Neural networks.
Overview
Works: | 263 works in 0 publications in 0 languages |
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Titles
Neural network design : = a process model development methodolgy /
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Feed Forward Neural Network Approach for Diagnosing the Faulty Functioning in Digital Circuits.
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Diffusion-based Approaches to Visualization and Exploration of High-Dimensional Data.
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Natural Language Processing and Graph Representation Learning for Clinical Data.
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Fault Prediction and Self-Healing Paradigm for Intelligent Hardware Systems.
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Towards Generalizable Machine Learning in Neuroscience using Graph Neural Networks.
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New Deep Neural Networks for Unsupervised Feature Learning on Graph Data.
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Machine Learning Based Simulation and Control Framework for Power Distribution Systems with Transactive Elements.
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Detecting Outliers for Improving the Quality of Incident Duration Prediction.
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Model-Based Learning to Augment Collaborative Filtering: Prediction and Evaluation.
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Fault Diagnosis for Wind Turbine Systems by Using Neural Network and Deep Learning Techniques.
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A Representation-Based Approach to Connect Regular Grammar and Deep Learning.
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Intelligent Energy-Efficient Drones: Path Planning, Real-Time Monitoring and Decision-Making.
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Predicting, Engineering and Interpreting Gene Regulatory Sequences and Proteins with Deep Learning.
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Adaptive Feature Representation to Improve, Interpret and Accelerate Channel Estimation and Prediction for Shallow Water Acoustic Environments.
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Towards Adversarial and Non-Adversarial Robustness of Machine Learning and Signal Processing: Fundamental Limits and Algorithms.
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Artificial Intelligence and Machine Learning for Control and Operation of Electric Vehicles and Machine Drives.
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A Deep Learning Based Approach to Sketch Recognition and Model Transformation for Requirements Elicitation and Modelling.
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Discovering Biophysical Principles in Latent Space Representations of Immune Recognition.
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Deep Learning Strategies for Critical Heat Flux Detection in Pool Boiling.
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Experimental Machine Learning and Deep Learning Credit Card Fraud Detection.
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Internet of Things (IoT) Anomaly Detection Using Machine Learning Techniques: Parameter Optimization and Algorithm Comparison.
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Machine Learning Model Time-Series Clustering for Energy Optimized Virtual Machine Placement Using Time-Series Performance Data.
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A Novel Approach for Improving the Quality of Data Using Aggregation Mechanism.
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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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Techniques for Mapping Deep Neural Network Frameworks to Programmable Accelerators.
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Modeling Multivariate Time-Series Variables in Healthcare Using Deep Learning Methods.
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Turning Visual Noise into Hardware Efficiency: Systems of Viewer and Content Aware Power-Quality Scalable Embedded Memories with Ecc-Adaptation for Big Videos and Deep Learning.
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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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Efficient Provisioning of Virtual Network Functions Via Machine Learning.
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Prediction of Tensile Behaviors of L-Ded 316 Stainless Steel Parts Using Machine Learning.
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Determining the Factors Associated with Improved Outcomes in Patients with Spinal Cord Injury.
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Randomized Methods in Optimization: Fast Algorithms and Fundamental Limits.
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PHEV Power Management Optimization Using Trajectory Forecasting Based Machine Learning.
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Microfluidic Studies of Temperature Dependent Phase Transitions in Aerosol Droplets.
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Physics-Based Artificial Intelligence Models for Vehicle Emissions Prediction.
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Robust Filtering Schemes for Machine Learning Systems to Defend Adversarial Attack.
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Super Resolution Laser Thermography using Spatially and Temporally Structured Heating = = Superauflosende Laserthermografie mit raumlich und zeitlich strukturierter Heizung.
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Key Signal Processing Technologies for High-Speed Passive Optical Networks.
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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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Application of Artificial Intelligence to Wastewater Treatment Plant Operation.
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Machine Learning Enabled Network-on-Chip Design for Low-Power, High-Performance, and Flexible Manycore Architectures.
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Urban Land Dynamics in the Abuja City-Region, Nigeria: Integrating GIS, Remotely Sensed, and Survey-Based Data to Support Land Use.
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A Deep Learning Approach to LncRNA Subcellular Localization Using Inexact q-mer.
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How Many Ways Can You Vocalize Emotion? Introducing an Audio Corpus of Acted Emotion.
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Optimal Transport Methods for Causal Inference, Multisample Testing, and Model Interpretation.
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Insights into Chemical Reactions at Interfaces from Enhanced Sampling and Global Optimization Algorithms.
