Optimization, Learning Algorithms and Applications

Optimization, Learning Algorithms and Applications portes grátis

Optimization, Learning Algorithms and Applications

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

Fernandes, Florbela P.; Pacheco, Maria F.; Coelho, Joao P.; Mendes, Armando; Pereira, Ana I.; Lima, Jose

Springer International Publishing AG

02/2024

609

Mole

Inglês

9783031530241

15 a 20 dias

Descrição não disponível.
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.
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artificial intelligence;classification;computer networks;computer systems;computer vision;correlation analysis;deep learning;Human-Computer Interaction (HCI);image processing;learning;machine learning;applied computing;network protocols;data analysis;signal processing;software design;software engineering;collaborative and social computing;modeling and simulation;computer graphics