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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 /

"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...

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محفوظ في:
التفاصيل البيبلوغرافية
مؤلف مشترك: SpringerLink (Online service)
مؤلفون آخرون: Fujita, Hamido (المحرر), Cimler, Richard (المحرر), Hernandez-Matamoros, Andres (المحرر), Ali, Moonis (المحرر)
التنسيق: الكتروني كتاب الكتروني
اللغة:الإنجليزية
منشور في: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
الطبعة:1st ed. 2024.
سلاسل:Lecture Notes in Artificial Intelligence, 14748
الموضوعات:
Artificial intelligence.
Artificial Intelligence.
الوصول للمادة أونلاين:https://doi.org/10.1007/978-981-97-4677-4
الوسوم: إضافة وسم
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جدول المحتويات:
  • -- 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.

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