Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Title
Now showing items 301-320 of 1710
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Decentralized information flow control for the robot operating system
The Robot Operating System (ROS) is a popular open-source middleware widely used in the robotics community. While ROS provides extensive support for robotic application develop- ment, it lacks certain fundamental security ... -
Decentralized optimization with appliation to flow control
Decentralized computation is considered an important design goal of large systems. This may be to increase the reliability of the system or to reduce the computation time, and in some situations, it is a necessity. ... -
Decision Making under Uncertainty : Reinforcement Learning Algorithms and Applications in Cloud Computing, Crowdsourcing and Predictive Analytics
In this thesis, we study both theoretical and practical aspects of decision making, with a focus on reinforcement learning based methods. Reinforcement learning (RL) is a form of semi-supervised learning in which the agent ... -
Deep Learning Based Channel Estimation in Wireless Communications
Deep learning techniques which employ trained neural networks to solve problems have witnessed widespread adoption in diverse fields like medicine, architecture, robotics, autonomous vehicles, wireless communications, ... -
Deep Learning for Bug Localization and Program Repair
In this thesis, we focus on the problem of program debugging and present novel deep learning based techniques for bug-localization and program repair. Deep learning techniques have been successfully applied to a variety ... -
Deep Learning Methods For Audio EEG Analysis
The perception of speech and audio is one of the defining features of humans. Much of the brain’s underlying processes as we listen to acoustic signals are unknown, and significant research efforts are needed to unravel ... -
Deep Learning Models for Few-shot and Metric Learning
Deep neural network-based models have achieved unprecedented performance levels over many tasks in the traditional supervised setting and scale well with large quantities of data. On the other hand, improving performance ... -
Deep Learning over Hypergraphs
Graphs have been extensively used for modelling real-world network datasets, however, they are restricted to pairwise relationships, i.e., each edge connects exactly two vertices. Hypergraphs relax the notion of edges ... -
Deep Learning with Minimal Supervision
Abstract In recent years, deep neural networks have achieved extraordinary performance on supervised learning tasks. Convolutional neural networks (CNN) have vastly improved the state of the art for most computer vision ... -
Degradation Studies on Polymeric Insulators used for EHV and UHV Transmission
High voltage insulators used in overhead power transmission systems are of key im- portance for safe, reliable, and effcient operation of transmission line in transferring huge amount of electrical power. Conventionally, ... -
Delaunay Graphs for Various Geometric Objects
(2017-12-12)Given a set of n points P ⊂ R2, the Delaunay graph of P for a family of geometric objects C is a graph defined as follows: the vertex set is P and two points p, p' ∈ P are connected by an edge if and only if there exists ... -
Delay Differentiation By Balancing Weighted Queue Lengths
(2017-05-04)Scheduling policies adopted for statistical multiplexing should provide delay differentiation between different traffic classes, where each class represents an aggregate traffic of individual applications having same ... -
Delay Minimization of an M/M/1 Point-to-Point Link Model Subject to Throughput and Power Constraints
(2018-02-15)In this thesis, we address the problem of minimizing the average delay of data pack-ets served by a transmitter on a static, point-to-point link. The transmitter dynamically chooses state-dependent admission and transmission ... -
Delayless adaptive IFIR structures and algorithms
Adaptive Filtering (AF) [1], [2] is used in a variety of applications such as system identification, channel equalization, active noise cancellation, and echo cancellation. Over the years, significant research efforts have ... -
Delivery Strategies for Dynamic Contents in Edge Caching Systems
In today's digital age, multimedia consumption is pervasive, driven by video-on-demand platforms, online social networks, and sensor networks. Whether it is the latest blockbuster movie on a streaming service or real-time ... -
Demodulation of Narrowband Speech Spectrograms
(2017-11-22)Speech is a non-stationary signal and contains modulations in both spectral and temporal domains. Based on the type of modulations studied, most speech processing algorithms can be classified into short-time analysis ... -
Denoising and Refinement Methods for 3D Reconstruction
Capturing raw 3D data from the real world is the initial step for many 3D reconstruction pipelines in different computer vision applications. However, due to inaccuracies in measurement and oversimplification in mathematical ... -
DeNOx Studies In Diesel Exhaust Under AC/Pulse Energizations
(2015-11-16)It is the need of the hour to reduce the pollutants which poison our atmosphere and harm our health. The diesel engines are the most efficient IC engines in the world today, but paradoxically, they are also the engines ... -
Dependency-lattices, acyclic hypergraphs and relational database scheme design
Compared to other models of data, the relational model offers several advantages: Clear separation between logical organization and physical storage of data Ease of understanding the logical structure Use of high-level ... -
Deposition and characterisation of spin-on-oxide (spoxide) using an organosilicon compound
Abstract not available