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    Deep Learning for Hand-drawn Sketches: Analysis, Synthesis and Cognitive Process Models 

    Sarvadevabhatla, Ravi Kiran
    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 ...

    Nanostructured Metal Oxide Semiconductor Gas Sensor 

    Benedict, Samatha
    Gas sensors play a vital role in today’s world; be it in pollution monitoring, breath analysis, food quality monitoring or in agriculture. A variety of methods are being explored to develop reliable gas sensor systems such ...

    Development of anti-infective therapy against intracellular pathogens using targeted particulate delivery systems 

    Mudakavi, Rajeev J
    Pathogens from bacterial class: Salmonella, Mycobacterium tuberculosis, Listeria can survive and replicate intracellularly. While some pathogens remain cytosolic others such as Salmonella and Mycobacterium tuberculosis ...

    Investigations into the changes in biomechanics of liver cells upon HCV infection 

    Balakrishnan, Sreenath
    Biomechanics is an important regulator of cell function. Active (external forces) as well as passive (substrate stiffness) mechanical stimuli from the cell microenvironment can alter fundamental aspects of cell function ...

    Development of advanced regularization methods to improve photoacoustic tomography 

    Sanny, Dween Rabius
    Photoacoustic tomography (PAT) is a scalable imaging modality having huge potential for imaging biological samples at very high depth to resolution ratio, thereby playing pivotal role in the areas of neuroscience, ...

    Heterogeneous Integration of Device Grade Epitaxial Germanium on Silicon Platform using Laser-Induced Crystallization for Optoelectronic Applications 

    Kumari, Khushboo
    Integration of germanium on silicon platform has applications in III-V photovoltaics, integrated silicon photonics, high-speed transistors, etc. In this work, we have used laser-induced crystallization (LIC) to obtain ...

    Development of Novel Deep Learning Methods for Fast-MRI: Anatomical Image Reconstruction to Quantitative Imaging 

    Rastogi, Aditya
    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 ...

    Design and Development of Non-Intrusive Load Monitoring Techniques and Solar Photovoltaic-Thermoelectric Hybrid Energy Conversion Systems 

    Raiker, Gautam Anil
    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 ...

    Polyurethane based Self-healing Nanocomposites for Electromagnetic Interference Shielding Applications 

    Menon, Aishwarya Vijayan
    An augmentation in the growth of modern electronics and telecommunication has led to an increase in electromagnetic interference (EMI) as its aftermath. Device malfunctioning, unwanted noise and radio leakage are the direct ...

    Development of Piezoelectric Ultrasound Transducers for Novel Applications 

    Roy, Kaustav
    Ultrasound is a scientific miracle with its magical contributions in almost all the branches of modern-day technology. It all started with the discovery of the ‘piezoelectric effect’ by the Curie brothers, who demonstrated ...
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    AuthorKumar, Vikash (2)Abhishek, A (1)Abraham, Anand Jacob (1)Addepalli, Sravanti (1)Adiga, Varun (1)Aggarwal, Surbhi (1)Agharkar, Amey Nitin (1)Agrawal, Harish (1)Ahmad, Touseef (1)Alladin, Muttaqi Ahmad (1)... View MoreSubject
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