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—Low-power sensing technologies have emerged for acquiring physiologically indicative patient signals. However, to enable devices with high clinical value, a critical requirement is the ability to analyze the signals to extract specific medical information. Yet given the complexities of the underlying processes, signal analysis poses numerous challenges.(More)
The composite Web service selection is the process of building an executable composite Web service. Generally, the selection process involves decision making in terms of non-functional properties of Web services such as QoS requirements. Since the number of Web services is rapidly increasing and the QoS of the Web services environment changes dynamically,(More)
Although physiologically-indicative signals can be acquired in low-power biomedical sensors, their accurate analysis imposes several challenges. Data-driven techniques, based on supervised machine-learning methods provide powerful capabilities for potentially overcoming these, but the computational energy is typically too severe for low-power devices. We(More)
— We present an approach for overcoming computational errors at run time that originate from static hardware faults in digital processors. The approach is based on embedded machine-learning stages that learn and model the statistics of the computational outputs in the presence of errors, resulting in an error-aware model for embedded analysis. We(More)
ÐGeometric structure analysis is a prerequisite to create electronic documents from logical components extracted from document images. This paper presents a knowledge-based method for sophisticated geometric structure analysis of technical journal pages. The proposed knowledge base encodes geometric characteristics that are not only common in technical(More)
The goal of digital preservation is to ensure long-term access to digitally stored information. In this paper, we present a survey of techniques used in digital preservation. We also introduce representative digital preservation projects and case studies that provide insight into the advantages and disadvantages of different preservation strategies.(More)
Emerging biomedical sensors and stimulators offer unprecedented modalities for delivering therapy and acquiring physiological signals (e.g., deep brain stimulators). Exploiting these in intelligent, closed-loop systems requires detecting specific physiological states using very low power (i.e., 1–10mW for wearable devices, 10–100µW for(More)