Browsing Division of Interdisciplinary Research by Title
Now showing items 104-123 of 530
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Data Driven Stabilization Schemes for Singularly Perturbed Differential Equations
This thesis presents a novel way of leveraging Artificial Neural Network (ANN) to aid conventional numerical techniques for solving Singularly Perturbed Differential Equation (SPDE). SPDEs are challenging to solve with ... -
Data Perspectives of Workflow Schema Evolution : Cases of Task Deletion and Insertion
(2018-03-19)Dynamic changes in the business environment requires their business process to be up-to-date. The Workflow Management Systems supporting these business processes need to adapt to these changes rapidly. The Work Flow ... -
Data-efficient Deep Learning Algorithms for Computer Vision Applications
The performance of any deep learning model depends heavily on the quantity and quality of the available training data. The generalization of the trained deep models improves with the availability of a large number of ... -
Deep Convolutional and Generative Networks for Ocean Synoptic Feature Extraction and Super Resolution from Remotely Sensed Images
Accurate extraction of Synoptic Ocean Features and Downscaling of Ocean Features is crucial for climate studies and the operational forecasting of ocean systems. With the advancement of space and sensor technologies, the ... -
Deep Learning for Hand-drawn Sketches: Analysis, Synthesis and Cognitive Process Models
Deep Learning-based object category understanding is an important and active area of research in Computer Vision. Most work in this area has predominantly focused on the portion of depiction spectrum consisting of ... -
Deep Learning in Computer Vision: Studies in Neuro-image Segmentation and Satellite Image Super-resolution
Single image super-resolution (SR) has been a topic of great interest in the computer vision and deep learning community and has found applications in many areas including quality enhancement of satellite images. As the ... -
Deep Visual Representations: A study on Augmentation, Visualization, and Robustness
Deep neural networks have resulted in unprecedented performances for various learning tasks. Particularly, Convolutional Neural Networks (CNNs) are shown to learn representations that can efficiently discriminate hundreds ... -
Deeply Scaled InAlN/GaN-on-Silicon High Electron Mobility Transistors for RF Applications
Wide bandgap gallium nitride (GaN) based high electron mobility transistors (HEMTs) are promising candidates for next-generation radio frequency (RF) power amplifier applications owing to high electron saturation velocity ... -
Deliberations on Borrower Behaviour in the Context of Micro-finance
Micro-finance, a popular tool for poverty alleviation, has witnessed a cycle of reaching out to the credit strapped, recording high recovery rates, scaling up exponentially and facing mass defaults, world-over. The two ... -
Delineating the dynamics of neutrophil response in multiple inflammatory stimuli and its consequences
In this thesis, we investigate the regulation of neutrophils, an important component of the immune system, and its implications on inflammation and pathological conditions. We use biomaterial implants to induce chronic ... -
Demand Response Planning in a Transitioning Electricity System
Globally, the electricity systems are undergoing major transitions from robust, carbon intensive, and firm power conventional systems to uncertain, intermittent and variable renewable energy integrated low carbon systems. ... -
Density Stratified Thermal Energy Storage System and Associated Fluid Dynamic Perturbations
The hunger of humankind for energy has reached unprecedented levels with the ever-rising industrialization and global population surge. We are witnessing a global economic evolution towards a clean, affordable, sustainable ... -
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 ... -
Design and Analysis of Random Access Protocols for Massive Machine-Type Communications
Massive machine-type communications (mMTC) is a 5G and beyond use case, where the network is expected to serve millions of devices per square kilometre. Typical mMTC devices include smart energy meters, pressure sensors, ... -
Design and Development of a Semi-automated System for Electro-thermo-mechanical (Etm) Phenotyping of Breast Tissues Ex-vivo
Breast cancer currently accounts for 25% of all cancers diagnosed in women globally. The conventional confirmatory diagnosis of breast cancer involves histological analysis using hematoxylin and eosin (H&E) staining, ... -
Design and development of high speed optical modulator on silicon-on-insulator platform
Optical communication has transformed information technology and enabled the present-day data explosion. The new era of data centric society is primarily driven by the ability to communicate data at high-speed. Migration ... -
Design and Development of Non-Intrusive Load Monitoring Techniques and Solar Photovoltaic-Thermoelectric Hybrid Energy Conversion Systems
Standalone Solar Photovoltaic (PV) Systems are deployed where access to the conventional Electric Grid is not present. It is necessary to extract most of the available power from the Solar PV modules as the supply is ... -
Design and Synthesis of Low Band Gap Ambient Stable Organic Semiconductors for Photovoltaics
Organic photovoltaics is a fast-developing technology and has the potential to revolutionize the energy market. In the recent years, high photoconversion efficiency has been achieved through continuous efforts on design ... -
Design and Tailoring of Polymer Composite Ultra-thin Films for Electromagnetic Interference Shielding
Electromagnetic interference (EMI) is a serious issue. Lightweight, flexible polymer nanocomposite materials have been a key interest for EMI shielding and microwave absorption due to many advantages over traditionally ...