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See, Act, and Conceptualize: A Learning System for Robots to Interact with the World.
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Natural Language Processing for Computing the Influence of Language on Perception and Behavior.
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Analysis of Quantization and Normalization Effects in Deep Neural Networks.
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Algorithmic Techniques for Neural Network Training on Memory-Constrained Hardware.
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Towards Semantic Representations of Tissue Organization from High-Parameter Imaging Data.
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Multiscale Algorithms for Structured Matrices: Fast Solvers and Deep Learning.
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Improve Entrepreneurial Funding Screening and Evaluation: Business Success Prediction with Machine Learning.
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All the Lenses: Large-Scale Hierarchical Inference of the Hubble Constant from Strong Gravitational Lenses with Bayesian Deep Learning.
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Deep Learning for Large-Scale MIMO: An Intelligent Wireless Communications Approach.
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Generalized Hate Speech Detection on Social Media = = איתור תכני שנאה ברשתות חברתיות.
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Regional Sustainable Development Efficiency Assessment Model with the Future Performance for OECD Countries: Based on Dynamic Ratio Measure Model with Network.
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Neuromorphic Systems for Pattern Recognition and UAV Trajectory Planning.
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UAV Trajectory and Radio Resource Optimization for Cached UAV Wireless Networks: Data Driven Learning Approach.
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From Artificial Intelligence to Traffic Analysis: Automatic Video Detection and Tracking of Cyclists, Pedestrians, Mopeds and Vehicles.
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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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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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Machine Learning for Coherent Structure Identification and Super Resolution in Turbulent Flows.
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Language Making in Classrooms with Emergent Bi/Multilingual Children : = Recognizing Additional Ways of Engaging.
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A Novel Data-Driven Fault Tree Methodology for Fault Diagnosis and Prognosis.
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Leveraging Multi-Source Remote Sensing Images and Deep Learning to Map Caribou Lichens.
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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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Onboard Image Classification of Biological Habitats Using Underwater Vehicles.
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A Practical Finite Element Model of TSADWA Type Semi-Rigid Connections for Push-Over Analysis of Steel Frames in SAP2000 = = Celik Cercevelerin SAP2000'de Itme Analizi Icin Uakgck Tipi Yari Rijit Baglantilarin Pratik bir Sonlu Eleman Modeli.
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Facets of Neural Network Complexity = = Facetten der Komplexitat fur neuronale Netze.
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Imagination-Augmented Deep Reinforcement Learning for Robotic Applications.
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Artificial Intelligence Applied to Facial Image Analysis and Feature Measurement.
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An Investigation Into Exchange Rate Dynamics, Adjustment Mechanisms and Monetary Policy.
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Deep Learning for Touchless Human-Computer Interaction Using 3D Hand Pose Estimation.
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Seismic Risk Management of Complex Road Networks : = Optimization Methods and Integration of Community Impact Metrics.
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Leveraging Prior Knowledge and Structure for Data-Efficient Machine Learning.
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Essays on Credit Swap Default Market : = Time Series Predictions with Machine Learning = Kredi Temerrut Piyasasi Uzerine Makaleler : Makine Ogrenmesi ile Zaman Serisi Tahminleri.
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Sustainability Conversations for Impact : = Transdisciplinarity on Four Scales.
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Towards a Resilient and Intelligent Energy Management System Design for Distribution Networks with High Renewable Energy Penetration.
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Towards Explainable Artificial Intelligence : = Interpreting Neural Network Classifiers with Probabilistic Prime Implicants = Zu Erklarbarer Kunstlicher Intelligenz.
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Wireless Detection, Localization and Tracking of Unmanned Aerial Vehicles.
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An Artificial Intelligence Framework to Contractor Financial Prequalification.
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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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Analysing and Forecasting Tourism Demand in Vietnam with Artificial Neural Networks.
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Accelerating Molecular Materials Discovery Following Data-Driven Approaches.
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Cognitive Architectures, Processing and Learning Algorithms for Intelligent Radar Solutions = = Kognitive Architekturen, Verarbeitungsund Lernalgorithmen fur Intelligente Radar-Losungen.
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Artificial Neural Network-Based Surrogate Modelling Methods in Accelerating Topology Optimization Process for Large-Scale Designs.
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Applying Machine Learning Algorithms in the Design and Manufacturing Process of Bioinspired Architectured Materials.
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The Design and Development of Artificial Intelligence Controlled Laboratory Scale Fluidized Bed Gasifier = = Yapay Zeka Kontrollu Laboratuvar OLcekli̇ Akiskan Yatakli Gazlastirici Tasarimi ve Geli̇sti̇ri̇lmesi̇.
