etd AT Indian Institute of Science: Recent submissions
Now showing items 981-1000 of 6752
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Relating Representations in Deep Learning and the Brain
Deep Neural Networks (DNN) inspired by the human brain have redefined the state-of-the-art performance in AI during the past decade. Much of the research is still trying to understand and explain the function of these ... -
Analysis of vocal sounds in asthmatic patients
Around 334 million people have asthma worldwide. Asthma is an inflammatory disease of the airways which causes cough, breathlessness, chest tightness, and other peculiar sounds during breathing. The golden standard test ... -
Investigations on Capacitor Size Reduction and PWM Strategy for Multilevel Polygonal Space Vector Structure for Induction Motor Drives
Multilevel voltage source inverter transformed conversion of DC to AC for medium to high power application. With increasing electric power demand, the multilevel converter allows high power density converters for medium ... -
Deploying an Orthogonal Turn for Isolation of Rare Cell Populations from Vascular Environments
Cancer cells are shed from metastatic primary tumors, bearing the potential for blood-borne metastasis to distant vital organs. Metastasis is predominantly responsible for cancer-related deaths. These circulating tumor ... -
Insights into the conformational stability & pharmacology of peptides through side chain and backbone modification
The first part of the work presented in the thesis deals with CH-pi interaction, which is a lesser-known non-covalent interaction in proteins. We identified several CH-pi donor-acceptor pairs involving amino acids side ... -
Provably Convergent Algorithms for Denoiser-Driven Image Regularization
Some fundamental reconstruction tasks in image processing can be posed as an inverse problem where we are required to invert a given forward model. For example, in deblurring and superresolution, the ground-truth image ... -
Weights of highest weight modules over Kac-Moody algebras
In this dissertation, broadly, we treat the weight-sets of arbitrary highest weight modules (uniformly) over all general complex Kac-Moody Lie algebras $\mathfrak{g}$, achieving the below. We obtain a uniform, explicit, ... -
Theory and Algorithms for sequential non-Gaussian Bayesian filtering and estimation
Seamless integration of dynamical system models with sparse measurements, called as Data Assimilation, is important in many applications like weather forecasting, socio-economics, navigation, and beyond. In order to produce ... -
Multi-layered Composite Structures for Electromagnetic Interference Shielding Applications
With the recent surge in the usage of electronic devices, electromagnetic interference (EMI) poses a serious threat. Unwanted electromagnetic (EM) waves not only interfere with the normal functioning of electronic components, ... -
Algorithms and Testbed for Synchronous Generator Parameter Estimation
The development of dynamic power system component models became increasingly important in the modern grids dominated by high penetration of renewables because of the increased dependency of planning and operational decisions ... -
Fast Algorithms for Max Cut on Geometric Intersection Graphs
In this work, we design fast algorithms for max cut on geometric intersection graphs. In the maximum cut (a.k.a., max cut) problem, the input is an undirected graph, and the goal is to partition the vertex set into two ... -
Improved air-tissue boundary segmentation in real-time magnetic resonance imaging videos using speech articulator specific error criterion
Real-time Magnetic Resonance Imaging (rtMRI) is a tool used exhaustively in speech science and linguistics to understand the dynamics of the speech production process across languages and health conditions. rtMRI has two ... -
Information Rates over Point-to-Point and Multi-user Wireless Channels with Energy and Delay Constraints
In this thesis, we consider communication systems having energy, delay and reliability constraints. We characterize optimal communication rates achievable over these systems. First we consider point-to-point communication ... -
A Context-Aware Neural Approach for Explainable Citation Link Prediction
Citations have become an integral part of scientific publications. They play a crucial role in supporting authors’ claims throughout a scientific paper. However, citing related work is a challenging and laborious task, ... -
PDMS-Based Nanocomposite for EMI Shielding application
Lightweight, flexible, and easy-to-integrate solutions are in great demand in electronic devices. The present work deals with the preparation of Poly dimethyl siloxane (PDMS) based nanocomposite for suppressing electromagnetic ... -
Probabilistic design and optimization of foundations on cohesionless soil using surrogate models
The design of foundations depends on the properties of soil, which are affected by various forms of uncertainties. These uncertainties affect the foundation performance and hence are considered in the deterministic design ... -
A Study of the X-ray Variability and Accretion Mechanism in High Mass X-ray Binary Pulsars
High-mass X-ray binaries are among the most luminous X-ray sources. They host an accreting compact object (more often a neutron star) and a massive (M > 10 M⊙) donor star. They are among the earliest discovered X-ray sources ... -
Device-Circuit Reliability Co-Design in High voltage and Power devices
For the last four decades, silicon CMOS technology has captured a significant share in IC, smart power IC, SoC, and the power device market. But there is aggressive research on other materials such as graphene & similar ... -
A Novel Passive Regenerative Snubber for the Phase-Shifted Full-Bridge Converter: Analysis, Design and Experimental Verification
The development of Wide Bandgap (WBG) devices has enabled power electronic converters to operate at much higher frequencies, voltages and high power. Working at a higher switching frequency minimises the size of magnetics ... -
Dynamics of Quantum Supercooled Liquids: A Mode Coupling Approach
In this thesis, I use the quantum mode coupling theory (QMCT) formulation to study the dynamics in a supercooled liquid to understand how quantum fluctuations affect the liquid-glass transition. I calculate the Kubo-transformed ...