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Development of Novel Deep Learning Models with Improved Generalizability for Medical Image Analysis
Medical imaging is a process of visualization of disease/tissue in a non-invasive manner. Several imaging techniques like computed tomography (CT), magnetic resonance imaging (MRI), optical coherence tomography (OCT), and ...
New Dimension in Senescence: Unraveling Cellular Senescence in Three-Dimensional Scaffolds
Aging is a ubiquitous process that results in the progressive and irreversible loss of
function. It is induced by accumulating damage caused by a variety of stressors, both internal
and external. Although the advancement ...
Evaluating routine biochemical parameters for breast cancer detection in Indian women: A machine learning approach
Breast cancer stands as the leading cancer type among Indian women, with a mortality rate that surpasses that of nations such as the USA, Australia, and the UK. The higher mortality rate is largely explained by a lack of ...
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 ...
Food and Nutritional Status: Overall Assessment and COVID-19 Studies
Malnutrition remains a global health concern, especially in India with high child mortality rates. While some studies examine nutrient inadequacy in a child’s diets, a lack of comprehensive assessment of underlying ecosystem ...
Integrating Coarse Semantic Information with Deep Image Representations for Object Localization, Model Generalization and Efficient Training
Coarse semantic features are abstract descriptors capturing broad semantic information in an
image, including scene labels, crude contextual relationships between objects in the scene, or
even objects described using ...
Investigations on Flow in Supercritical CO2 Ejectors
Adopting natural eco-friendly refrigerant carbon dioxide (CO2) in energy conversion devices is gaining prominence globally. Supersonic ejectors are passive devices that energize and compress a secondary stream using a ...
Gallium Oxide based High Voltage Diode : Design, Fabrication, Characterization and Modelling
High-efficiency power electronic devices intend to play a significant role in curbing global warming and enhancing energy conservation. Owing to its superior material properties, Gallium oxide (Ga2O3) has emerged as a new ...
Development of a Structural Model with Prioritizing and Ranking of Vital Enablers for Successful Adoption of Lean Production System in Indian SME
In today's competitive global business environment, every businesses must refine their manufacturing strategies to survive and thrive. Among various manufacturing strategies, the Lean Production System (LPS) stands out as ...
A divide-and-conquer distance geometry method to model protein structures from NMR spectroscopy
Nuclear Magnetic Resonance (NMR) spectroscopy provides insights into the dynamic behavior of proteins in solution, eliminating the need for crystallization. NMR experiments can spatially probe nuclei within 6 Angstroms of ...