19th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2024

19th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2024

Salamanca, Spain, October 9-11, 2024 Proceedings, Volume 1

Jove, Esteban; Martinez Alvarez, Francisco; Herrero Cosio, Alvaro; Calvo Rolle, Jose Luis; Quintian, Hector; Martinez de Pison, Francisco Javier; Garcia Bringas, Pablo; Perez Garcia, Hilde; Corchado, Emilio; Troncoso Lora, Alicia

Springer International Publishing AG

11/2024

328

Mole

9783031750120

15 a 20 dias

Descrição não disponível.
.- Part I Deep Learning and Neural Networks.



.- Chapter 1 Human detection in images captured by UAVs in natural environments.



.- Chapter 2 Interpretation of Diabetic Foot Ulcer Image Classification using Layer Attribution Algorithms.



.- Chapter 3 Improving the Efficiency of Production Processes by Reducing Human Errors Using Intelligent Methods.



.- Chapter 4 Automated semantic labelling of images generated with deep diffusion probabilistic models.



.- Part II Machine Learnig and Data Mining.



.- Chapter 5 Wastewater Quality Indicator Estimation Using Machine Learning and Data Augmentation Techniques.



.- Chapter 6 A Virtual Avatar for Sign Language Signing.



.- Chapter 7 Comparison of D-Wave quantum computing environment solvers for a two-machine jobs scheduling problem.



.- Chapter 8 Hybrid Fuzzy-Based Method for Optimally Selecting Aircraft for Low-Cost Carriers Operating Medium-Haul Flights.



.- Chapter 9 Two Way Ranging positioning methods analysis under optimized sensor deployments, etc.
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Soft Computing;Soft Computing Models ;Industrial and Environmental Applications;SOCO;SOCO24;Intelligent systems;Soft computing industrial applications;Evolutionary computing;Neuro computing;Probabilistic computing;Immunological computing;Causal Models;Case-based reasoning;Chaos theory fuzzy computing; intelligent agents and agent theory;Interactive computational models;Rough sets and granular computing