etd AT Indian Institute of Science: Recent submissions
Now showing items 641-660 of 7574
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Millimeter Wave Beam Selection in Time-varying Channels with Orientation Changes and Lateral Mobility
Beamforming enables millimeter-wave (mmWave) communications to achieve high data rates in 5G and beyond systems. This requires the use of many narrow directional beams at both the transmitter and receiver to overcome the ... -
Dynamics of Single Shallow Arches and Statics of Connected Shallow Arches and their Applications
The methods developed in this thesis enable computationally efficient dynamic analysis of shallow arches. They also facilitate insightful design of arches for different applications. The first design study considers ... -
Mapping class group dynamics, relative character varieties and hyperbolic cone surfaces
This thesis concerns the punctured surface group representations into $\pslr$ and $\pslc$. We study the action of mapping class group on the relative character varieties of punctured surface groups into $\pslr$ and $\pslc$. ... -
Genomics-based Assessments of Stemness and DNA Damage Response in Oral Cancer
Gingivobuccal oral squamous cell carcinoma (OSCC-GB) is a prominent clinical subtype of head and neck squamous cell carcinoma in India, predominantly affecting habitual users of smokeless tobacco. The genetic basis of ... -
Exploring and Targeting Dysregulated GPCRs in Glioblastoma: A Comprehensive Investigation
G protein–coupled receptors (GPCRs) represent the largest family of membrane receptors and are key regulators of cellular signaling. While extensively targeted in various diseases, their potential in oncology especially ... -
Role of buoyancy in driving upper ocean mixing across timescales
This thesis explores the response of the upper ocean to surface buoyancy fluxes on different timescales using theory, numerical simulations and observation-based datasets. First, we investigate the role of evaporation in ... -
Multi-timescale and Multi-agent Reinforcement Learning Algorithms
This thesis presents six novel works involving several research domains, such as reinforcement learning (RL)– both with or without function approximators including deep neural networks, multi-agent RL, stochastic optimization, ... -
High-Velocity Skyrmions : Engineering, Memristors and Random Number Generation
Non-collinear spin textures have become very important in both fundamental research and technology. One of the most interesting examples of these textures is the skyrmion. A skyrmion is a small, vortex-like spin pattern ... -
Transition metal nanoparticles embedded carbonaceous framework for electrocatalysis and zinc air batteries
As the world’s energy demand grows and environmental challenges mount, there is a growing push to find sustainable energy sources and efficient solutions for energy conversion, such as water splitting, fuel cells, ... -
Development of a novel LPG/PNG domestic burner for high efficiency and low emissions
Domestic cooking is one of the basic human needs, and cookstoves based on fuel combustion are widely used. LPG (Liquified Petroleum Gas) is the most common cooking fuel, followed by PNG (Piped Natural Gas), which has an ... -
Development of Generalizable Spiking Neural Network-Based Learning Frameworks For Solving Perimeter Defense Problem
Spiking Neural Networks (SNNs) are third-generation neural networks that can process information in a more biologically realistic way compared to other neural networks such as sigmoidal networks. They process the information ... -
CHARGE: Accelerating GNN Training via CPU Sampling in Heterogeneous CPU–GPU Environment
Graph Neural Networks (GNNs) have demonstrated exceptional performance across a wide range of applications, driving their widespread adoption. Current frameworks employ CPU and GPU resources—either in isolation or ... -
Studies on Solid State- and Photorechargeable- Batteries: From Interface Engineering to Material Design
Research work presented in the thesis involves fundamental studies on photorechargeable and solid-state energy storage devices. Lead-free perovskite (CsBi3I10) and a mixed chalcogenide (MoSeTe) based electrodes lead to ... -
Quantifying the past and future variability in the Bay of Bengal using statistical and deep learning methods
The Bay of Bengal, the world's largest bay, along with the Andaman Sea, a peripheral sea situated in the southeastern part of the bay, is crucial to the economic and maritime security of India. Understanding the dynamics ... -
Digitalisation of the Quality Management System in the Medical Device Industry for Certification
The Indian medical device manufacturing sector is rapidly growing yet faces persistent challenges related to regulatory compliance, limited access to advanced technologies, and economic constraints. These issues are ... -
Developmental Studies on Polymeric Nano/Micro Composite Insulation for Various High Voltage Power Applications
The demand for electrical power is increasing day by day necessitating a higher voltage level for power transmission. Also the use of cast resin type dry transformers of compact size for use in confined areas and in certain ... -
Coupled electro-opto-mechanical oscillations in neuristors
Action potentials (AP) in biological neurons, measured through electrophysiological techniques, are electrical signals that emerge and propagate along the axonal membrane. It has been shown that close to the temperatures ... -
Design and Performance Optimization of Power Converters for Energy Storage Systems
Energy shortages and power outages are key concerns today, exacerbated by rising energy demands and the global imperative for clean energy and decarbonization. Energy storage systems (ESS) traditionally address both long-term ... -
Going Beyond Pairwise Relationships: Representation Learning on Simplicial Complexes
Relational data appear naturally in many real-world applications and can be modeled using mathematical structures known as graphs. Graphs model entities as nodes and their pairwise relations or interactions as edges. For ... -
A higher order finite volume discretization based on Staggered Update Procedure (SUP)
The unstructured data-based finite volume solvers are widely adopted in industrial computations owing to their robustness and flexibility in handling complex geometries. Most of these solvers use linear reconstruction ...