El. knyga: Advances and Trends in Artificial Intelligence. Theory and Applications: 37th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2024, Hradec Kralove, Czech Republic, July 10-12, 2024, Proceedings

.- 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.