etd AT Indian Institute of Science: Recent submissions
Now showing items 521-540 of 6749
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N-Heterocyclic Carbene-Catalyzed Enantioselective Synthesis of Dihydrothiopyranones, Functionalized Benzofurans and Extending Michael Acceptor Aldimine Umpolung
Carbenes exhibit high reactivity as divalent species with six electrons in their valence shell. Their electrophilic nature arises from an incomplete octet. However, when a heteroatom is introduced adjacent to the carbene ... -
An Energetics Perspective for the Response of the Indian Summer Monsoon to Land Processes in a Coupled General Circulation Model
The Indian summer monsoon is a coupled land-ocean-atmosphere phenomenon that supplies about 80% of the annual rainfall that the region receives. The monsoon season typically begins on June 1 st with a steep rise in rainfall ... -
Characterization of Visual Stimulus-Induced Gamma Oscillations as Signatures of Mechanisms Underlying Healthy Aging and Disease
Neural oscillations are rhythmic fluctuations in the electrical activity recorded from the brain that convey important information about brain function. Gamma oscillations, which refer to the 30–80 Hz frequency range, are ... -
Microstructure-Corrosion Property Correlation in Electrodeposited Sn and Cu Based Coating Systems
Conventional metallic coatings are widely used for protection against corrosion. This study investigates the correlation between microstructure and corrosion properties in SnCr and CuCr electrodeposited coatings. The wide ... -
Engineering Dielectric Properties of Nanomaterials
Metallic nanostructures can exhibit plasmonic modes due to coherent oscillations of the free electrons under electromagnetic excitations. Therefore, they find diverse applications in optical sensing, photonics, and ... -
Charge Transport in PEDOT:PSS and Blends
Charge transport properties and metal-insulator transition in conducting polymers de pend on doping, disorder and the complex nanomorphology. Conductivity of poly(3,4- ethylenedioxythiophene):poly(styrene-sulfonate) ... -
Peritoneal colonization of ovarian cancer
The primary cause of mortality associated with cancer is metastasis, i.e., the spread of transformed cells from the site of oncogenesis to secondary loci within the body. Epithelial ovarian cancer (EOC) is a debilitating ... -
Excitonic complexes in semiconducting monolayers and their twisted heterojunctions
Monolayers of transition metal dichalcogenides (TMDCs) host excitons, a bound state of electron and hole. Excitonic many-body complexes dominate the optical spectra obtained from this system and manipulating these complexes ... -
Translation in Erythroid cells
Erythrocytes are specialized cells that perform the crucial function of gas exchange in all vertebrates. Regulation of gene expression was believed to be absent in these cells due to the absence of nucleus. It was also ... -
Investigations on the Use of Mems-imu Sensors for Manual 2D and 3D Ultrasound Imaging
Ultrasound imaging is a safe medical imaging technique with many applications in medical diagnostics. MEMS-IMUs being small-size, low-cost, low-power devices suitable for accurate orientation estimation, the chances of ... -
Evaluating routine biochemical parameters for breast cancer detection in Indian women: A machine learning approach
Breast cancer stands as the leading cancer type among Indian women, with a mortality rate that surpasses that of nations such as the USA, Australia, and the UK. The higher mortality rate is largely explained by a lack of ... -
Development of Novel Deep Learning Models with Improved Generalizability for Medical Image Analysis
Medical imaging is a process of visualization of disease/tissue in a non-invasive manner. Several imaging techniques like computed tomography (CT), magnetic resonance imaging (MRI), optical coherence tomography (OCT), and ... -
Exploring Welfare Maximization and Fairness in Participatory Budgeting
Participatory budgeting (PB) is a voting paradigm for distributing a divisible resource, usually called a budget, among a set of projects by aggregating the preferences of individuals over these projects. It is implemented ... -
Specification Synthesis with Constrained Horn Clauses
Many practical problems in software development, verification and testing rely on specifications. The problem of specification synthesis is to automatically find relational constraints for undefined functions, called ... -
Investigating Ocular and EEG parameters for pilot’s cognitive load estimation using flight simulators
Present day aircraft systems are becoming incredibly complicated with the advent of new technologies. As per International civil aviation organization’s safety report, failure of mechanical or any physical hardware has ... -
Generalized Likelihood Ratio Procedures for Early Detection of Machine Faults
Condition monitoring of industrial machinery is an important example of a cyber physical system (CPS), in which measurements on a machine, transmitted over a wireless network, are used to make inferences about the health ... -
Maximum Independent Set of Rectangles - An Empirical Study
We study the Maximum Independent Set of Rectangles (MISR) problem. The problem involves a collection of n axis-parallel rectangles in 2D with weights. For the unweighted case, the goal is to find the maximum number of ... -
Insights into the genesis and dynamics of the solar spicule forest: aided by simulations and laboratory experiments
The solar atmosphere is embedded with an enormous no of plasma structures with a vast range of spatial and temporal scales. Solar spicules are one of such ubiquitous features of the sun, which are present in millions ... -
A Few Case Studies of CO2 and O2 Electrocatalysis in Energy Storage
Li-ion batteries has been a resounding success in the domain of portable applications such as electronic devices and are being increasingly explored in electric vehicles and grid storage. Conventional Li-ion batteries ... -
Explorations in Quantum Machine Learning
Quantum Machine Learning is a rapidly developing field. In part 1 of this thesis, I benchmark common QML methods with the most popular datasets used in classical ML. I compare results from quantum and classical methods and ...