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Purdue University. Electrical and Computer Engineering. degree granting institution.
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California State University, Fullerton. Computer Engineering. degree granting institution.
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Princeton University. Electrical Engineering. degree granting institution.
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Queen's University (Canada). degree granting institution.
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Washington State University. Electrical Engineering. degree granting institution.
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      Cover image for Automatic Verification of Linear Controller
      25. 
      Automatic Verification of Linear Controller
      by 
      Park, Junkil, author.
      http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10810252
      Format: 
      Excerpt: 
      at the model level. Once the control design is complete, software implementation is automatically
      Cover image for Personal Photo Enhancement
      26. 
      Personal Photo Enhancement
      by 
      Chang, Huiwen, author.
      http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10823598
      Format: 
      Excerpt: 
      personal, an enhancement tool is necessary to provide users with both enough freedom and intuitive control
      Cover image for Embedded real-time processor for MEMS applications
      27. 
      Embedded real-time processor for MEMS applications
      by 
      Brito, Nuno Andre Mano, author.
      http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10758446
      Format: 
      Excerpt: 
      and control systems development by proposing a flexible digital architecture for real-time control and
      Cover image for Techniques for Memory-efficiency, Low-latency and High-throughput in RDMA-based Datacenter Networks and Applications
      28. 
      Cover image for Hardware and Software Accelerators for Big Data Machine Learning Workloads
      29. 
      Hardware and Software Accelerators for Big Data Machine Learning Workloads
      by 
      Nitin, Nitin, author.
      http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10272218
      Format: 
      Excerpt: 
      degradation. Hence, I make use of cross-corelet flow-control in Millipede to prevent such degradation.
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