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Leveraging machine learning techniques to analyze nutritional content in processed foods
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ASAD: A Meta Learning-Based Auto-Selective Approach and Tool for Anomaly Detection
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Jointly Optimized Placement of Application VM and VNF in NFV Based Data Center
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Time-of-Flight Camera Intensity Image Reconstruction Based on an Untrained Convolutional Neural Network
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PULSE: A Fast Portable Unit for Lab-on-Site Electrochemistry
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Machine Learning Approach to Model Soil Resistivity Using Field Instrumentation Data
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Lessons from national biobank projects utilizing whole-genome sequencing for population-scale genomics
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Optimising laboratory monitoring of chronic conditions in primary care: a quality improvement framework
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