"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 1012, 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. "

Inhalt

.- 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 LevenbergMarquardt 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.