Browsing Division of Interdisciplinary Research by thesis submitted date"2022"
Now showing items 1-20 of 57
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Accelerating Estimation of Perfusion Maps in Contrast X-ray Computed Tomography using Many-core CPUs and GPUs
X-ray Computed Tomography (CT) perfusion imaging is a non-invasive medical imaging modality that has been established as a fast and economical method for diagnosing cerebrovascular diseases such as acute ischemia, sub-arachnoid ... -
Analyses of Performance, Risk and Underpricing of Indian IPOs
Across geographies, unlisted firms raise capital from individuals and institutions by issuing Initial Public Offering (IPO) through finanical markets. IPOs are of great interest to investors, regulators, issuing firms and ... -
Analysis of vocal sounds in asthmatic patients
Around 334 million people have asthma worldwide. Asthma is an inflammatory disease of the airways which causes cough, breathlessness, chest tightness, and other peculiar sounds during breathing. The golden standard test ... -
Anthropogenic Influence on River Water Quality
Anthropogenic factors such as climate change, land use land cover change and industrial and population growth can influence river water quality. Climate change affects water quality due to changes in stream temperature and ... -
Augmenting Hyperspectral Image Unmixing Models Using Spatial Correlation, Spectral Variability, And Sparsity
Hyperspectral imaging sensors sample sunlight reflected from different targets on Earth's surface by utilising a series of contiguous narrow spectral channels. The higher spectral resolution of hyperspectral images (HSIs) ... -
Communication Overlapping Krylov Subspace Methods for Distributed Memory Systems
Many high performance computing applications in computational fluid dynamics, electromagnetics etc. need to solve a linear system of equations $Ax=b$. For linear systems where $A$ is generally large and sparse, Krylov ... -
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 ... -
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 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 ... -
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 ... -
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 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 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 of Increasing Block Tariff (IBT) for Pricing Domestic Water: A Simulation Approach
In recent times, urban water utilities have shown increasing preference for increasing block tariff (IBT) for pricing domestic water. Although appealing at the outset, IBT’s can fall short of achieving its goals such as ... -
Design, Development and Testing of Cervical Dilatation Measurement System
Monitoring labour progression is of utmost importance, to avoid complications during childbirth. Frequent monitoring allows prevention, identification, and management of complications during childbirth. Improper monitoring ... -
Developing an Analytical Model to Predict Customer Churn for Customer Satisfaction (CS) and Customer Loyalty (CL) with respect to Automobile After Sales Service Centres (AASSC)
Customer Satisfaction has always been a key to success for any automobile after sales service centre (AASSC). To retain customer satisfaction (CS) and customer loyalty (CL), it is crucial for any AASSC to track the important ... -
Development of High-Performance Piezoelectric Micromachined Transducers for Near Ultrasound
Near-ultrasound refers to sound with frequencies just above the range of human hearing, from about 18 to 40 kHz. This band is rarely used for typical ultrasound applications and is ignored for all except the most demanding ... -
Development of Novel Deep Learning Methods for Fast-MRI: Anatomical Image Reconstruction to Quantitative Imaging
In medical imaging, the task of estimating interpretable anatomical images from raw scanner data - based on underlying physical principles - is known as an "inverse problem". The solution to such inverse problems can be ... -
Development of Solution Methodologies for Berth Allocation Problem with Discrete Berth Layout (DBL), Dynamic Arrival of Vessels (DAV), Deterministic Handling Time (DHT) of Vessels, Vessel Time Windows (VTW) and Vessel Eligibility Criteria (VEC)
The Container Terminal (CT) act as an important node in a supply chain industry that connects water and land for transportation of the containers carrying goods. A CT facilitates a vessel by allocating a berth for unloading ...