Description
"This book constitutes the refereed proceedings of the 37th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems on Advances and Trends in Artificial Intelligence, IEA/AIE 2024, held in Hradec Kralove, Czech Republic, in July 10–12, 2024.
The 38 full papers and 3 short papers presented were carefully reviewed and selected from 79 submissions. The papers focus on the following topics: Computer vision, Cyber security, Data mining, E-applications, Machine learning, Neural networks, Optimization and Various applications. "
Table of Contents
.- Computer Vision.
.- Boundary-Focused Semantic Segmentation for Limited Wafer Transmission Electron Microscope Images.
.- A Robust Component-based Template Matching Approach using Document Layout Graph for Extracting Information.
.- Classifying Endangered Species in High-Risk Areas using Deep Learning.
.- Super-Resolution Methods for Wafer Transmission Electron Microscopy Images.
.- Cyber Security.
.- Sandbox Environment for Offensive and Defensive Training in Smart Metering.
.- Training Scenario for Security Testing of the Kerberos Protocol.
.- HERMES DXP: an approach to military and non-military cyber threat intelligence sharing.
.- Classification of datasets used in data anonymization for IoT environment.
.- Utilization of Artificial Intelligence for the SIEM Logging Architecture Design in the Context of Smart City.
.- Data Mining.
.- Work in Progress Prediction for Business Processes Using Temporal Convolutional Networks.
.- Explainable Machine Learning for Intrusion Detection.
.- Enhancing False-Sentence Pairs of BERT-pair for Low-Frequency Aspect Category Detection.
.- e-Applications.
.- A method for Integrating of Knowledge model and Functional component and Application in Intelligent Problems Solver.
.- A Comparative Study of Transfer Learning on CNN-based Models for Fault and Anomaly Detection in Industrial Processes.
.- A Computer Vision Based Approach for Energy-Efficient Air Conditioner Control.
.- Verifying Autoencoders for Anomaly Detection in Predictive Maintenance.
.- Fog-Based Ransomware Detection for Internet of Medical Things Using Lighweight Machine Learning Algorithms.
.- Machine Learning.
.- Live Product Line Engineering Using Density-Based Clustering of CAD Models.
.- Evaluation Techniques for Long Short-Term Memory Models: Overfitting Analysis and Handling Missing Values.
.- Representation and Generation of Music: Incorporating Composers’ Perspectives into Deep Learning Models.
.- CAUSAL DEEP Q NETWORK.
.- Bench Marking Tensor-based Imputation Techniques on Astronomical Imagery Data.
.- A Novel Multi-Task Single-Step Traffic Congestion Forecasting Framework for Large-Scale Road Networks.
.- Neural Networks.
.- PPG-based Heart Rate Estimation Using Unsupervised Domain Adaptation.
.- Formal Verification of Neural Networks: A ``Step Zero'' Approach for Vehicle Detection.
.- Weightless Neural Networks Based on Multi-valued Probabilistic Logic for Node for the Handwritten Classification.
.- Deep Residual Networks for Pigmented Skin Lesions Diagnosis.
.- Parallel Implementation of a Convolutional Neural Network on an MPSoC.
.- Optimization.
.- Time Heals Unfairness: Efficient Dynamic Routing at an Autonomous Society.
.- Learning Causality under Uncertainty for Egocentric Action Anticipation.
.- Simulation Optimization of Operating Room Schedules for Elective Surgeries.
.- Towards Eco-Friendly Multi-Compartment Transportation: A New Bi-Objective Iterated Local Search Framework.
.- Accelerating Recurrent Neural Network Controllers Using Levenberg–Marquardt and Forward Accumulation Through Time in Closed-loop Control Systems with Parallel Computing and Weight Dropout Techniques.
.- A Novel Instance Generator for Benchmarking the Job Shop Scheduling Problem.
.- Various Applications.
.- Hybrid Additive Manufacturing: A Convergence of Physical, Digital, and Social Realms Driven by Generative AI.
.- Reconsidering Stochastic Policy Gradient Methods for Traffic Signal Control.
.- Improving Noise Robustness of Automatic Speech Recognition based on a Parallel Adapter Model with Near-Identity Initialization.
.- A sparse binary data clustering method for transaction data.
.- Silver Surfer: Navigating the Parametric Protein Space with Genetic Algorithms.
.- Knowledge-based Monitoring for Checking Law and Regulation Compliance.
.- Exploring Simpson's Paradox Through the Lens of Fuzzy Causal Inference.
