We have ten more years to achieve the ambitious 17 Sustainable Development Goals (SDGs) set up by the United Nations in 2016. Looking at the 169 target and 230 indicators under the 17 SDGs, we see they are interconnected ...
The observed kinematic distributions of the particles produced in proton-proton collision events are generally different from what is expected for an ideal detector mainly because of the detector effects like imperfect ...
Historical monuments are the cultural heritage of any nation. They serve as points of
remembrance and can facilitate tourism. In this project, there is an attempt to
characterize mortar samples obtained from different ...
Predicting range expansions and biological invasions is a central challenge in global change research. While already non-trivial in a purely ecological context, this task becomes truly challenging when rapid evolution comes ...
This work attempts to study the simplest classical model systems
that describe the physics of phase transitions- nearest neighbour Ising models
using neural networks which are often associated with artificial ...
This thesis discusses how inter-layer dipole-dipole interactions (DDIs) introduce structural modifications in dipolar Bose-Einstein condensates (DBECs). We demonstrate this in a bi-layer system with three DBECs. We also ...
Microbiota play an important role in regulating host development, physiology and behavior. The hologenome theory suggests that the host and microbiota form the holobiont upon which selection acts. Variation in the host or ...
In today's world of data and information, deep learning has proven to be the ace in data science applications. While we hear much of deep learning concerning computer vision, NLP (Natural Language Processing), audio analysis ...
In this thesis, we study the ground-state phases of an extended Bose-Hubbard ladder using the density-matrix renormalization group (DMRG) algorithm. Each chain in the ladder is characterized by an onsite interaction U, ...
Quantum field theory has been a useful framework for analyzing and understanding the fundamental forces of nature, including electromagnetism, weak and strong interactions. However, when one tries to apply the usual ...
We study infectious disease spread through the Indian transportation network in this thesis. We
use a hazard index to quantify the risk faced by 446 Indian cities for an epidemic starting from
any city. This hazard index, ...
Experimental evolution is an important tool used to study the long-term effects of
multidrug resistance in bacterial populations. Two major factors that can potentially
affect the evolution of resistance are fluctuations ...
On 14th September, 2015, the LIGO detectors at Hanford and Livingston observed a gravitational wave signal originating from the merger of two stellar mass black holes. Since then, LIGO has reported the observation of 11 ...
Rotation curves of galaxies trace their gravitational potential and provide key information about the mass distribution within them. These were one of the first indicators about the presence of a new form of matter that ...
Detection of temporally uncertain signals is a common motif in many real world and laboratory settings including tasks that require sustained attention.
While the role of attention in these tasks has been studied ...
In this project we focus on different deep Learning algorithms for noisy audio enhancement
where traditional Digital signal Processing (DSP) techniques fail to enhance noisy audio clips,
we also worked on the classification ...
In this project a ternary regime Markov switching jump diffusion model for financial asset price data is proposed.
Initially, we propose a statistical technique for the detection of jumps and volatility estimation in a ...
Natural Language Processing (NLP) is one of the most challenging and rapidly growing
fields in artificial intelligence. It is all about deciphering human languages and deriving
meaning from them. Some of the commonly ...
Azeotropes are the most intriguing form of mixtures that shows the unique boiling point. These are laborious systems to deal with when we compare them with the separation of zeotropic mixtures. The structure gained by the ...
Modified cytosine recognition B and C (McrBC) complex belongs to the class of bacterial modification-dependent restriction enzymes that recognize and cleave methylated DNA. McrBC is a heterooligomeric complex of fourteen ...