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

Häftad, Engelska, 2024

Av Hamido Fujita, Richard Cimler, Andres Hernandez-Matamoros, Moonis Ali

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"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. "

Produktinformation

Utgivningsdatum2024-07-10
Mått155 x 235 x 29 mm
Vikt809 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Artificial Intelligence
Antal sidor518
FörlagSpringer Verlag, Singapore
ISBN9789819746767

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.- 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.