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Hybrid Monte Carlo Methods in Machine Learning : = Stochastic Volatility Methods, Shadow Hamiltonians, Adaptive Approaches and Variance Reduction 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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A Comparative Study of Deep Learning Architectures for Multivariate Cloud Workload Prediction = = COk Degiskenli Bulut is Yuku Tahmini Icin Derin Ogrenme Mimarilerinin Karsilastirmali Calismasi.
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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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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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Essays on Hybrid Modeling of Machine Learning Algorithms and Financial Time Series Models.
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A MEMS Vibrating Ring Gyroscope with on-Chip Capacitive Stress Sensors for Drift Compensation = = Uzun Donem Sapma Dorulamasi Icin CIp Ici Kapasitif Stress Sensorlu MEMS Titrek Halka Donuolceri.
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Out-of-Distribution Representation Learning for Network System Forecasting.
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Development of a Practical Electrical Tomography System for Flexible Contact Sensing Applications.
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Rogue Certificate Detection Using Multi-point and AI Verification = = זיהוי סרטיפיקטים סוררים באמצעות אימות ממיקומים מרובים ואינטליגנציה מלכותית.
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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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Fault Diagnosis and Fault Tolerant Control for Wind Turbine Dynamic Systems.
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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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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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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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Integrated Geophysical, Hydrogeochemical and Artificial Intelligence Techniques for Groundwater Study in the Langat Basin, Malaysia.
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Language Learning Using Models of Intentionality in Repeated Games With Cheap Talk.
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Automated Pre-Play Analysis of American Football Formations Using Deep Learning.
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Automated Detection of Disruptive Talk in Collaborative Game-Based Learning Environments.
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Eliminating Guesswork : = An Exploration of the Role of Predictive Modelling in Care Management for Patients with Multimorbidities.
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Portfolio Management and Asset Pricing Amid Contagion and Illiquidity Risks : = A Stochastic and Deep Learning Approach.
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Real-Time Energy Management System of Battery-Supercapacitor in Electric Vehicles.
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Developments Toward a Novel Methodology for Spent Nuclear Fuel Verification.
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Multimodal Object Representation Learning in Haptic, Auditory, and Visual Domains.
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Distributed Deep Learning in Iot : = Splitting Neural Networks in Inference and Training.
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Computational Models in fMri : = from the Neural Basis of Visual Recognition Memory to Predicting Brain Activation for Arbitrary Tasks.
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Improving Deep Learning for Medical Time Series Data by Modeling Multidimensional Dependencies.
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Melody Informatics : = Computational Approaches to Understanding the Relationships Between Human Affective Reasoning and Music.
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An Investigation on the Resilience of Long Short-Term Memory Deep Neural Networks.
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Wearable Sensor-Based Sign Language Recognition Using Bio-Acoustic Signals from High-Frequency Accelerometers.
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Mangrove Species Classification and Leaf Area Index Estimation from Multispectral, Hyperspectral and LiDAR Data in Mai Po Nature Reserve, Hong Kong.
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Adversarial Machine Learning in Computer Vision: Attacks and Defenses on Machine Learning Models.
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Hyperspectral Image Analysis Using Limited Data = = Hyperspektrale Bildanalyse mit begrenzten Daten.
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Robust Design in Game Theory: Bayesian Optimization Approach to Minimax Problems with Equilibrium Constraints.
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Machine Vision Methods for Evaluating Plant Stand Count and Weed Classification Using Open-Source Platforms.
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Latent Map Gaussian Processes for Mixed Variable Metamodeling and Data Fusion.
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Traffic Fatality Rate Prediction Based on Deep Neural Network and Bayesian Neural Network.
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Three Essays in Economics: Neural Networks and Duration Models, Gender Identity and Unemployment Durations, News and Police Legitimacy.
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Mathematical Optimization Algorithms for Model Compression and Adversarial Learning in Deep Neural Networks.
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Interpretable Statistical Learning: From Hidden Markov Models to Neural Networks.
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Machine Learning in Poultry Companies' Data. Applications and Methodologies.
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Training Deep Neural Networks and Solving Differential Equations Using Neuromorphic Photonics.
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Monte Carlo Planning and Reinforcement Learning for Large Scale Sequential Decision Problems.
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Data-driven Human Intention Analysis: Supported by Virtual Reality and Eye Tracking.
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Statistical Arbitrage in Momentum and Pairs Trading by Machine Learning Models and Copulas.
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