Browsing PhD Dissertations - DO NOT EDIT by Title
Now showing items 196-215 of 247
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Regridding In Nonrigid Image Registration
(Computer Science & Engineering, 2009-09-16)Regridding was first introduced in viscous fluid registration for preventing folding of the transformation and for maintaining the admissible deformation field in large-deformation nonrigid image registration applications. ... -
Reinforcement Learning Based Strategies For Adaptive Wireless Sensor Network Management
(Computer Science & Engineering, 2011-03-03)In wireless sensor networks (WSN), resource-constrained nodes are expected to operate in highly dynamic and often unattended environments. WSN applications need to cope with such dynamicity and uncertainty intrinsic in ... -
REPRESENTATION AND STRATEGY LEARNING FOR VARIABLE-SIZE TREE TRANSFORMATION USING REINFORCEMENT LEARNING
(2021-08-12)Trees as acyclic graphs are ubiquitous in representing different context where they encode connectivity patterns at all scales of organization, from biological systems to social networks. Trees are powerful resources which ... -
RESOURCE PROVISIONING FOR DATA-INTENSIVE USER-FACING APPLICATIONS
(2023-07-27)**Please note that the full text is embargoed until 08/01/2024** Data-intensive, User-facing Services (DUSes) such as web searching, digital marketing, online social networking, and online retailing are critical workloads ... -
Road map generation and feature extraction algorithms from GPS trajectories and Trajectories Data warehousing
(2020-11-05)Advanced technologies in location acquisition allow us to track the movement of moving objects (people, planes, vehicles, animals, ships, ..) in geographical space. These technologies generate a vast amount of trajectory ... -
ROBUST NOISE-BASED ATTACKS AGAINST AUDIO EVENT DETECTION SYSTEMS
(2022-04-14)The massive advances on the field of deep neural networks in the 2000 and 2010 decades led to an overwhelming adoption of these algorithms on all sorts of domains and applications. Under this widespread adoption scenario, ... -
Routing And Channel Assignment Schemes For Interference Avoidance In Wireless Mesh Networks
(Computer Science & Engineering, 2012-07-25)This dissertation presents efficient routing and channel assignment schemes for interference avoidance in wireless mesh networks (WMNs). The most significant contributions of this dissertation are the development and ... -
Run-time Compilation And Dynamic Memory Use Analysis For GPUs
(Computer Science & Engineering, 2014-09-17)Powerful Graphics Processing Units (commonly called GPUs) are proliferatingrapidly and are becoming a viable choice for a wide range of user applications. Forperforming computationally intensive tasks on these processors, ... -
Scalable Parallel Processing Of Multi-objective Optimized DNA Sequence Assembly
(Computer Science & Engineering, 2012-04-11)Bioinformatics is an emerging branch of science where issues pertaining to molecular biology are evaluated and resolved by leveraging the techniques and algorithms devised in the field of computer science. Most of these ... -
Searching And Ranking Xml Data In A Distributed Environment
(Computer Science & Engineering, 2009-09-16)Due to the increasing number of independent data providers on the web, there is a growing number of web applications that require searching and querying data sources distributed at different locations over the internet. ... -
Secure Data Aggregation In Wireless Sensor Networks
(Computer Science & Engineering, 2008-08-08)Recent advances in micro-electro-mechanical systems (MEMS) technology and wireless communications technologies have enabled the deployment of wireless sensor networks (WSNs) in a plethora of applications, ranging widely ... -
Semi Automatic Hand Pose Annotation using a Single Depth Camera
(2022-08-05)This thesis investigates the problem of 3D hand pose annotation using a single depth camera. While hand pose annotations are critically important for training deep neural networks, creating such reliable training data is ... -
SEMI-SUPERVISED DEEP LEARNING WITH APPLICATIONS IN SURGICAL VIDEO ANALYSIS AND BIOINFORMATICS
(2020-05-14)In the current era of big data, deep learning has been the state-of-the-art model for various applications. Image-based applications such as image classification, object detection, image segmentation, benefit most from ... -
SIGN LANGUAGE RECOGNITION IN A LARGE SCALE SIGN DATABASE
(2016-05-12)Recognizing a sign in a sign language video is one of the well known challenging problems in computer vision community. The difficulty arises from many factors including inconsistent sign performing, noisy background, ... -
Similarity Measures And Indexing Methods For Time Series And Multiclass Recognition
This thesis investigates the problem of similarity search in multimedia databases. A key application domain of the proposed work is pattern classification, with emphasis on classification of gestures, handshapes, faces, ... -
Simultaneous Optimization Of Performance, Energy, And Temperature While Allocating Tasks To Multi-cores
Multi-core processors have emerged as a solution to the problem of ever-increasing demands for computing power. However, higher power dissipation levels resulting into thermal problems and increasing cooling costs are major ... -
Social Data Analytics Using Tensors And Sparse Techniques
(Computer Science & Engineering, 2014-07-14)The development of internet and mobile technologies is driving an earthshaking social media revolution. They bring the internet world a huge amount of social media content, such as images, videos, comments, etc. Those ... -
Sparse And Large-scale Learning Models And Algorithms For Mining Heterogeneous Big Data
(Computer Science & Engineering, 2014-03-12)With the development of PC, internet as well as mobile devices, we are facing a data exploding era. On one hand, more and more features can be collected to describe the data, making the size of the data descriptor larger ... -
Sparse Representation Based Classification: Towards Efficiency And Accuracy
With the fast growing deployment of machine intelligence in several real-life applications, there are always increasing needs for faster and more precise machine learning algorithms, especially classification and object ... -
SPATIAL SIMILARITY MEASURES WITH APPLICATIONS TO MAP INTEGRATION AND IMPROVING ACCURACY OF MAP DATA SETS
(2019-12-03)These days we live in a digital era where most societies rely on applications that depend on digital data. One popular type of digital data that is the basis many of applications is spatial data. Road network maps are one ...