Neural networks.
概要
| 作品: | 338 作品在 0 項出版品 0 種語言 | |
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書目資訊
Feed Forward Neural Network Approach for Diagnosing the Faulty Functioning in Digital Circuits.
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Fault Diagnosis for Wind Turbine Systems by Using Neural Network and Deep Learning Techniques.
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Adversarial Machine Learning in Computer Vision: Attacks and Defenses on Machine Learning Models.
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Discovering Biophysical Principles in Latent Space Representations of Immune Recognition.
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Dimensional Metrology and Thermo-Fluid Studies on Additively Manufactured Transpiration Cooling Structures.
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System Design and Fabrication Using Monolithic 3d Integration of Heterogeneous Technologies.
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Modeling Multivariate Time-Series Variables in Healthcare Using Deep Learning Methods.
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Robust Design in Game Theory: Bayesian Optimization Approach to Minimax Problems with Equilibrium Constraints.
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Design and Power Consumption Scalability of an Autonomous Electric Robo-Car Using Different Adaptive Cruise Control Models.
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Enhanced Meta-Heuristic Algorithm with Application to Automatic Generation Control System.
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Prediction of Tensile Behaviors of L-Ded 316 Stainless Steel Parts Using Machine Learning.
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Machine Vision Methods for Evaluating Plant Stand Count and Weed Classification Using Open-Source Platforms.
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Determining the Factors Associated with Improved Outcomes in Patients with Spinal Cord Injury.
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Atomic-Resolution in situ and operando Visualization of Oxygen Transfer Reactions over CeO2-Supported Pt Catalysts.
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Adaptive AI Algorithms for Generic Hardware & Unified Hardware Acceleration Architecture.
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Machine Learning Based Simulation and Control Framework for Power Distribution Systems with Transactive Elements.
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Predicting, Engineering and Interpreting Gene Regulatory Sequences and Proteins with Deep Learning.
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Hyperspectral Image Analysis Using Limited Data = = Hyperspektrale Bildanalyse mit begrenzten Daten.
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Internet of Things (IoT) Anomaly Detection Using Machine Learning Techniques: Parameter Optimization and Algorithm Comparison.
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PHEV Power Management Optimization Using Trajectory Forecasting Based Machine Learning.
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A Deep Learning Based Approach to Sketch Recognition and Model Transformation for Requirements Elicitation and Modelling.
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Machine Learning Enabled Network-on-Chip Design for Low-Power, High-Performance, and Flexible Manycore Architectures.
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Traffic Fatality Rate Prediction Based on Deep Neural Network and Bayesian Neural Network.
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Optimal Transport Methods for Causal Inference, Multisample Testing, and Model Interpretation.
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Mathematical Optimization Algorithms for Model Compression and Adversarial Learning in Deep Neural Networks.
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Training Deep Neural Networks and Solving Differential Equations Using Neuromorphic Photonics.
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Insights into Chemical Reactions at Interfaces from Enhanced Sampling and Global Optimization Algorithms.
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Natural Language Processing for Computing the Influence of Language on Perception and Behavior.
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Towards Semantic Representations of Tissue Organization from High-Parameter Imaging Data.
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Monte Carlo Planning and Reinforcement Learning for Large Scale Sequential Decision Problems.
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Improve Entrepreneurial Funding Screening and Evaluation: Business Success Prediction with Machine Learning.
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UAV Trajectory and Radio Resource Optimization for Cached UAV Wireless Networks: Data Driven Learning Approach.
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Crisis Transmitting Effects Detection and Early Warning Systems Development for China's Financial Markets.
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Realistic Real-Time Rendering of Global Illumination and Hair Through Machine Learning Precomputations.
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Enabling Machine Learning Tasks in Wearable Cyber-Physical Systems Through Uncertainty Quantification and Signal Processing.
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Machine Learning for Coherent Structure Identification and Super Resolution in Turbulent Flows.
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Leveraging Multi-Source Remote Sensing Images and Deep Learning to Map Caribou Lichens.
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Intelligent Energy-Efficient Drones: Path Planning, Real-Time Monitoring and Decision-Making.
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Artificial Intelligence and Machine Learning for Control and Operation of Electric Vehicles and Machine Drives.
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Generalized Hate Speech Detection on Social Media = = איתור תכני שנאה ברשתות חברתיות.
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Language Making in Classrooms with Emergent Bi/Multilingual Children : = Recognizing Additional Ways of Engaging.
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Statistical Arbitrage in Momentum and Pairs Trading by Machine Learning Models and Copulas.
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Studies on the Use of Machine Learning Algorithms for Analysis and Design of Materials at Multiple Length Scales.
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The Use of Artificial Intelligence Algorithms to Improve the Safety of Unmanned Aerial Vehicles.
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Self-Assembled Three-Dimensional Nanoelectronics Systems with Neuromorphic Network Architectures.
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Investigating Machine Vision Dataset Quality for Near-Real Time Detection and Tracking on Unmanned Aerial Vehicles.
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Macromodeling Nonlinear Circuits Using Proper Orthogonal Decomposition and Artificial Neural Networks.
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Data-Efficient Methods for Model Learning and Control in Robotics = = Efektivni Metody pro Uceni Modelu a Rizeni v Robotice.
