Optimization, Learning Algorithms and Applications

Third International Conference, OL2A 2023, Ponta Delgada, Portugal, September 27–29, 2023, Revised Selected Papers, Part I

AvAna I. Pereira,Armando Mendes

Häftad, Engelska, 2024

Del i serien Communications in Computer and Information Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2024-02-01
Mått:155 x 235 x 34 mm
Vikt:943 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:609
Förlag:Springer International Publishing AG
ISBN:9783031530241

Utforska kategorier

Optimering inom Naturvetenskap och teknik
Programvaruutveckling inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

Machine Learning.- A YOLO-based Insect Detection: Potential use of Small Multirrotor UAV Monitoring.- A Comparison of Fiducial Markers Pose Estimation for UAVs Indoor Precision Landing.- Effect of Weather Conditions and Transactions Records on Work Accidents in the Retail Sector – a Case Study.- Exploring Features to Classify Occupational Accidents in the Retail Sector.- Resource Dispatch Optimization for Firefighting using a Differential Evolution Algorithm.- A Pattern Mining Heuristic for the Extension of Multi-trip Vehicle Routing.- Time-dependency of Guided Local Search to Solve the Capacitated Vehicle Routing Problem with Time Windows.- Federated Learning for Credit Scoring Model using Blockchain.- PhishVision: a Deep Learning based Visual Brand Impersonation Detector for Identifying Phishing Attacks.- Call Centre Optimization based on Personalized Requests Distribution.- AquaVitae: Innovating Personalized Meal Recommendations for Enhanced Nutritional Health.- Barriers to Organizations to Adopt Digital Transformation for Driving Eco-Innovation and Sustainable Performance.- Interpretable Structural Analysis for Evolutionary Generative Design of Coastal Breakwaters.- An Example of Ontology in Medical Diagnosis: A Case Study.- Text Chunking To Improve Websites Classification.- Automatic Speech Recognition for Portuguese: A Comparative Study.- Comparative Analysis of Windows for Speech Emotion Recognition using CNN.- Exploring the Role of OR/MS in Cancer Research.- On the Use of VGs for Feature Selection in Supervised Machine Learning - A Use Case to Detect Distributed DoS Attacks.- Learning Algorithms in Engineering Education.- Accuracy Optimization in Speech Pathology Diagnosis with Data Preprocessing Techniques.- Application of Pattern Recognition Techniques for MathE Questions Difficulty Level Definition.- Machine Learning and DataAnalysis in Internet of Things.- Predicting Flood Events with Streaming Data: A Preliminary Approach with GRU and ARIMA.- Digital Twin for Regional Water Consumption Simulation and Forecasting.- Automatic Fall Detection with Thermal Camera.- Image Transfer over MQTT in IoT: Message Segmentation and Encryption for Remote Indicator Panels.- Optimization.- An Extension of a Dynamic Heuristic Solution for Solving a Multi-Objective Optimization Problem in the Defense Industry.- BHO-MA: Bayesian Hyperparameter Optimization with Multi-objective Acquisition.- Prediction of Health of Corals Mussismilia Hispida based on the Microorganisms Present in their Microbiome.- The Consistent Vehicle Routing Problem: an Application to the Pharmaceutical Supply Chain.- Using OR-Tools when Solving the Nurse Scheduling Problem.- Predicting the Solution Time for Optimization Problems Using Machine Learning Case of Job Shop Scheduling Problem.- Optimization in the SDG Context.- Schedule Modeling in a Fire Station: a Linear Approach to Optimize Service and Human Resources.- Help us to Help: Improving Non-urgent Transport on a Portuguese Fire Station.- Location of an Electric Vehicle Charging Station: Demographic Factor as Decision Making.- Speeding up the Oscillation-free Modified Heavy Ball Algorithm.- Performance Comparison of NSGA-II and NSGA-III on Bi-objective Job Shop Scheduling Problems.- A Multiobjective Tuning of a Procedural Content Generator for Game Level Design via Evolutionary Algorithms.- Optimal Location of Electric Vehicle Charging Stations in Distribution Grids using Genetic Algorithms.- Nonlinear Regression on Growth Curves for Placental Parameters in R.- GLM’s in Data Science as a Tool in the Prediction of Delirium.