Browsing Division of Interdisciplinary Research by Title
Now showing items 101-120 of 538
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Correlation between Morphology, Microstructure and Corrosion Behaviour of Nickel-Phosphorous (Ni-P) Based Electrodeposited Coatings
The Ni-P alloy coatings are widely studied due to their superior mechanical and tribological properties. Ni-P coatings are also considered to be a viable alternative to the chromium (Cr) coatings which utilize environmentally ... -
Cricket Inspired micro Speakers
MEMS technology has ushered in a new era of miniaturized sensors and actuators. Many smart devices and systems are being developed using these sensors. Home automation is now a widespread reality owing to the development ... -
Cryomilled Group IV elements (Silicon & Germanium) for optoelectronic applications
Group IV elements such as silicon and germanium are elemental semiconductors and lead to the evolution of modern electronic applications. Synthesis of contamination-free nanoparticles of these materials in bulk quantity ... -
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, ...