artificial-neural-networks

Documents about artificial-neural-networks

• Estimativa da produção hidrelétrica por meio de redes neurais artificiais#219471Repositório Institucional Unesp
• Pushing High-Performance Private Inference Towards Resource-Constrained Edge Clients#416010ODU Digital Commons
• Predicting Neuromuscular Recovery in Surgical Patients Using Machine Learning#981027ClinicalTrials.gov
• Graph-based precedent case recommendation with statute-aware representations for Turkish jurisprudence#295535OpenMETU
• Prediction of bank transaction fraud using TabNet—an adaptive deep learning architecture#20073DOAJ
• When LAMOST meets Gaia DR3 Exploring the metallicity of open clusters#328118SUNScholar
• More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD)#986193arXiv (All)
• Prediction of wind turbines power with physics-informed neural networks and evidential uncertainty quantification#260671Spiral
• Simplicity-based language modeling using artificial neural networks#304494HAL (France)
• MA-GatedGNN: Code and Reproducibility Materials for Mask-Aware Traffic Forecasting under Sensor Missingness#380000Figshare
• Data Set for Curiosity Search: Producing Generalists by Encouraging Individuals to Continually Explore and Acquire Skills Throughout Their Lifetime#456529Wyoming Data Repository Dataverse OAI Archive
• A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions#200894OpenAlex
• Evaluation of thymic lymphocyte loss of broiler using digital analysis of the Lymphoid Depletion System (ADDL)#274991Lume 5.8
• Automated segmentation of hepatic vessels and lobules in whole-slide images using U-net models#314627edoc-Server
• The design and optimization of a chitosan-based lamotrigine-loaded intranasal mucoadhesive nanomicelle solution using response surface methodology and artificial neural networks#609493Figshare
• Automatic detection of teeth and dental treatment patterns on dental panoramic radiographs using deep neural networks#654929S-Space: Seoul National University
• A Three-Dimensional Multiscale Finite Element Framework for Nonlinear Composite Materials Based on Deep Learning#983561eScholarship
• Artificial Intelligence Algorithms for the Detection of Pathologies Related to Lung Cancer through Image Analysis using Convolutional Neural Networks and Data Augmentation: a systematic mapping of the literature#997649arXiv (All)
• Discrete Pascal-Pyramid Topologies for Autonomous Reasoning Architectures#1055936Zenodo (CERN)
• “Why Should I Trust Your IDS?”: An Explainable Deep Learning Framework for Intrusion Detection Systems in Internet of Things Networks#199729OpenAlex
• Harnessing the power of machine and deep learning for transferring joint species distribution models considering the structure of biotic interactions#315052HAL (France)
• Application of Machine Learning for Modeling Process Analytical Technology Data in Advanced Pharmaceutical Manufacturing of Oral Dosage Forms#410131RUcore, Rutgers University Community Repository
• metabolomics dataset manuscript "Combining untargeted profiling of phenolics and sterols, supervised multivariate class modelling and Artificial Neural Networks for the origin and authenticity of extra-virgin olive oil: a case study on Taggiasca Ligure"#937355Università Cattolica del Sacro Cuore
• Temporal Generalization and Explanation Stability of Control Flow Graph Neural Networks for Malware Detection#1050461arXiv (All)
• Inteligência artificial aplicada ao fluxo de carga continuado na estimativa das perdas totais de potência ativa e reativa#680302Repositório Institucional Unesp
• Untrained Position-Encoded Multilayer Perceptron Network for Structured Illumination Microscopy Reconstruction#483474ODU Digital Commons
• Comprehensive framework for evaluation of deep neural networks in detection and quantification of lymphoma from PET/CT images: clinical insights, pitfalls, and observer agreement analyses#623178arXiv (OAI Expanded)
