BENCHMARKING TRANSFER LEARNING STRATEGIES IN TIME-SERIES IMAGING: RECOMMENDATIONS FOR ANALYZING RAW SENSOR DATA

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 of quantitatively sufficient training data.Following the research trend towards the deep learning-based analysis of time-series encoded as images, this study proposes a time-series

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Underwater Wireless Sensor Networks: How Do Acoustic Propagation Models Impact the Performance of Higher-Level Protocols?

Several Medium Access Control (MAC) and routing protocols have been developed in the last years for Underwater Wireless Sensor Networks (UWSNs).One of the main difficulties to compare and validate the performance of different proposals is the lack of a common BURRITO BEAN standard to model the acoustic propagation in the underwater environment.In t

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A diachronic perspective on lithic raw material procurement strategies and mobility: case studies from the Final Palaeolithic, Mesolithic and Neolithic in Central Europe

ABSTRACTAnalysis of prehistoric lithic artefacts helps to answer a wide array of questions concerning archaeological contexts and prehistoric human behaviour.During three projects, we studied the origin of the raw materials of 32 inventories from the Late Glacial and Early Holocene in northwest and southern Germany.The basal petrographic analysis w

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