Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Title
Now showing items 765-784 of 1272
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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 ... -
Multiview Registration Using Rank-Constrained Semide nite Programming
We consider the problem of reconstructing a 3D surface from its multiview scans. Typically, the computational pipeline for this problem has two phases: (I) finding point-to-point correspondences between overlapping scans, ... -
Music And Speech Analysis Using The 'Bach' Scale Filter-Bank
(2009-08-13)The aim of this thesis is to define a perceptual scale for the ‘Time-Frequency’ analysis of music signals. The equal tempered ‘Bach ’ scale is a suitable scale, since it covers most of the genres of music and the error is ... -
A Nash Bargaining Based Bid Optimizer for Sponsored Search Auctions
The on-line advertising market involving displaying of Ads against search results by a search engine is growing at a fast rate. A majority of the search engine companies sell their advertising space through auctions which ... -
Nature-inspired Algorithms for Automated Deployment of Outdoor IoT Networks
A vast majority of the Internet of Things (IoT) devices will be connected in a topology where the edge-devices push data to a local gateway, which forwards the data to a cloud for further processing. In sizeable outdoor ... -
Near-Duplicate Detection Using Instance Level Constraints
(2011-08-09)For the task of near-duplicate document detection, comparison approaches based on bag-of-words used in information retrieval community are not sufficiently accurate. This work presents novel approach when instance-level ... -
Network Centrality Measures And Their Applications
(2014-03-03)Study of complex networks by researchers from many disciplines has provided penetrating insights on various complex systems. A study of the world wide web from a network theoretic perspective has led to the design of new ... -
Network Coding for Wirless Relaying and Wireline Networks
(2017-12-10)Network coding has emerged as an attractive alternative to routing because of the through put improvement it provides by reducing the number of channel uses. In a wireless scenario, in addition, further improvement can be ...