Browsing by thesis submitted date"2022"
Now showing items 41-60 of 332
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Correlation Between Microstructure and Corrosion Properties of Electrodeposited Nickel and Zinc Based Coatings
Conventional metallic coatings such as Ni and Zn are extensively used in corrosion protection applications. In most studies on the corrosion behavior of metallic coatings, the emphasis is on correlating morphology and ... -
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 Domain Generalization
Deep neural networks has brought tremendous success in many areas of computer vision, such as image classification, retrieval, segmentation , etc. However, this success is mostly measured under two conditions namely (1) ... -
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 ... -
Deciphering the mechanisms employed by Salmonella to mediate modulation of host endo-lysosomal machinery
Salmonella genus encompasses Gram-negative, rod-shaped, facultative anaerobic, non-sporulating, and predominantly motile enteric bacteria. It causes pathogenesis in a wide array of hosts, from cold-blooded animals to humans ... -
Decoding Epigenetic Regulators in Cancer: Acetylation of HIF2A by Histone Acetyltransferase 1 (HAT1) is essential for executing hypoxia response in glioma
Gliomas are tumors of the central nervous system arising from glial cells. Based on the origin of the cell type, it can be astrocytoma, oligodendroglioma, and ependymoma. Astrocytoma is the most common type of glioma, ... -
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 ... -
Deep learning methods for light fluence compensation in two-dimensional and three-dimensional photoacoustic imaging
Photoacoustic imaging (PAI) employed the special properties of light or photons to obtain detailed images of organs, tissues, cells, and even molecules. The method allowed for a non-invasive or minimally invasive examination ... -
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 ... -
Deformation characteristics of soil under sequential dynamic torsional and cyclic axial loading
Earthquake-induced structural damages caused due to site effects, soil liquefaction failure, and associated excessive settlement are well-known worldwide. The primary controlling factor responsible for the superstructure’s ... -
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 Characterisation of Rotating Gliding Arc Reactor for Dilute Hydrocarbon Conversion Applications: Experiments and Simulations Studies
In recent years, non-thermal plasma technology is becoming popular for chemical applications involving conversion/abatement/decomposition of compounds of interest. The specialty of non-thermal plasmas is to activate chemical ... -
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 an Intubation Catheter Integrated with MEMS-based Sensors for Central Airway Obstruction
Airway pathology leads to alteration in fluid flow, tissue biomechanics, and loss of patency. To address this clinical challenge, we developed an intraoperative tool to locate the site of obstruction, characterize tracheal ... -
Design and Development of Hybrid Metal and Polymer Additive Manufacturing System
Additive manufacturing (AM) is a layer-based manufacturing process aimed at producing parts directly from a Computer-aided design (CAD) model. There are various types of AM systems, which can be classified based on: (i) ... -
Design and Development of Implantable Electrode Arrays for Recording Signals from Rat’s Brain
Seizure is a neurological disorder due to abnormal, excessive, and hypersynchronous discharges from an aggregate of central nervous system neurons. Epilepsy describes the clinical phenomena of a condition of recurrent and ... -
Design and development of lateral force-controlled tribosystems
In a tribo-system, the frictional resistance during a sliding process depends on several parameters. These parameters include the interacting materials, their surface topography, contact conditions such as normal load, ... -
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 Performance Investigation of Supersonic Air-Intakes
Supersonic air-intake is an essential component of a ramjet engine. Typically, a ramjet powered missile that operate over a range of Mach numbers and maneuverability conditions uses a fixed geometry intake to ensure ...