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An Investigation Into Exchange Rate Dynamics, Adjustment Mechanisms and Monetary Policy.
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Seismic Risk Management of Complex Road Networks : = Optimization Methods and Integration of Community Impact Metrics.
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Verification and Validation of Machine Learning Safety in Learning-Enabled Autonomous Systems.
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Development of a Behavior-Based Analysis Framework for Promoting RPV Deployment in Singapore.
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Applying Machine Learning Algorithms in the Design and Manufacturing Process of Bioinspired Architectured Materials.
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Analyzing the Multidimensionality of Aging by Using Machine Learning to Predict Age from Diverse Medical Datasets.
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Can We Trust AI? Towards Practical Implementation and Theoretical Analysis in Trustworthy Machine Learning.
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Forward and Backward Machine Learning for Modeling Copper Diffusion in Cadmium Telluride Solar Cells.
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Active Resource Partitioning and Planning for Storage Systems Using Time Series Forecasting and Machine Learning Techniques.
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New Model-Based and Deep Learning Methods for Survival Data with or Without Competing Risks.
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Applying Quantum Approximate Optimization to the Heterogeneous Vehicle Routing Problem.
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Essays on Hybrid Modeling of Machine Learning Algorithms and Financial Time Series Models.
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Development of a Practical Electrical Tomography System for Flexible Contact Sensing Applications.
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Creating Musical Scores Inspired by the Intersection of Human Speech and Music Through Model-Based Cross Synthesis.
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Application of Neural Language Models for Research Article Classification into Sustainable Development Goals.
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Improving Production Strategies in Unconventional Oil and Gas Reservoirs Through Machine Learning.
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GAN-Based Super-Resolution and Segmentation of Retinal Layers in Optical Coherence Tomography Scans.
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Simultaneous Short-Term Decision-Making in Mining Complexes Integrating Geometallurgy Assisted By Production Data.
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3D Object Detection for Autonomous Vehicles Perception Based on a Combination of Lidar, Radar, and Image Data.
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Quantitative Trading Portfolio Optimization-Based Stock Prediction Using Long-Short Term Memory Network.
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Autonomous Rock Segmentation from Lidar Point Clouds Using Machine Learning Approaches.
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Unsupervised Generative Chord Representation Learning and its Effect on Novelty-Creativity and Fidelity-Standards.
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Automated Detection of Disruptive Talk in Collaborative Game-Based Learning Environments.
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Portfolio Management and Asset Pricing Amid Contagion and Illiquidity Risks : = A Stochastic and Deep Learning Approach.
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Measuring the Unseen Universe with Statistical Vision : = Strong Lensing as a Probe of Small-Scale Structure.
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Wearable Sensor-Based Sign Language Recognition Using Bio-Acoustic Signals from High-Frequency Accelerometers.
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Efficient and Robust Deep Learning for Medical Imaging and Natural Language Processing.
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Towards Knowledge Based Planning for CyberKnife®Stereotactic Radiosurgery Treatments of Multiple Intracranial Metastases.
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Venture Capital in China: Portfolio Firm Performance, Investment Efficiency, and Partner Selection.
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Experimental Validation of Degradation in Nuclear Equipment-Piping Systems and its Detection Using Deep Learning.
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Graph Neural Networks Based on Multi-Rate Signal Decomposition for Bearing Fault Diagnosis.
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Improving Deep Learning for Medical Time Series Data by Modeling Multidimensional Dependencies.
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Mechanics and Mechanisms of Fracture for an Eastern Spruce Subject to Transverse Loading Using Acoustic Emission.
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Finite Element Analysis of Reinforced Concrete Slab-column Connections for Seismic Performance Investigation.
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Driving Reasoning Systems for Product Design and Flexible Robotic Manipulation Using 3D Design-Based Knowledge Graphs.
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Dimensionality Reduction of Embedded Boundary Models for Nonlinear Fluid-Structure Interaction.
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Functional and Effective Connectivity Based Classification and Prediction of Alzheimer's Disease.
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Deep Learning Applied to Animal Linguistics = = Deep Learning Mit Anwendung in Der Tierlinguistik.
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Multimodal Learning Analytics and Predictive Student Modeling for Game-Based Learning.
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Prediction of Structural Health of Pavement Preservation Treated Pavements Using Neural Networks.
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Distributed Deep Learning in Iot : = Splitting Neural Networks in Inference and Training.
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Sustainable Development Goals Attainment Prediction: A Hierarchical Framework Using Time Series Modelling.
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More is Better than One: The Effect of Ensembling on Deep Learning Performance in Biochemical Prediction Problems.
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Information Extraction and Knowledge Graph Development for Manufacturing Science Domain Using Natural Language Processing.
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Robust and Efficient Probabilistic Approaches Towards Parameter Identification and Model Updating.
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Development of Deep Learning Models for RNA Modification Detection Using Nanopore Sequencing.
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Data Analytics Methods Used for the Issues of Civil Aviation Maintenance Repair and Overhaul Industry-a Literature Review /
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Generative Neural Network-Based Defense Methods Against Cyberattacks for Connected and Autonomous Vehicles.
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High-Integrity Urban Localization: Bringing Safety in Aviation to Autonomous Driving /
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Neural Network Assisted Combustion Chemistry Reaction Model Optimization and Uncertainty Minimization /
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