Neural Network (CNN).- Knowledge Based and Decision Support Systems.- The Concept of Information Graphs as a Tool to Identify Vulnerabilities in the Information Map of an Organization.- A Learning-Automata Based Solution for Non-Equal Partitioning: Partitions with Common GCD Sizes.- Building a Knowledge Graph with Inference for a Production Machine Using the Web of Things Standard.- Open-World Knowledge Graph Completion Benchmarks for Knowledge Discovery.- A Case-based Reasoning Approach for a Decision Support System in Manufacturing.- Online Automatic Assessment System for Program Code: Architecture and Experiences.- A Multi-Criteria Group Decision Making Procedure Based on a Multi-Granular Linguistic Approach for Changeable Scenarios.- Multimedia Applications.- Edge Based Method for Kidney Segmentation in MRI Scans.- Using the HAAR Wavelet Transform and K-nearest Neighbour Algorithm to Improve ECG Detection and Classification of Arrhythmia.- Query by Humming for Song Identification using Voice Isolation.- IMAGE-2-AQI: Aware of the Surrounding Air Qualification by a Few Images.- Advances in Sports Video Summarization - A Review based on Cricket Videos.- Augmented Audio Data in Improving Speech Emotion Classification Tasks.- Innovative Applications of Intelligent Systems.- Intelligent System of Mooring Planning based on Deep Q-learning.- Experimental Study on Predictive Modeling in the Gamification Marketing Application.- Pivot Point Based Intelligent System to Associate Creative Textual Artefacts.- Mood Support: A Personalized Intelligent Support Assignment System using an Agent-based Dynamic Configuration Model.- Continuous Build Outcome Prediction: A Small-N Experiment in Settings of a Real Software Project.- Jaskier: A Supporting Software Tool for Continuous Build Outcome Prediction Practice.- CPS and Industrial Applications.- Automated Diagnosis of Cyber-Physical Systems.- Quick Start And Adaptive New Server Monitor.- Map-matching based on HMM for Urban Traffic.- The Choice of AI Matters: Alternative Machine Learning Approaches for CPS Anomalies.- On-demand Knowledge Graphs for Standards-based Power Grid Data Provisioning.- Defect, Anomaly and Intrusion Detection.- Intrusion Detection Algorithm Based On SDA-ELM.- Explaining Defect Detection with Saliency Maps.- d-BTAI: the Dynamic-Binary Tree Based Anomaly Identification Algorithm for Industrial Systems.- Identifying Anomaly Work in Intralogistics Using BLE and LPWA.- Financial and Supply Chain Applications.- Impact Analysis of Proactive and Reactive Inventory Disruption Management on Supply Chain Performance.- A ML-based Stock Trading Model for Profit Predication.- Machine Learning-Based Empirical Investigation For Credit Scoring In Vietnam's Banking.- Bayesian Networks.- Unsupervised Co-training of Bayesian Networks for Condition Prediction.- BigData and Time Series Processing.- Implementation of Neural Network Regression Model for Faster Redshift Analysis on Cloud-based Spark Platform.- Target Class Supervised Sample Length and Training Sample Reduction of Univariate Time Series.- Information Retrieval and Relation Extraction.- Improving Relation Extraction via Joint Coding using BiLSTM and DCNN.- A Possible Worlds Interpretation of Many-Sorted Theory for IR.