Applied Computer Sciences in Engineering

.- 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.