-- 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.

"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. " .