"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.