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Found 8 papers, 2 papers with code
A scalable framework for annotating photovoltaic cell defects in electroluminescence images
The correct functioning of photovoltaic (PV) cells is critical to ensuring the optimal performance of a solar plant.
Closed-Form Diffeomorphic Transformations for Time Series Alignment
Gradient-based optimization frameworks containing diffeomorphic transformations require to calculate derivatives to the differential equation's solution with respect to the model parameters, i. e. sensitivity analysis.
A survey study of success factors in data science projects
In recent years, the data science community has pursued excellence and made significant research efforts to develop advanced analytics, focusing on solving technical problems at the expense of organizational and socio-technical challenges.
A novel method for error analysis in radiation thermometry with application to industrial furnaces
Accurate temperature measurements are essential for the proper monitoring and control of industrial furnaces.
ArchABM: an agent-based simulator of human interaction with the built environment. $CO_2$ and viral load analysis for indoor air quality
Recent evidence suggests that SARS-CoV-2, which is the virus causing a global pandemic in 2020, is predominantly transmitted via airborne aerosols in indoor environments.
Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules
In the operation & maintenance (O&M) of photovoltaic (PV) plants, the early identification of failures has become crucial to maintain productivity and prolong components' life.
Data Science Methodologies: Current Challenges and Future Approaches
Few methodologies have been proposed on the literature that tackle these type of challenges, some of them date back to the mid-1990, and consequently they are not updated to the current paradigm and the latest developments in big data and machine learning technologies.
Trace transform based method for color image domain identification
Context categorization is a fundamental pre-requisite for multi-domain multimedia content analysis applications in order to manage contextual information in an efficient manner.
