Benchmarking Transfer Learning Strategies in Time-Series Imaging: Recommendations for Analyzing Raw Sensor Data

With the growing availability and complexity of time-series sequences, scalable and robust machine learning approaches are required that overcome the sampling challenge L-Glutathione of quantitatively sufficient training data.Following the research trend towards the deep learning-based analysis of time-series encoded as images, this study proposes

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