Intro -- Title Page -- Preface -- About the Conference -- Contents -- Machine Learning and Deep Learning Applications -- Enhancing Seawater Reverse Osmosis Desalination Efficiency Using Digital Twins and Machine Learning -- Unsupervised Pairwise Causal Discovery on Heterogeneous Data Using Mutual Information Measures -- SynthRetina: Revolutionizing Fundus Image Analysis Through Synthetic Data Enhancement -- Optimizing Energy Consumption of Kubernetes Clusters with Deep Reinforcement Learning -- Predictive Maintenance in the Food Industry: A Case Study Using Vibration Sensors and Machine Learning Techniques -- Characterization of Synthetic Lung Nodules in Conditional Latent Diffusion of Chest CT Scans -- Temporal-Invariant Segmentation of Multiple Sclerosis Lesions Using Generative Models -- Detection of Epileptic Seizures with EEG Sequential Patterns -- Impact of Maternal Nutrition on Neonatal Birthweight: A Machine Learning Study -- Generative Models for Data Augmentation on Inertial Measurement Units Data Classification -- Weakly Supervised Localization of Mammograms for Dense Breast Tissues -- Fuzzy Logic-Based Variable Encoding for Improved Diabetic Retinopathy Prediction -- Unsupervised Deep Learning Architectures for Anomaly Detection in Brain MRI Scans -- Enhanced Crack Segmentation Network: Leveraging Multi-Dimensional Attention -- Machine Learning for Particle Identification in LHCb -- Checking Robustness of Neural Network Models for the Classification of Malware -- Learning Brain-Storming with Multiagent Multi-Armed Bandits -- Multiclass Lesion Detection Using Longitudinal MRI in Multiple Sclerosis -- Automatic Catalan Keyword Spotting Database Generator -- Open Source Cardiac Digital Twinning of Human Ventricular Repolarisation from 12-Lead ECG and MRI.