Optimization, Learning Algorithms and Applications (eBook, PDF)

Third International Conference, OL2A 2023, Ponta Delgada, Portugal, September 27-29, 2023, Revised Selected Papers, Part II
Redaktion: Pereira, Ana I.; Lima, José; Coelho, João P.; Pacheco, Maria F.; Fernandes, Florbela P.; Mendes, Armando

• Format: PDF

Produktbeschreibung

This two-volume set CCIS 1981 and 1982 constitutes the refereed post-conference proceedings of the Third International Conference on Optimization, Learning Algorithms and Applications, OL2A 2023, held in Ponta Delgada, Portugal, in September 2023.

The 66 revised full papers presented in these proceedings were carefully reviewed and selected from 162 submissions. The papers are organized in the following topical sections:

Volume I:

Machine learning; learning algorithms in engineering education; machine learning and data analysis in internet of things; optimization; optimization in the SDG context.

Volume II:

Computer vision based on learning algorithms; machine learning and AI in robotics; optimization in control systems design.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 385
• Erscheinungstermin: 2. Februar 2024
• Englisch
• ISBN-13: 9783031530364
• Artikelnr.: 69909358

Inhaltsangabe

Computer Vision Based on Learning Algorithms.- Assessing the Reliability of AI-based Angle Detection for Shoulder and Elbow Rehabilitation.- Movement Pattern Recognition in Boxing Using Raw Inertial Measurements.- An Evaluation of Image Preprocessing in Skin Lesions Detection.- Pest Detection in Olive Groves Using YOLOv7 and YOLOv8 Models.- An Artificial Intelligence-Based Method to Identify the Stage of Maturation in Olive Oil Mills.- Enhancing Forest Fire Detection and Monitoring through Satellite Image Recognition: A Comparative Analysis of Classification Algorithms Using Sentinel-2 Data.- Assessing the 3D Position of a Car with a Single 2D Camera using Siamese Networks.- Deep Learning-based Hip Detection in Pelvic Radiographs.- Using LiDAR Data as Image for AI to Recognize Objects in the Mobile Robot Operational Environment.- Adaptive Convolutional Neural Network for Predicting Steering Angle and Acceleration on Autonomous Driving Scenario.- Deep Learning-Based Classification and Quantification of Emulsion Droplets: A YOLOv7 Approach.- Identification of Late Blight in Potato Leaves using Image Processing and Machine Learning.- Machine Learning and AI in Robotics.- Deep Learning-Based Localization Approach for Autonomous Robots in the RobotAtFactory 4.0 Competition.- Deep Learning and Machine Learning Techniques Applied to Speaker Identification on Small Datasets.- Impact of EMG Signal Filters on Machine Learning Model Training: A Comparison with Clustering on Raw Signal.- Fault Classification of Wind Turbine: A Comparison of Hyperparameter Optimization Methods.- Realistic Model Parameter Optimization: Shadow Robot Dexterous Hand Use - Case.- Performance of Heuristics for Classifying Leftovers from Cutting Stock Problem.- Optimization in Control Systems Design.- On Strong Anti-Learning of Parity.- Sub-system Integrationand Health Dashboard for Autonomous Mobile Robots.- Optimization Models for Hydrokinetic Energy Generated Downstream of Hydropower Plants.- Vehicle Industry Big Data Analysis using Clustering Approaches.- Multi-Objective Optimal Sizing of an AC/DC Grid Connected Microgrid System.- Deep Conditional Measure Quantization.- ECG and sEMG Conditioning and Wireless Transmission with a Biosignal Acquisition Board.- An Efficient GPU Parallelization of the Jaya Optimization Algorithm and Its Application for Solving Large Systems of Nonlinear Equations.