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Now showing items 11-20 of 39
AUTOMATIC SYSTEM RESTORATION FOR INDUSTRIAL POWER SYSTEMS
(2021-04-06)
The power system industry often operates close to its limits to accommodate the increased demand posing a high risk of blackouts. Power system restoration techniques are utilized post breakout with the focus on load pickup ...
REALIZATION OF COMPACT ELECTROCHEMICAL SENSING SYSTEMS ON A BOARD AND A CHIP FOR A HIGH-DENSITY SENSOR ARRAY
(2021-05-09)
The sensitive and cost-effective electrochemical sensors based on various classes of nanocomposites fabricated by different methods for the detection of target chemicals. Its application is boundless from reactive monitoring ...
UNSUPERVISED DATA DRIVEN MACHINE LEARNING IN HYPERSPECTRAL IMAGING AND ECHOCARDIOGRAPHY VIDEOS
(2021-05-06)
This work discusses the problem of unsupervised classification in images. Conventional methods approached this problem with the naive assumption that the relationship among the pixels' information can be expressed sufficiently ...
NONLINEAR AND QUANTUM OPTICS IN FEW-MODE-FIBERS
(2021-04-22)
In the absence of quantum repeaters, fiber loss sets the hard limit on secure quantum communication rate. Single-photon source rate decays exponentially with the length of fiber. The only way to scale the rate up is by ...
DATA-DRIVEN DECISION MAKING AND CONTROL OF RATIONAL AGENTS
(2021-05-07)
This dissertation studies the problem of data-driven optimal decision making. The 4main contributions of this work are listed here. First, we develop a model-based and data-driven techniques for learning the cost of an ...
ROBUST TRAINING METHODS FOR DEEP NEURAL NETWORKS WITH A VARIETY OF LABEL NOISE
(2021-05-07)
Requirement of significant amount of labeled training data is a major drawback in training deep neural networks (DNNs), due to the presence of mislabeled examples in these
datasets. This label noise is shown to have an ...
ADAPTIVE ACTIVATIONS AND SHIFT INVARIANCE IN SHALLOW CONVOLUTIONAL NEURAL NETWORKS
(2021-08-13)
Deep learning training training algorithms are a huge success in recent years in many fields including speech, text,image video etc. Deeper and deeper layers are proposed with huge success with resnet structures having ...
HIGH-PERFORMANCE OPTIMIZATION METHODS FOR EMERGING POWER SYSTEMS
(2020-07-31)
This dissertation investigates the applications of high performance optimization techniques for emerging power systems with augmented power electronics devices. One of the main sources of complexity in the analysis of power ...
Multiscale Modeling and Simulation of Clutter in ISAR Imaging
(2020-05-05)
Clutter is common in applications of radar imaging and can adversely impact target imaging by contributing scattered energy that is not accounted for in target signal models. One potential source of clutter is moving ...
BEAMFORMING USING QUASI OPTICAL APPROACH FOR 5G BACKHAUL
(2021-05-06)
A new method is proposed for quasi optical beamforming that will enhance performance of emerging systems such as broad deployment of 5G backhaul communications, Internet of Things (IOT), vehicular networking systems, and ...