Time series.
Overview
Works: | 61 works in 0 publications in 0 languages |
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Titles
Executive compensation following a decline in the investment opportunity set.
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Uncertainty Quantification for Photovoltaic Energy Production Using Analog Ensemble.
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Environmental Impacts of Floating Solar Photovoltaics on Their Host Water Bodies : = Opportunities and Risks.
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Quantifying On-Farm Reservoir Dynamics : = An Earth Observation and Hydrological Modeling Approach.
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Simulations of Coastal Currents, Transport and Population Connectivity of Blue Mussel (Mytilus Edulis) in the Gulf of Maine.
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Statistical Inference of Change Points and Its Applications in Neuroscience Research.
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High-Dimensional Time Series Modeling and Forecasting with Application to Energy Network Data.
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A Novel Approach for Improving the Quality of Data Using Aggregation Mechanism.
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Modeling Multivariate Time-Series Variables in Healthcare Using Deep Learning Methods.
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Buoyancy Controlled Float Swarms for Distributed Sensing in Coastal Waterways.
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Mapping Temporal Changes of Erosion and Potentially Acid Generating Material on Abandoned Mine Lands Using Remotely Piloted Aerial Systems.
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Optimization of Coverage Ratios for Basis and Freight Trading Portfolios.
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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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An Agent-Based Approach to Adaptive Design Via Augmented Artifacts in a Complex System.
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Visual Analysis of the Product Supply Chain in Smart Manufacturing and Industry 4.0.
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Identification and Classification of Radio Pulsar Signals Using Machine Learning.
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WRF-based Dynamical Downscaling Over High Mountain Asia = = WRF-basiertes Dynamisches Downscaling Uber Hochasien.
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Comparative Exergy-Based Evaluation of Standalone, Integrated and Hybrid Concentrated Solar Power Systems = = Vergleichende Exergie-Basierte Bewertung von Eigenstandigen, Integrierten und Hybriden Konzentrierten Solarenergiesystemen.
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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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Forecasting Elections in a Multiparty System : = The Case of Portugal and Brazil.
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Improving Deep Learning for Medical Time Series Data by Modeling Multidimensional Dependencies.
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AI in Education : = Effective Machine Learning Methods to Improve Data Scarcity and Knowledge Generalization.
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Development of a Model to Predict Outcomes After Dynamic Cycling People with Parkinson's Disease.
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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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Essays on the Predictive Content of Option Prices and Tail Uncertainty of Asset Returns.
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Bayesian Clustering and Modeling Approaches for the Analysis of Brain-Imaging Data.
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