Division of Electrical, Electronics, and Computer Science (EECS): Recent submissions
Now showing items 461-480 of 1528
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Robust Non-convex Penalties for Solving Sparse Linear Inverse Problems and Applications to Computational Imaging
Sparse linear inverse problems require the solution to the l-0-regularized least-squares cost, which is not computationally tractable. Approximate and computationally tractable solutions are obtained by employing ... -
Imitation Learning Techniques for Robot Manipulation
Robots that can operate in unstructured environments and collaborate with humans play a major role in raising productivity and living standards as societies age. Unlike the robots currently used in industrial settings for ... -
Plasma catalysis of diesel exhaust using industrial wastes: a study on NOX and THC removal
Air pollution, caused by large scale consumption of fossil fuels such as diesel, has been the leading cause of several adverse environmental effects such as global warming, higher acidity in rainwater, lower yield ... -
Hypothesis Testing under Communication Constraints - Theory and an Application in IoT
Applications in the Internet of Things (IoT) often demand enabling low-compute devices to perform distributed inference and testing by communicating over a low bandwidth link. This gives rise to a plethora of new problems ... -
Security of Post-Quantum Multivariate Blind Signature Scheme: Revisited and Improved
Current cryptosystems face an imminent threat from quantum algorithms like Shor's and Grover's, leading us to post-quantum cryptography. Multivariate signatures are prominent in post-quantum cryptography due to their fast, ... -
Analysis and Enhancement of Stability of Power Systems with Utility-scale Photovoltaic Power Plants
Owing to the negative impact of carbon emissions on environment, power systems are experiencing a paradigm shift in power generation. The fossil fuel-based generators that utilize synchronous machines are increasingly being ... -
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 ... -
Classifying Magnetic and Non-magnetic Two-dimensional Materials by Machine Learning
There has been a giant leap in technological advancement with the introduction of graphene and its remarkable properties after 2005. Since the inception of graphene, the new class of materials called 2D materials are ... -
Probabilistic source-filter model of speech
The human respiratory system plays a crucial role in breathing and swallow ing. However, it also plays an essential role in speech production, which is unique to humans. Speech production involves expelling air from the ... -
Novel Regularized Image Reconstruction Algorithms for Sparse Photoacoustic Tomography
Among all tissue imaging modalities, photo-acoustic tomography (PAT), has been getting increasing attention in the recent past due to the fact that it has high contrast, high penetrability, and has capability of retrieving ... -
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 ... -
Optimal Redundancy in Distributed Systems for Latency and Repair
Distributed systems are employed in many modern storage and computing architecture for greater reliability and cost-efficiency. There are several important considerations in the design and implementation of such distributed ... -
Quantum-Safe Identity-Based Signature Scheme in Multivariate Quadratic Setting
Cryptographic techniques are essential for the security of communication in modern society. Today, nearly all public key cryptographic schemes used in practice are based on the two problems of factoring large integers and ... -
Spectrotemporal Processing of Speech Signals Using the Riesz Transform
Speech signals possess a rich time-varying spectral content, which makes their analysis a challenging signal processing problem. Developing methods for accurate speech analysis has a direct impact on applications such as ... -
Probabilistic Forwarding of Coded Packets for Broadcasting over Networks
Motivated by applications in sensor networks and the Internet of Things (IoT), in this dissertation, we consider the problem of energy-efficient broadcasting from a source node in a large dense network. Flooding, as a ... -
A Syntactic Neural Model For Question Decomposition
Question decomposition along with single-hop Question Answering (QA) system serve as useful modules in developing multi-hop Question Answering systems, mainly because the resulting QA system is interpretable and has been ... -
Enhancing Coverage and Robustness of Database Generators
Generating synthetic databases that capture essential data characteristics of client databases is a common requirement for enterprise database vendors. This need stems from a variety of use-cases, such as application testing ... -
Acoustic-Articulatory Mapping: Analysis and Improvements with Neural Network Learning Paradigms
Human speech is one of many acoustic signals we perceive, which carries linguistic and paralinguistic (e.g., speaker identity, emotional state) information. Speech acoustics are produced as a result of different temporally ... -
Extending Program Analysis Techniques to Web Applications and Distributed Systems
Web-based applications and distributed systems are ubiquitous and indispensable today. These systems use multiple parallel machines for greater functionality, and efficient and reliable computation. At the same time they ... -
Speaker verification using whispered speech
Like neutral speech, whispered speech is one of the natural modes of speech production, and it is often used by speakers in their day-to-day life. For some people, such as laryngectomees, whispered speech is the only ...