artificial-neural-networks

Documents about artificial-neural-networks

• Emergence of Fibrations, Compression, and Symmetry Breaking in Artificial Neural Networks#822195arXiv (All)
• TreeFI: Value-Aware Statistical Fault Injection for Deep Neural Networks#971570arXiv (All)
• Explainable artificial intelligence for intrusion detection in IoT networks: A deep learning based approach#200902OpenAlex
• Echo state graph neural networks with analogue random resistive memory arrays#203229OpenAlex
• Integrated Algorithm and Hardware Design for Hybrid Neuromorphic Systems#372549Scholar Commons
• Dermatologist-level classification of skin cancer with deep neural networks#6461OpenAlex
• Applying Acoustic Signals to Monitor Hybrid Electrical Discharge-Turning with Artificial Neural Networks#307748Figshare
• ELMo: The Dawn of Contextual Intelligence#20901DataCite
• ELMo: The Dawn of Contextual Intelligence#20902DataCite
• Introducing Artificial Neural Networks in the Physics Laboratory: A Compound Pendulum Case Study#155549arXiv (OAI)
• Intrinsic stabilization of synaptic plasticity improves learning and robustness in artificial neural networks.#165542NCBI PubMed Central
• Towards Foundation Models for Relational Databases with Language Models and Graph Neural Networks#192406arXiv CS
• High-resolution non-destructive evaluation of defects using artificial neural networks and wavelets#278163The Learning Edge
• Adaptive Hard-Soft Physics-Informed Neural Networks for Robust Boundary-Constrained PDE Solving#299987arXiv CS
• Diagnosis of chronic liver disease from liver scintiscans by artificial neural networks#383836CiNii
• Review of Meta-Heuristic Optimization based Artificial Neural Networks and its Applications#440180Semantic Scholar
• Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs#478184CiNii
• Characterising cardiac tissue properties with graph neural networks#616476arXiv (OAI Expanded)
• Characterising cardiac tissue properties with graph neural networks#616976arXiv (All)
• Are the High-weight Neurons the Important Ones in Image Classification Neural Networks?#674499arXiv (OAI Expanded)
• Are the High-weight Neurons the Important Ones in Image Classification Neural Networks?#677700arXiv (All)
• The Optimization-Based Cognitive Philosophy: Neural Networks as the Unified Substrate of Artificial and Biological Consciousness#695223PhilArchive
• Perturbing the Phase: Analyzing Adversarial Robustness of Complex-Valued Neural Networks#1014608arXiv (All)
• Development and Evolution of Neural Networks in an Artificial Chemistry#639112arXiv (OAI Expanded)
• Affine Parameter Estimation for Medical Image Registration Using Neural Networks#356897DigitalCommons@CalPoly
• Generating Adversarial Examples with Adversarial Networks#199604OpenAlex
• Ollivier-Ricci Curvature of Riemannian Manifolds and Directed Graphs with Applications to Graph Neural Networks#668499arXiv (OAI Expanded)
• Ollivier-Ricci Curvature of Riemannian Manifolds and Directed Graphs with Applications to Graph Neural Networks#670564arXiv (All)
• Utilization of Basic Multi-Layer Perceptron Artificial Neural Networks to Resolve Turbulent Fine Structure Chemical Kinetics Applied to a CFD Model of a Methane/Air Piloted Jet Flame#932448Journal of Thermal Engineering
• Artificial intelligence application in lymphoma diagnosis with Vision Transformer using weakly supervised training#14050arXiv CS
• Learning Structure, Energy, and Dynamics: A Survey of Artificial Intelligence for Protein Dynamics#141512arXiv CS
• Why Geometric Continuity Emerges in Deep Neural Networks: Residual Connections and Rotational Symmetry Breaking#158567arXiv CS
• NeuroTrain: Surveying Local Learning Rules for Spiking Neural Networks with an Open Benchmarking Framework#187353arXiv CS
• Intrusion detection for cloud computing using neural networks and artificial bee colony optimization algorithm#422132Semantic Scholar
• Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks#478102CiNii
• Evaluating Graph Neural Networks for Change-Criticality Classification in Maritime Navigation Charts#921133arXiv (OAI Expanded)
• Evaluating Graph Neural Networks for Change-Criticality Classification in Maritime Navigation Charts#925369arXiv (All)
• A Computer vision based model for tomato plant nutrient and disease classification#956214SU+ Digital Repository
• Hyperedge Anomaly Detection with Hypergraph Neural Network#971674arXiv (All)
• Investigating Trade-offs in Utility, Fairness and Differential Privacy in Neural Networks#972355arXiv (All)
• DeepNcode: Encoding-Based Protection against Bit-Flip Attacks on Neural Networks#972362arXiv (All)
• Hierarchical Prototype Emergence in Modern Hopfield Models#1000052arXiv (All)
• Sinc Kolmogorov-Arnold Network and Its Applications on Physics-informed Neural Networks#179083arXiv (OAI)
• Strength Prediction of High-Strength Concrete by Fuzzy Logic and Artificial Neural Networks#1027311İzmir Yüksek Teknoloji Enstitüsü
• Predicting Early Stages Of Alzheimer's Disease And Identifying Key Biomarkers Using Deep Artificial Neural Network And Ensemble Of Machine Learning Methodologies#332548arXiv CS
• Modeling of asphalt-rubber rotational viscosity by statistical analysis and neural networks#630659Lume 5.8
• Semi-Supervised Classification with Graph Convolutional Networks#7014OpenAlex
• A Survey on the Optimization of Artificial Neural Networks Using Swarm Intelligence Algorithms#19718Semantic Scholar
• Artificial Neural Networks in MPPT Algorithms for Optimization of Photovoltaic Power Systems: A Review#19732Semantic Scholar
• Optimization and Prediction of Ibuprofen Release from 3D DLP Printlets Using Artificial Neural Networks#219920Semantic Scholar