• Comprehensive framework for evaluation of deep neural networks in detection and quantification of lymphoma from PET/CT images: clinical insights, pitfalls, and observer agreement analyses#625451arXiv (All)
• ICON Decomposition: Auditing Deep Neural Networks with Multivariate Variance-based Concept-level Explanations#808981arXiv (OAI Expanded)
• ICON Decomposition: Auditing Deep Neural Networks with Multivariate Variance-based Concept-level Explanations#818973arXiv (All)
• Physics-Informed Neural Networks for Fast Multilayer Spectral Inversion of Hα 6562.8 A and Ca II 8542.1 A Spectra#1011732arXiv (All)
• Modelling of urological dysfunctions with neurological etiology by means of their centres involved#177994Lund University Publications
• Artificial Neural Networks for Optimizing Alumina Al_<b>2</b>O_<b>3</b> Particle and Droplet Behavior in 12kK Ar-H_<b>2</b> Atmospheric Plasma Spraying#208720HAL (France)
• Tumor feature visualization with unsupervised learning#492850Bielefeld Pub
• Accelerating the prediction of strain-rate effect for carbon/epoxy composites using constitutive Artificial Neural Networks (CANNs) / Sanghyun Yoo, Ijaz Aslamsha, Dipankul Bhattacharya, Julia Kowalski, Nathalie Toso, Heinz Voggenreiter#780332Deutsche Nationalbibliothek
• Bridging the Gap Between Network Science and Network Systems to Identify and Mitigate Cyber Risk: Identify and Mitigate Backdoor Attacks on Graph Neural Networks and on Complex Systems#169445ODU Digital Commons
• Ocena i prognoza wpływu biowęglii z osadów ściekowych na ograniczenie emisji ditlenku węgla z gleb rolniczych#206510Politechnika Lubelska
• Holistic DRAM enhancements: From intrinsic in-memory operations to robust security mechanisms#424372Digital Commons @ NJIT
• Dataset on the application of machine learning to assess the quality of food products. Case study: coffee bean#647367RepOD Dataverse OAI Archive
• From graphs to qubits: a critical review of quantum graph neural networks#680860Springer Nature OA
• Drgan, V.; Župerl, Š.; Vračko, M.; Como, F.; Novič, M. Robust modelling of acute toxicity towards fathead minnow (Pimephales promelas) using counter-propagation artificial neural networks and genetic algorithm. SAR QSAR Environ. Res. 2016, 27, 501–519.#933135QsarDB
• Estimation of conductivity in hydraulic affluents through self-organizing maps (SOM)#428482Repositorio Universidad Distrital
• Definition of new parameters to develop an improved predictive model for urban heat island spatial distribution#462597University of Nottingham Repository
• Contribution à la fiabilisation d’une intelligence artificielle embarquée dédiée au traitement d’image en environnement radiatif spatial#284221HAL (France)
• Modeling Complex Metabolic Reactions, Ecological Systems, and Financial and Legal Networks with MIANN Models Based on Markov-Wiener Node Descriptors#679193OpenAlex
• Artificial Neural Networks in Pattern Recognition : 12th IAPR TC3 Workshop, ANNPR 2026, Milan, Italy, October 7–9, 2026, Proceedings / edited by Giovanna Maria Dimitri, Sinem Aslan, Stefano Montanelli, Mirco Ravanelli, Cem Subakan, Edmondo Trentin#1037743Deutsche Nationalbibliothek
• Uncertainty-aware maintenance scheduling in water distribution networks via ensemble neural forecasting and explainable confidence indexing#680859Springer Nature OA
• Effect of Heat flux and Mass flux on the Heat Transfer Characteristics of Supercritical Carbon Dioxide for a Vertically Downward Flow Using Computational Fluid Dynamics and Artificial Neural Networks#940341Journal of Thermal Engineering
• Evaluation of radiological features for breast tumour classification in clinical screening with machine learning methods#492891Bielefeld Pub
• Query Dual Dynamics Delta: Read-Driven Modulation of Delta-Rule Writes in Fixed-Capacity Fast-Weight Memory#780684Figshare