11th Workshop on Engineering Applications, WEA 2024, Barranquilla, Colombia, October 23-25, 2024, Proceedings, Part I Herausgegeben:Figueroa-García, Juan Carlos; Hernández, German; Suero Pérez, Diego Fernando; Gaona García, Elvis Eduardo
11th Workshop on Engineering Applications, WEA 2024, Barranquilla, Colombia, October 23-25, 2024, Proceedings, Part I Herausgegeben:Figueroa-García, Juan Carlos; Hernández, German; Suero Pérez, Diego Fernando; Gaona García, Elvis Eduardo
The two-volume set CCIS 2222 + 2223 constitutes the proceedings of the 11th Workshop on Engineering Applications, WEA 2024, which took place in Barranquilla, Colombia, during October 23-25, 2024. The 42 full papers presented here were carefully reviewed and selected from 97 submissions. The papers are organized in the following topical sections: Part I - Artificial Intelligence. Part II - Optimization; Simulation; Applications.
The two-volume set CCIS 2222 + 2223 constitutes the proceedings of the 11th Workshop on Engineering Applications, WEA 2024, which took place in Barranquilla, Colombia, during October 23-25, 2024.
The 42 full papers presented here were carefully reviewed and selected from 97 submissions. The papers are organized in the following topical sections:
Part I - Artificial Intelligence.
Part II - Optimization; Simulation; Applications.
Produktdetails
Produktdetails
Communications in Computer and Information Science 2222
.- Artificial Intelligence. .- Zero-Shot Spam Email Classification Using Pre-trained Large Language Models. .- Automatic Recognition System for Public Transport Robberies Based on Deep Learning. .- Reinforcement Learning Model applied In A Pair Trading Strategy. .- Neural networks informed by physics applied to solving an optimal investment-consumption problem. .- Deep Learning-based object detection of relevant morphological traits for enhancing automatic classification of freshwater macroinvertebrates. .- Deep Tracking Portfolios using Autoencoders and Variational Autoencoders. .- On the use of a foundation acoustic model to identify highly relevant phonetic information of Parkinson's speech. .- Improvement in the Management of Potable Water Distribution Using Data Science for the Detection and Correction of Errors in Operational Measurement Systems. .- Wrist Motion Pattern Recognition from EMG Signal Processing Using Machine Learning and Neural Networks. .- Skin Disease Pre-diagnosis with Novel Visual Transformers. .- Enhancing the Diagnostic Accuracy of Diabetes and Prediabetes with Neural Network-Based Area Under the Curve Analysis of OGTT Data. .- Improving Energy Management in Artificial Pancreas using an Event-trigger MPC Strategy. .- Advancements in AI-Driven Emotion Recognition: A Study on CNN and DMD Methodologies. .- Control of a buck converter using arti cial neural network NARMA-L2 controller. .- Design of a crime prediction model for Barranquilla using Machine Learning algorithms. .- A smart mobile mapping application for the evaluation of road infrastructure in urban and rural corridors. .- Analysis of variables related to criminal violence and public insecurity in the city of Barranquilla, Colombia, using crispy methodology and python programming language. .- Comparison of Motor Imagery and Motor Execution Networks Using the Phase Lag Index. .- Compare computer visions algorithms for estimate 6Dof cameras pose. .- Digital Twin framework proposal based uncertainty management models optimisation and interactive design. .- Data-driven Demand Localization for Effective Disaster Response.
.- Artificial Intelligence. .- Zero-Shot Spam Email Classification Using Pre-trained Large Language Models. .- Automatic Recognition System for Public Transport Robberies Based on Deep Learning. .- Reinforcement Learning Model applied In A Pair Trading Strategy. .- Neural networks informed by physics applied to solving an optimal investment-consumption problem. .- Deep Learning-based object detection of relevant morphological traits for enhancing automatic classification of freshwater macroinvertebrates. .- Deep Tracking Portfolios using Autoencoders and Variational Autoencoders. .- On the use of a foundation acoustic model to identify highly relevant phonetic information of Parkinson's speech. .- Improvement in the Management of Potable Water Distribution Using Data Science for the Detection and Correction of Errors in Operational Measurement Systems. .- Wrist Motion Pattern Recognition from EMG Signal Processing Using Machine Learning and Neural Networks. .- Skin Disease Pre-diagnosis with Novel Visual Transformers. .- Enhancing the Diagnostic Accuracy of Diabetes and Prediabetes with Neural Network-Based Area Under the Curve Analysis of OGTT Data. .- Improving Energy Management in Artificial Pancreas using an Event-trigger MPC Strategy. .- Advancements in AI-Driven Emotion Recognition: A Study on CNN and DMD Methodologies. .- Control of a buck converter using arti cial neural network NARMA-L2 controller. .- Design of a crime prediction model for Barranquilla using Machine Learning algorithms. .- A smart mobile mapping application for the evaluation of road infrastructure in urban and rural corridors. .- Analysis of variables related to criminal violence and public insecurity in the city of Barranquilla, Colombia, using crispy methodology and python programming language. .- Comparison of Motor Imagery and Motor Execution Networks Using the Phase Lag Index. .- Compare computer visions algorithms for estimate 6Dof cameras pose. .- Digital Twin framework proposal based uncertainty management models optimisation and interactive design. .- Data-driven Demand Localization for Effective Disaster Response.
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