Engineering Applications of Neural Networks

Deep Learning.- Active Learning with Aggregated Uncertainties from Image AugmentationsAn Approach to Predict Optimal Configurations for LDA-based Topic Modeling.- An Autoencoder-based approach for Anomaly Detection of Machining Processes using Acoustic Emission signals.- An EANN-Based Recommender System for Drug RecommendationAutomation of the error-prone PAM-4 sequence discovery for the purpose of high-speed serial receiver testing using reinforcement learning methods.- Binary Black Hole Parameter Estimation from Gravitational Waves with Deep Learning MethodsComparative Analysis of Large Language Models in Structured Information Extraction from Job Postings.- Comparative study between Q-NAS and traditional CNNs for Brain Tumor classification.- Deep Echo State Networks for modelling of industrial systems.- Empirical Insights into Deep Learning Models for Misinformation Classification within Constrained Data EnvironmentEnhancing Bandwidth Efficiency for Video Motion Transfer Applications using Deep Learning Based Keypoint Prediction.- Enhancing Natural Language Query to SQL Query Generation through  Classification-Based Table SelectionExploiting LMM-based knowledge for image classification tasks.- HEADS: Hybrid Ensemble Anomaly Detection System for Internet-of-Things NetworksHEDL-IDS2: An Innovative Hybrid Ensemble Deep Learning Prototype for Cyber Intrusion DetectionIntelligent framework for monitoring student emotions during online learning.- Leveraging Diverse Data Sources for Enhanced Prediction of Severe Weather-Related Disruptions Across Different Time Horizons.- Machine Learning-Based Detection and Classification of Neurodevelopmental Disorders from Speech Patterns.- Neural SDE-based Epistemic Uncertainty Quantification in Deep Neural Networks.- Robust Traffic Prediction using Probabilistic Spatio-temporal Graph Convolutional Network.- Support Vector Based Anomaly Detection in Federated LearningTowards Digitisation of Technical