MANIFOLD LEARNING AND CLUSTERING FOR AUTOMATED PHASE IDENTIFICATION AND ALIGNMENT IN DATA DRIVEN MODELING OF BATCH PROCESSES

Manifold Learning and Clustering for Automated Phase Identification and Alignment in Data Driven Modeling of Batch Processes

Processing data that originates from uneven, multi-phase batches is a challenge in data-driven modeling.Training predictive and monitoring models requires the data to be in the right shape to be informative.Only then can a model learn meaningful features that describe the deterministic variability of the process.The presence of multiple phases in t

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Cryptocurrencies Perception Using Wikipedia and Google Trends

In this research we presented different approaches to investigate the possible relationships between the largest crowd-based knowledge source and the market potential of particular cryptocurrencies.Identification of such relations is crucial because their existence may be used to create a broad spectrum of analyses and reports about copyright proje

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