Advances in Soft Computing

.- Machine Learning.
.- Spatially Distributed Learning.
.- Predicting Substance Addiction in University Students: A DSM-5-Guided Machine Learning Model..
.- Anomaly detection in ultrasound tomography images using Convolutional Neural Networks.
.- Prompt Assisted Enhancement for Correcting Illumination Artifacts in Endoscopic Images.
.- Mel-Spectrogram Reconstruction from Video Lip Sequences using an Autoencoder Architecture.
.- Comparison of nonlinear and linear data-driven Takagi-Sugeno models of a bioreactor.
.- Water Quality Classification via Cost-Efficient Machine Learning: A Case Study in Nuevo Le´on.
.- Water Quality Assessment with Machine Learning Techniques in Jalisco, Mexico.
.- MNIST Dataset Classification via Multiview Topological Data Analysis.
.- Classification of generalized anxiety through life history strategies with Random Forest and explainable machine learning.
.- From Anamnesis to Algorithm: A Clinical Framework for the Design of Artificial Intelligence Focused on Medical Workflow.
.- Natural Language Processing.
.- A symbolic algorithm for the unification of Nawatl word spellings.
.- On the application of natural language processing tools to the Ramirez Codex.
.- Financial News Summarization: Can extractive methods still offer a true alternative to LLMs?.
.- Applying Natural Language Processing to Short Medical Notes from Mexican Health Units to Detect Suicidal Behaviours.
.- Empowering ESG Insights in Vietnamese through Fine-Tuned Language Models.
.- Toward Bias-Aware and Efficient Offensive Language Detection using QLoRA-Optimized LLaMA and GPT Models.
.- Pragmatic Generalization in LLMs: Insights from Fine-Tuning and Evaluating on Multilingual Sarcasm.
.- WISE: A Machine Learning-Based Tool for Analyzing Heroin and Fentanyl Withdrawal Experiences on Social Media.
.- Sarcasm Detection in Roman Urdu Text: A Comprehensive Study Using Machine Learning and Large Language Model.
.- Think Twice Before Deciding: A Two-Stage Method for Sexism Detection on Social Media.
.- Automatic synthetic data selection for highly unbalanced multi-class and multi-label Obstetric Violence Classification.
.- Multi-document Update Text Summarization Based on Sentence Features Focus on Requirements.
.- A Multi-Stage Pipeline for Reliable LLM-based Robotic Task Planningusing Schema-Aligned Parsing and Knowledge Base Grounding.
.- Tec-Habilidad: Skill Classification for Bridging Education and Employment.
.- Synthetic Data Generation for Pur´epecha Machine Translation using LLMs.
.- Pre-Trained Models for Grammatical Error Correction in Healthcare-Specific Text.
.- Neural Networks.
.- Relational Inductive Bias Behind Convolutional and Attention Neural Layers.
.- Scholar dropout analysis in Technological Universities Subsystem using neural network-based models: UT-X case.
.- Deep Learning Speech Recognition for Industrial Noise Enviroments.
.- Estimation of urban fractal dimension using a Convolutional Neural Network.
.- Terrain Classification-based Dynamic Trajectory Tracking Controller for Mobile Robots.