Search
Skip to Search Results- 2Arefi, Afshin
- 2Bagheri, Pooya
- 2Banerjee, Bitan
- 2Barczyk, Martin
- 2Barth, Stuart E
- 2Behnam Dehkordi, Mohammad
- 19Machine Learning
- 16Glancing angle deposition
- 15Wireless communication systems.
- 13Nanotechnology
- 12FPGA
- 12MIMO
- 20Musilek, Petr (Electrical and Computer Engineering)
- 20Tellambura, Chintha (Electrical and Computer Engineering)
- 19Ardakani, Masoud (Electrical and Computer Engineering)
- 19Chen, Tongwen (Electrical and Computer Engineering)
- 19Li, Yunwei (Electrical and Computer Engineering)
- 19Reformat, Marek (Electrical and Computer Engineering)
-
Fall 2009
This thesis presents a collection of studies on the topic of survivable transparent optical networks. As backbone networks increase in capacity, the issue of their survivability grows correspondingly in importance. The transparent optical network offers many advantages as the optical backbone...
-
Predicting Waterflooding Performance in Low-permeability Reservoirs with Linear Dynamical System
DownloadFall 2016
Several interwell connectivity models such as multiple linear regression (MLR) and the capacitance model (CM) have been proposed to model waterflooding performance in high-permeability reservoirs based on observed production data. However, the existing methods are not effective at characterizing...
-
Prediction and Characterization of DNA and RNA Binding Residues from Protein Sequence: state-of-the-art, novel predictors and proteome-scale analysis
DownloadFall 2016
Interactions between proteins and DNA/RNA play vital roles in many cellular processes and yet many of them remain to be found and characterized. Many computational methods have been developed to predict from protein sequences which parts of the proteins (so called interacting residues) are...
-
Fall 2017
A wireless sensor network is a tool that can collect data, aiding in answering a number of different questions in research and industrial environments. When deployed in remote locations, it is often beneficial to use of energy harvesting technologies, allowing sensor nodes to replenish energy...
-
Fall 2019
We study the problem of applying optimization methods under realistic and challenging constraints such as privacy, efficiency, etc., and demonstrate our design over two different cases: distributed machine learning with distributed features and load balancing for erasure-coded cloud storage...
-
ProAnalyser: a multimedia modeling and authoring framework for discerning student learning processes
DownloadSpring 2010
Online multimedia education systems traditionally tend to consist almost exclusively of multiple choice or numeric response style questions. However, many curricula such as math, physics, and chemistry typically involve students completing large, complex, multi-step problems where the process...
-
Probabilistic and Stochastic Computational Models: from Nanoelectronic to Biological Applications
DownloadFall 2012
A finite state machine (FSM) is a classical abstract model for sequential circuits that are at the core of any digital system. Due to fabrication defects and transient faults, the reliable operation of sequential circuits is greatly desired. In this thesis, computational models are initially...