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Now showing items 4187-4206 of 8778
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Luminiscence and pressure induced structural behaviour studies of X-ray image storage phosphors
Abstract not available -
Machine Learning Algorithms Using Classical And Quantum Photonics
ABSTRACT In the modern day , we are witnessing two complementary trends, exponential growth in data and shrinking of chip size. The Data is approaching to 44 zettabytes by 2020 and the chips are now available with 10nm ... -
Machine learning and density functional theory assisted insights into the mechanical and oxidation properties of nickel-based superalloys
Due to global warming and increasing fuel costs, there is a constant thrust toward increasing fuel efficiency and reducing the emissions of gas-turbine engines, which are made out of superalloys. New superalloy materials, ... -
Machine Learning and Rank Aggregation Methods for Gene Prioritization from Heterogeneous Data Sources
(2017-12-05)Gene prioritization involves ranking genes by possible relevance to a disease of interest. This is important in order to narrow down the set of genes to be investigated biologically, and over the years, several computational ... -
Machine Learning for Decoding Imagined words and Altered State of Consciousness from EEG
In the first part of the thesis, the results of our studies on the classification of phonological categories in imagined words are presented. We have investigated whether there are any statistically significant differences ... -
Machine Learning Methods for Soil property prediction using VNIR and MIR Spectroscopy
Soil plays a key role in food security, freshwater regulation, biodiversity and climate mitigation. Soil intersects directly or indirectly with at least seven of the United Nations Sustainable Development Goals. Among the ... -
Machine recognition of printed kannada text
Optical Character Recognition (OCR) provides a more efficient and faster solution for many real-world problems such as form readers for various application forms, bank cheque reading, and postal mail sorting. Manual operation ... -
Machine recognition of printed odiya text
Automatic recognition of characters by a machine is one of the challenging problems in Artificial Intelligence. The motivation for the design of such a machine comes from the human visual system (HVS). HVS is endowed with ... -
Machine-Learning-Based investigations in Complex Systems: Droplet Coalescence, Ising-type models, and Mathematical Models for Cardiac Tissue
The importance of artificial intelligence and data driven machine learning is growing exponentially in time as are its applications in investigations of complex phenomena in, e.g., climate-systems science, fluid flows, ... -
Macroscopic crowd flow and risk modelling in mass religious gathering
Understanding the principles and applications of crowd dynamics in mass gatherings is very important, specifically with respect to crowd risk analysis and crowd safety. Historical trends from India and other countries ... -
Macroscopic modelling of heterogeneous, disordered road traffic flow
The groundwork for much of the existing traffic flow theory was laid in the 1950s and 1960s by researchers from developed economies like the United States. The car-following modelling approach, which is arguably the most ... -
A Macroscopic Physical Model For Lightning Return Stroke
(2014-10-15)In the design of most of the modern systems, lightning threat needs to be considered at the design phase itself. This demands a suitable model and owing to associated complexity, only simplified modeling have been attempted. ... -
A Magnesia Based Sustainable Method For De-Fluoridation Of Contaminated Groundwater
(2010-10-14)Groundwater is a major and sometimes lone source of drinking water worldwide. The chemical composition of groundwater is a combined product of the composition of water that enters the aquifer and its reaction with various ... -
Magnesium Matrix-Nano Ceramic Composites By In-situ Pyrolysis Of Organic Precursors In A Liquid Melt
(2013-06-20)In this thesis, a novel in-situ method for incorporating nanoscale ceramic particles into metal has been developed. The ceramic phase is introduced as an organic-polymer precursor that pyrolyzes in-situ to produce a ceramic ... -
Magnetic and Dielectric Properties of Half Doped RMnO3 (R = Y, Tb)
For the last few decades, the physics of doped perovskite manganite’s (RMnO3) has been an area of intense research due to their interesting physical and electronic properties. Various exciting phenomena such as, colossal ... -
Magnetic and Magnetotransport Studies in Transition Metal Oxides : Role of Competing Interactions
(2018-04-12)There was a fame time for silicon in condensed matter physics, then the graphene era came and now topological insulators are gaining lot of attention, but magnetism in condensed matter physics has remained always fascinating ... -
Magnetic and spectroscopic investigations of iron and other ..... Ligands
The complexes of a new ligand, 2-thioacetamido thiazole (TATZ) with halide and nitrate salts of Fe(II), Ni(II), Cu(I,II), Zn(II), Cd(II) and Hg(II) have been synthesized. The compounds have the general formula, M(TATZ)?·nH?O ... -
Magnetic And Transport Studies On Nanosystems Of Doped Rare Earth Manganites And VPP PEDOT
(2013-06-10)The study of novel properties of materials in nanometer length scales has been an extensive area of research in the recent past. The field of nanosciece and nanotechnology deals with such studies and has gained tremendous ...