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Deep Learning Based Channel Estimation in Wireless Communications
Deep learning techniques which employ trained neural networks to solve problems have witnessed widespread adoption in diverse fields like medicine, architecture, robotics, autonomous vehicles, wireless communications, ... -
Deep Learning for Bug Localization and Program Repair
In this thesis, we focus on the problem of program debugging and present novel deep learning based techniques for bug-localization and program repair. Deep learning techniques have been successfully applied to a variety ... -
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 Learning Methods For Audio EEG Analysis
The perception of speech and audio is one of the defining features of humans. Much of the brain’s underlying processes as we listen to acoustic signals are unknown, and significant research efforts are needed to unravel ... -
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 ... -
Deep Learning Models for Few-shot and Metric Learning
Deep neural network-based models have achieved unprecedented performance levels over many tasks in the traditional supervised setting and scale well with large quantities of data. On the other hand, improving performance ... -
Deep Learning over Hypergraphs
Graphs have been extensively used for modelling real-world network datasets, however, they are restricted to pairwise relationships, i.e., each edge connects exactly two vertices. Hypergraphs relax the notion of edges ... -
Deep Learning with Minimal Supervision
Abstract In recent years, deep neural networks have achieved extraordinary performance on supervised learning tasks. Convolutional neural networks (CNN) have vastly improved the state of the art for most computer vision ... -
Deep mutational scanning to enhance immunogenicity and map antibody responses to HIV-1
Vaccines have proven effective against numerous viral diseases, yet the development of a successful vaccine for Human Immunodeficiency Virus (HIV-1) remains elusive. A key immunogen for vaccine design is the surface envelope ... -
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 ... -
Defect Engineering and Doping of 2D Transition Metal Dichalcogenides: A First-Principles Study
The foundation of the electronic industry is based on n-type and p-type semiconductor materials, which is obtained by the ubiquitously present point defects. The presence of defects affects the electronic and optoelectronic ... -
Defluoridation Of Drinking Water Using A Combined Alum-Activated Alumina Process And Nanoscale Adsorbents
(2010-10-08)Excess Fluoride in drinking water is a cause for concern in several countries in the world. Various techniques have been developed to mitigate the harmful effects of fluoride. In the present work, a combined alum and ... -
Defluoridation Of Drinking Water Using Activated Alumina
(2013-05-20)Excess fluoride (F-) in drinking water poses a health threat to millions of people around the world. In the present work, activated alumina (AA) has been used as an adsorbent. Data obtained from batch experiments were ... -
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 ... -
Degradation Of Water Soluble Polymers
(2011-08-25) -
Degradation Studies on Polymeric Insulators used for EHV and UHV Transmission
High voltage insulators used in overhead power transmission systems are of key im- portance for safe, reliable, and effcient operation of transmission line in transferring huge amount of electrical power. Conventionally, ... -
Deiodination of Thyroid Hormones by Iodothyronine Deiodinase Mimics
(2018-03-26)Thyroxine is the main secretory hormone of thyroid gland and it is produced in thyroglobulin by thyroid peroxidase/hydrogen peroxide/iodide system. After biosynthesis and secretion of thyroxine, it undergoes multiple ...