Maryland Shared Open Access Repository
MD-SOAR is a shared digital repository platform for eleven colleges and universities in Maryland. It is currently funded by the University System of Maryland and Affiliated Institutions (USMAI) Library Consortium (usmai.org) and other participating partner institutions. MD-SOAR is jointly governed by all participating libraries, who have agreed to share policies and practices that are necessary and appropriate for the shared platform. Within this broad framework, each library provides customized repository services and collections that meet local institutional needs. Please follow the links below to learn more about each library's repository services and collections.
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Quantum annealing in the NISQ era: railway conflict management
(2021-12-08)We are in the Noisy Intermediate-Scale Quantum (NISQ) devices' era, in which quantum hardware has become available for application in real-world problems. However, demonstrating the usefulness of such NISQ devices are still ... -
Joint modeling of longitudinal functional feature and time to event: an application to fecundity studies
(2021-12-06)In many longitudinal studies, it is often of interest to investigate how the {\it geometric functional features} (such as the curvature, location and height of a peak), of a marker's measurement process is associated with ... -
Individual Learning Accounts: A Comparison of Implemented and Proposed Initiatives
(Sage, 2021-12-11)Access to lifelong learning opportunities has long been discussed in terms of the economic benefits conferred by access to and engagement in further education by members of the labor force, particularly within the global ... -
Guest Editorial Cross-Layer Designs, Methodologies, and Systems to Enable Micro AI for On-Device Intelligence
(IEEE, 2021-12-13)This Special Issue of the IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS) aims to investigate the latest research in the domain of cross-layer design approaches including algorithms, architectures, ... -
SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation
(2022-01-13)Feature regression is a simple way to distill large neural network models to smaller ones. We show that with simple changes to the network architecture, regression can outperform more complex state-of-the-art approaches ...
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