The discovery of the Higgs boson at the Large Hadron Collider (LHC) is the crowning achievement of the Standard Model (SM) of particle physics. The SM is now proven to be a consistent field theory describing a vast range ...
Fair pricing of financial instruments is at the heart of market stability. Mispricing
securities can lead traders into suffering massive losses which can indirectly
affect the financial health of markets. It is thus, ...
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 ...
Starting with the problem of structure prediction, we leveraged machine learning to predict DNA conformation from its sequence accurately. We developed an end-to-end data-driven approach using machine learning and free ...
Stock market analysis is a hot topic with a very active research community working on it. Stock price prediction is of particular interest owing to the high stakes it offers. It is actually a multivariate time series ...
Growing interest in modelling complex systems from brains to societies to cities using networks has led to increased efforts to describe generative processes that explain those networks. Recent successes in machine learning ...
In India, high prevalence of vector borne disease like malaria in certain region is a significant health burden and require extensive community monitoring surveillance and management. Proliferation and spread of all vector ...
The pursuit of understanding the complex interplay between the biological sequences - DNA, RNA and proteins - has driven biological research for many years. The interaction between RNA and RNA-binding proteins (RBPs) is ...
The ATLAS and CMS collaborations announced the discovery of a new scalar particle of 125 GeV mass in 2012 whose measured properties like production cross-sections, couplings with other Standard Model (SM) particles, ...
This research aims to create a system that predicts agricultural yields using an all-encompassing system that integrates Numerical Weather Prediction (NWP) with machine learning. We want to know if combining NWP and ML ...
In this work, we developed an AI-based surveillance system to be used by businesses to improve public safety, security, and law enforcement efforts. The system has numerous potential applications, including lost item ...
Red geysers are an important class of low star forming galaxies that show telltale signs of AGN maintenance mode driven feedback mechanism that keeps them quenched. There are many questions left to be answered about the ...
Leishmania, categorized as a neglected tropical ailment, is instigated by a protozoan belonging to the leishmania genus and is transmitted through sandflies. This disease imposes a significant global health burden, ...
Characterization and control in quantum dynamics are paramount for the emerging field of quantum technologies. In the realm of quantum mechanics, the Schrödinger equation or Von-Neumann equation governs quantum evolution. ...
Helices are important secondary structural motifs within proteins, formed via hydrogen bonds between amino acid main chain atoms, playing pivotal roles in numerous physiological processes. Variations in the properties of ...
This study investigates the morphological classifications of galaxies in the early universe by employing the capabilities of Morpheus, a deep learning framework, in conjunction with the UNCOVER and CANDELS datasets from ...