etd AT Indian Institute of Science: Recent submissions
Now showing items 1081-1100 of 6860
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Landmark Estimation and Image Synthesis Guidance using Self-Supervised Networks
The exponential rise in the availability of data over the past decade has fuelled research in deep learning. While supervised deep learning models achieve near-human performance using annotated data, it comes with an ... -
Towards Robust and Scalable Video Surveillance: Cross-modal and Domain Generalizable Person Re-identification
With rapid technological advances, one can easily find video surveillance systems deployed in public places such as malls, airports etc. as well as across private residential areas. These systems play a critical role in ... -
Investigation of Psychrophilic SUMO Proteases: Towards a More Efficient SUMO Protease at Lower Temperature
Covalent attachment of the fusion protein, Small Ubiquitin-like modifier (SUMO), to recalcitrant target proteins (especially transmembrane proteins) make purification of the target protein much easier by enhancing its ... -
Investigating Mechanical Properties of Suspended Ovarian Cancer Cells and Clusters
The peritoneal cavity of a patient suffering from advanced epithelial ovarian cancer is filled with disseminated multicellular aggregates, commonly known as spheroids. These spheroids colonize abdominal organs leading to ... -
Low delay file transmissions over power constrained quasi-static fading channels
The ubiquitous deployment of battery-operated wireless devices has resulted in the need for efficient low latency power allocation schemes. A common phenomenon in wireless transmission systems is congestion, where the ... -
Approaches to Regional Analysis of Hydro-Meteorological Processes and Extremes
Regional analysis of hydrometeorological variables (e.g., evapotranspiration, precipitation), hydrological processes (e.g., runoff), and their extremes (e.g., drought, floods) is essential for various applications. The ... -
Studies on BODIPY Appended Ruthenium(II) Complexes for Bioimaging and Photodynamic Therapy Applications
Photodynamic therapy (PDT) is a medical technique that utilizes light, oxygen, and a photosensitizer to treat several medical conditions, including cancer. Because of the limitations and side effects of traditional anticancer ... -
Prediction of Dynamical Systems by Constraining the Dynamics on the Observational Manifold
Evolution models of dynamical systems posed as differential equations generally do not include all the factors affecting the system. This leads to a mismatch between the model prediction and the observations. In this work, ... -
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 ...