artificial-neural-networks

Documents about artificial-neural-networks

• Approche hybride combinant graphes de connaissances biomédicauxhétéromodaux et réseaux de neurones explicables.Application à la prédiction de cibles thérapeutiques associées à la résistance dans le cancer#156052HAL (France)
• Análise e modelagem das emissões instantâneas de co2 em veículos de combustão interna por meio de dados OBD-II e redes neurais artificiais#483591Repositório Institucional da UFPB
• MaxGRNet: A Multi-Axis Vision Transformer with Improved Generalization for Eye Disease Classification Using Explainable AI with Insertion-Deletion Operations on Fundus Images#190276ODU Digital Commons
• Surrogate optimization of deep neural networks for groundwater predictions#620091eScholarship
• Additional file 1 of Deep learning-based segmentation of abdominal aortic aneurysm: a systematic review and meta-analysis of performance and clinical applicability#652510Figshare
• Machine Learning Techniques for Pile-Up Rejection in Cryogenic Calorimeters#970696eScholarship
• End-to-End Large Portfolio Optimization for Variance Minimization with Neural Networks through Covariance Cleaning#155606arXiv (OAI)
• Processamento digital de imagens para identificação da sigatoka negra em bananais utilizando análise de componentes principais e redes neurais artificiais#439756Repositório Institucional Unesp
• The Credit Realization Law: Exact Memory Limits and Minimal Trace Architectures for Online Recurrent Learning#478437Figshare
• Identifying atmospheric rivers and their poleward latent heat transport with generalizable neural networks: ARCNNv1#983468eScholarship
• Research on the application potential and synergistic effects of quantum computing in the field of artificial intelligence: Integrative analysis centered on quantum machine learning (VQC/QNN)#397823Zenodo (CERN)
• DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classification#1065587eScholarship
• ON THE ACCURACY OF REACTIVE-TRANSPORT MODELS FOR LARGE EDDY SIMULATIONS OF HIGH SPEED FLOWS#686261OpenMETU
• SURROGATE MODELING OF AERODYNAMIC SURFACES USING GEOMETRIC DEEP LEARNING#191277OpenMETU
• Fast low energy reconstruction using Convolutional Neural Networks#1038654eScholarship
• Accelerating electron diffraction analysis using graph neural networks and attention mechanisms#624294eScholarship
• A Design Methodology Incorporating a Sound Insulation Prediction Model, Life Cycle Assessment (LCA), and Thermal Insulation: A Comparative Study of Various Cross-Laminated Timber (CLT) and Ribbed CLT-Based Floor Assemblies#1000592HAL (France)
• DEEP LEARNING-BASED PHASE DETECTION USING STRONG MOTION DATA#355172OpenMETU