artificial-neural-networks

Documents about artificial-neural-networks

• Data-driven climatic zoning and future trend forecasting in Chad using artificial neural networks.#305415NCBI PubMed Central
• Optimizing Discrete Hopfield Neural Networks Using Major Random 1,3-Satisfiability And Hybrid Artificial Bee Colony#352752USM Repository
• Pre-harvest mango yield prediction using artificial neural networks based on leaf nutrient variability.#358267NCBI PubMed Central
• On the Applicability of Safety Nets: A Safety-By-Design Solution for Certifying Neural Networks#471289arXiv CS
• Simulation of human memory processes using a system of Artificial Neural Networks (ANNs)#488861SJSU ScholarWorks
• Learn the Solid, Not the File: Canonical Inputs for Neural Networks on CAD Boundary Representations#673559arXiv CS
• Towards Provable and Scalable Training of Quantized Neural Networks with Ising Optimization#809240arXiv (OAI Expanded)
• Towards Provable and Scalable Training of Quantized Neural Networks with Ising Optimization#819232arXiv (All)
• Applications of 0-1 Neural Networks in Prescription and Prediction#920163arXiv (OAI Expanded)
• Applications of 0-1 Neural Networks in Prescription and Prediction#924394arXiv (All)
• LevelSyn: Physical-Aware Logic Synthesis via Level-Asynchronous Graph Neural Networks#926498arXiv (All)
• Detection of Unknown Radar Pulses Using Spiking Neural Networks#971290HAL (France)
• Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher#974116arXiv (All)
• A Theoretical Analysis of Provable Compositional Generalization in Neural Networks: A Necessary and Sufficient Condition#984854arXiv (All)
• Teacher Geometry Shapes Learnability in Teacher-Student Networks#987328arXiv (All)
• A generalized feedforward neural network architecture and its training using two stochastic search methods#483731Research Online
• Artificial Neural Networks and Machine Learning – ICANN 2025 : 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9–12, 2025, Proceedings, Part III / edited by Walter Senn, Marcello Sanguineti, Ausra Saudargiene, Igor V. Tetko, Alessandro E. P. Villa, Viktor Jirsa, Yoshua Bengio#623866Deutsche Nationalbibliothek
• Identification of Philippine herbal medicine plant leaf using artificial neural network#356317Animo Repository
• Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next#199531OpenAlex
• You Can’t Spell Audit Without AI: The Current Uses of Artificial Intelligence in Audit#277797Scholars Crossing
• Sequence to Sequence Learning with Neural Networks#6462OpenAlex
• smart task#27620DataCite
• smart task#27621DataCite
• SciANN: A Keras/TensorFlow wrapper for scientific computations and physics-informed deep learning using artificial neural networks#303001Semantic Scholar
• Predicting short-term mobile Internet traffic from Internet activity using recurrent neural networks#329722DORAS
• Intelligent prediction of thermodynamic performance in MHD Oldroyd B trihybrid nanofluids using artificial neural networks.#404374NCBI PubMed Central
• Unraveling the Size Determination Mechanism of Nanocrystal Synthesis via Interpretable Neural Networks#609167arXiv (OAI Expanded)
• Optimized machine learning and artificial neural networks for NIRS-based prediction of mango internal quality.#610342NCBI PubMed Central
• Sparse Prototype Code Underlies Classification and Prediction Across Modalities#616283arXiv (OAI Expanded)
• Sparse Prototype Code Underlies Classification and Prediction Across Modalities#616783arXiv (All)
• Rep Smarter, Not Harder: AI Hypertrophy Coaching with Wearable Sensors and Edge Neural Networks#664106arXiv (OAI Expanded)
• Rep Smarter, Not Harder: AI Hypertrophy Coaching with Wearable Sensors and Edge Neural Networks#665606arXiv (All)
• Texture Image Classification Using DWT AlexNet Feature Fusion and Deep Neural Networks#788525arXiv (OAI Expanded)
• Texture Image Classification Using DWT AlexNet Feature Fusion and Deep Neural Networks#792525arXiv (All)
• The evolution of sex for artificial intelligence: a population-genetic framework for multigenerational model populations#965445arXiv CS
• ExpTest: Loss-Curve Hypothesis Testing for Autonomous Learning-Rate Selection in Deep Neural Networks#997935arXiv (All)
• Artificial Neural Networks and Machine Learning – ICANN 2026 : 35th International Conference on Artificial Neural Networks, Padua, Italy, September 14–17, 2026, Proceedings, Part III / edited by Luca Pasa, Alessandra Lintas, Igor V. Tetko, Alessio Micheli, Nicolò Navarin, Alessandro E. P. Villa, Domenico Tortorella, Mirko Polato#970191Deutsche Nationalbibliothek
• Artificial Intelligence: Its Development, Contemporary Importance, and Challenges#27490Zenodo (CERN)
• Multiscale Thermodynamics-Informed Neural Networks (MuTINN) for nonlinear computations of CNT-coated fuzzy fiber composites accounting for viscoplasticity and interfacial damage.#1000644HAL (France)
• Visualizing and Understanding Convolutional Networks#6432OpenAlex
• NetworkNet: A Deep Neural Network Approach for Random Networks with Sparse Nodal Attributes and Complex Nodal Heterogeneity#10396arXiv CS
• Raman analysis of black carbon using artificial neural networks for emission source classification#140159Unpaywall
• A Lower Bound for the Number of Linear Regions of Ternary ReLU Regression Neural Networks#173331arXiv (OAI)
• Bridging Neural Networks and Wireless Systems with MIMO-OFDM Semantic Communications#177035arXiv (OAI)
• On the utility and effects of efficiency in artificial neural networks#206113ISTA Publications
• Reconstruction of Reionization Histories from 21 cm Power-Spectrum Evolution with Artificial Neural Networks#650862arXiv (OAI Expanded)
• Reconstruction of Reionization Histories from 21 cm Power-Spectrum Evolution with Artificial Neural Networks#652315arXiv (All)
• A Hybrid Predictive Ensemble of Machine Learning and Deep Neural Networks for Early Cardiovascular Disease Risk Assessment#972094arXiv (All)
• EssentialGIN: a new approach for gene essentiality prediction based on graph isomorphism neural networks#1014735arXiv (All)
• An Efficient Deep-Learning-Based Detection and Classification System for Cyber-Attacks in IoT Communication Networks#200915OpenAlex