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A Machine Learning-based Anomaly Detection Framework for Building Electricity Consumption Data
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Denoising and decoding spontaneous vagus nerve recordings with machine learning
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Black Carbon characterization with Raman spectroscopy and machine learning techniques - first results for urban and rural area
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Machine Learning Approach to Investigating the Relative Importance of Meteorological and Aerosol-Related Parameters in Determining Cloud Microphysical Properties
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A Comparison of Machine Learning Methods for Predicting the Direction of the US Stock Market - Using Volatility Indices
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Use of EEG-Based Machine Learning to Predict Music-Related Brain Activity - Undergraduate Thesis
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Near- and Mid-Infrared Spectroscopy Combined with Machine Learning Algorithms to Determine Minerals and Antioxidant Activity in Commercial Cheese
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ENHANCING CIRCULAR MICROSTRIP PATCH ANTENNA PERFORMANCE USING MACHINE LEARNING MODELS
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Structural Damage Detection in the Wooden Bridge Using the Fourier Decomposition, Time Series Modeling and Machine Learning Methods
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From Fuzzy-TOPSIS to Machine Learning - A Holistic Approach to Understanding Groundwater Fluoride Contamination - Abstract
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Cleantech and policy framework in Europe - A machine learning approach
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Plant Stem Disease Detection Using Machine Learning Approaches
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Combination of whole genome sequencing and supervised machine learning provides unambiguous identification of eae-positive Shiga toxin-producing Escherichia coli - Original Research
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Galaxy Rotation Curve Fitting Using Machine Learning Tools
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Machine Learning and Computer Vision for Urban Drainage Inspections
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