etd AT Indian Institute of Science: Recent submissions
Now showing items 161-180 of 6565
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Frequent Episode Mining: Efficient Discovery Algorithms and Significance Analysis
Frequent Pattern mining is a popular area of data mining, where the goal is to unearth interesting patterns that occur often in a given data. A pattern is a local structure that captures correlations and dependencies present ... -
Estimation of flashovers in the EHV/UHV lines on the east coast due to lightning produced by the Bay of Bengal cyclones
Electric Power is imperative for the modern world. The quality and reliability of the power supply can be impaired by several factors. Lightning is one such natural threat that disrupts the continuity of supply and can ... -
Audio-Visual association learning in Humans and Multimodal Networks
We easily learn audiovisual associations when we give visual objects their names. While humans easily learn the names of new objects while retaining previously learned information, deep neural networks forget old ... -
Unleashing the Potential of Nanomaterials in Organic Synthesis: QD-based Photocatalysis and AuNP-catalysed Cascade Rearrangement Reaction
The thesis titled Unleashing the Potential of Nanomaterials in Organic Synthesis: QD-based Photocatalysis and AuNP-catalysed Cascade Rearrangement Reaction explores innovative strategies for organic synthesis using ... -
On the Origin of Parasitic (Electro)Chemistry in Rechargeable Aprotic Metal-Oxygen Batteries
Aprotic metal-oxygen batteries, especially Li-O2 and Na-O2 batteries, could afford theoretical specific energies in excess of 1000 Wh/kg. However, the practical realization of the theoretically possible high specific ... -
Computational investigation of peripheral membrane protein "Pleckstrin homology domain" and its regulation
The peripheral membrane protein repertoire is around 25% composed of the Pleckstrin homology domain (PHD). PHD are component of the multidomain protein and plays the role of an adaptor in recruitment of these proteins ... -
Chemical Vapour Deposition of Tungsten Disulphide Aided by Thermodynamic and Density Functional Theory Modelling
Transition metal dichalcogenides (TMDs) are versatile materials that offer a wide variety of applications in electronics, sensing, energy, etc. Tungsten disulphide (WS2) is a layered semiconductor TMD with impressive ... -
Intelligent Methods for Cloud Workload Orchestration in Data Centers
Cloud workload orchestration plays a pivotal role in optimizing the performance, resource utilization, and cost effectiveness of applications in data centers. As modern businesses and IT operations are migrating their ... -
Realization of Type-II Dirac Semi-metal in NiTe2 using Structural, Electrical and Magnetic Investigation
Dirac semimetal (DSM) is a topological semi-metal with a fourfold degenerate linear band crossing in the bulk, in the presence of time-reversal symmetry and inversion symme- try, exhibiting nontrivial spin-momentum locking ... -
Microwave Spectroscopic and Computational Studies on Hydrogen-Bonded Complexes
Hydrogen bonding and van der Waals interactions are key contributors to numerous biological phenomena and have significant implications in synthetic chemistry as well. In supramolecular chemistry and crystal engineering, ... -
Regress-Later with Interpretable Neural Networks for Pricing, Static hedging and Exposure management of Financial Derivatives
In the past two decades, there has been a significant growth in the trading of financial derivatives, witnessed in both Centralised Exchange and Over-The-Counter (OTC) markets. One of the main reasons for this growth is ... -
From Multidimensional non-Markovian Rate Theory to Diffusion-Entropy Scaling and Investigations into the validity of Hydrodynamic Stokes Law
Multidimensional rate theory provides a theoretical framework for understanding chemical reactions that occur in systems with more than one reaction coordinate, such as isomerization reactions, protein folding, or electron ... -
Exploring Fairness and Causality in Online Decision-Making
Online decision-making under uncertainty is a fundamental aspect of numerous real-world problems across various domains, including online resource allocation, crowd-sourcing, and online advertising. Multi-Armed Bandits ... -
Development of Dual Converters with DC Circuit breaker for DC Distribution Systems
Solar energy is rapidly gaining popularity due to its sustainability, clean, and wide availability. Adopting solar energy on a global scale can pave the way for a greener and more sustainable world, aligning with the goals ... -
Revisiting the General Circulation of the Tropics
This thesis examines some aspects of the tropical general circulation. First, we consider the zonal momentum budget of the tropical upper troposphere. Our motivation is the zonal inhomogeneity of the Earth that presents ... -
Structural insight into unique features of the Translational apparatus in Plants
Plants are constantly challenged with a variety of biotic and abiotic stress conditions. Being sessile, plants cannot evade these conditions. Most of these sudden changes in environmental conditions require a quick change ... -
Design and Development of Optical Modality-based Probe for Breast Cancer Diagnosis
Breast Cancer is the leading cause of mortality among women worldwide. The key to efficiently controlling cancer on a larger scale is effective diagnosis at an early stage by distinguishing the vital signatures of the ... -
Multi-component Gas Mixture Separation: Fundamental Studies to Pilot Scale Development and Characterization
Climate change has become one of the significant challenges of the 21st century resulting in increased demand for low-carbon energy carriers to achieve a sustainable future. Thermo-chemical conversion of environmentally ... -
Nanoscale spatial and temporal response of lipid membranes interacting with biomolecules and nanoparticles
The cell membrane is the first point of interaction whenever any external biomolecule or nanoparticle encounters a cell. Thus the nature of interactions between the cell membrane and various proteins, nanoparticles, and ... -
Automatic Speech Recognition Solutions For Resource Constrained Devices
The current realm of Automatic Speech Recognition (ASR) systems, pivotal in applications ranging from voice assistants to transcription services and assistive technologies, requires an improvement when confronted with ...