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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 / edited by Hamido Fujita, Richard Cimler, Andres Hernandez-Matamoros, Moonis Ali

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Artificial Intelligence ; 14748Publisher: Singapore : Springer Nature Singapore, 2024Publisher: Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024Description: 1 Online-Ressource(XXI, 518 p. 166 illus., 135 illus. in color.)ISBN:
  • 9789819746774
Subject(s): Additional physical formats: 9789819746767 | 9789819746781 | Erscheint auch als: 9789819746767 Druck-Ausgabe | Erscheint auch als: 9789819746781 Druck-AusgabeDDC classification:
  • 006.3 23
DOI: DOI: 10.1007/978-981-97-4677-4Online resources: Summary: -- 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.Summary: "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. " .PPN: PPN: 1895377439Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-LNC
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