Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Title
Now showing items 756-775 of 1270
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Module Grobner Bases Over Fields With Valuation
(2017-07-12)Tropical geometry is an area of mathematics that interfaces algebraic geometry and combinatorics. The main object of study in tropical geometry is the tropical variety, which is the combinatorial counterpart of a classical ... -
Moisture Aided Degradation of Oil Impregnated Paper Insulation in Power Transformers
(2018-01-03)Transformers are the most expensive and critical asset in any electrical power network. Their failure results in long interruption of power supply with consequent loss of reliability and revenue. Understanding and detection ... -
Morse-Smale Complexes : Computation and Applications
(2018-01-30)In recent decades, scientific data has become available in increasing sizes and precision. Therefore techniques to analyze and summarize the ever increasing datasets are of vital importance. A common form of scientific ... -
Motion Estimation From Moments Of Projection Data For Dynamic CT
(2016-09-15)In X-ray computed tomography, motion of the object (breathing, for example) while X-ray projections are acquired for tomographic reconstruction leads to mo- tion artifacts in the reconstructed image. Object motion (such ... -
MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning
In the modern era of computing, machine learning tools have demonstrated their potential in vital sectors, such as healthcare and finance, to derive proper inferences. The sensitive and confidential nature of the data in ... -
Multi-Antenna Communication Receivers Using Metaheuristics and Machine Learning Algorithms
(2018-04-23)In this thesis, our focus is on low-complexity, high-performance detection algorithms for multi-antenna communication receivers. A key contribution in this thesis is the demonstration that efficient algorithms from ... -
Multi-Armed Bandits – On Range Searching and On Slowly-varying Non-stationarity
Multi-Armed Bandits (MAB) is a popular framework for modelling sequential decision-making problems under uncertainty. This thesis is a compilation of two independent works on MABs. 1. In the first work, we study a ... -
Multi-connectivity for Urllc and Coexistence with Embb in Time-varying and Fading Channels
Ultra-reliable and low latency communications (URLLC) is a novel use case of 5G. It has challenging requirements like such as low block error rates (BLERs) and stringent latency targets. Multi-connectivity, in which multiple ... -
Multi-label Classification with Multiple Label Correlation Orders And Structures
(2018-06-18)Multilabel classification has attracted much interest in recent times due to the wide applicability of the problem and the challenges involved in learning a classifier for multilabeled data. A crucial aspect of multilabel ... -
Multilevel Dodecagonal and Octadecagonal Voltage Space Vector Structures with a Single DC Supply Using Basic Inverter Cells
(2018-06-15)Multilevel converters have become the direct accepted solution for high power converter applications. They are used in wide variety of power electronic applications like power transmission and distribution, electric motor ... -
Multilevel Dodecagonal Space Vector Structures and Modulation Schemes with Hybrid Topologies for Variable Speed AC Drives
(2017-11-16)MULTILEVEL inverters are the preferred choice of converters for electronic power conversion for high power applications. They are gaining popularity in variety of industrial applications including electric motor drives, ... -
Multilevel Inverter Topologies With Reduced Power Circuit Complexity For Medium Voltage High Power Induction Motor Drives By Cascading Conventional Two-Level And Three-Level Inveters
(2011-02-10)Multilevel inverters have advantages over two-level inverters such as reduced THD, ability to operate at low switching frequencies, reduced switching losses etc. Moreover, higher voltage levels can be handled with devices ... -
Multilevel Voltage Space Vector Generation For Induction Motor Drives Using Conventional Two-Level Inverters And H-Bridge Cells
(2011-09-15)Multilevel voltage source inverters have been receiving more and more attention from the industry and academia as a choice for high voltage and high power applications. The high voltage multilevel inverters can be constructed ... -
Multimodal Deep Learning for Multi-Label Classification and Ranking Problems
(2018-06-11)In recent years, deep neural network models have shown to outperform many state of the art algorithms. The reason for this is, unsupervised pretraining with multi-layered deep neural networks have shown to learn better ... -
Multimodal sleep staging and diagnosis of sleep disorders
Sleep is not a single uniform state, but rather a cyclical pattern involving multiple stages such as rapid eye movement (REM) and non-REM (NREM stages N1, N2, and N3). Polysomnography (PSG) is considered as the gold standard ... -
The Multiprocessor Scheduling Of Periodic And Sporadic Hard Realtime Systems
(2013-10-04)Real time systems have been a major area of study for many years. Advancements in electronics, computers, information technology and digital networks are fueling major changes in the area of real time systems. In this ... -
Multisource Subnetwork Level Transfer in Deep CNNs Using Bank of Weight Filters
The convolutional neural networks (CNNs) have become the most successful models for many pattern recognition problems in the areas of computer vision, speech, text and others. One concern about CNNs has always been their ... -
A Multiview Extension Of The ICP Algorithm
(2011-07-12)The Iterative Closest Point (ICP) algorithm has been an extremely popular method for 3D points or surface registration. Given two point sets, it simultaneously solves for correspondences and estimates the motion between ... -
Multiview Face Detection And Free Form Face Recognition For Surveillance
(2014-10-15)The problem of face detection and recognition within a given database has become one of the important problems in computer vision. A simple approach for Face Detection in video is to run a learning based face detector every ...