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Now showing items 4107-4126 of 8559
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Low-Complexity Receiver Algorithms in Large-Scale Multiuser MIMO Systems and Generalized Spatial Modulation
(2018-04-18)Multi-antenna wireless systems have become very popular due to their theoretically predicted higher spectral efficiencies and improved performance compared to single-antenna systems. Large-scale multiple-input multiple-output ... -
Low-frequency variability of compact extragalactic radio sources.
Metre-wavelength flux-density variations in compact extragalactic radio sources on time-scales of several months to a few years indicate brightness temperatures up to 3½ orders of magnitude higher than the inverse Compton ... -
Low-Order Laminated Lock-Free Beam And Plate Elements Based On Coupled Displacement Field
(2007-10-23)This study aims to investigate the behaviour of low-order beam and plate elements especially for their application to laminated structures. The merits and dements of the existing elements are brought out and new low-order ... -
Low-PAPR, Low-delay, High-Rate Space-Time Block Codes From Orthogonal Designs
(2011-02-03)It is well known that communication systems employing multiple transmit and multiple receive antennas provide high data rates along with increased reliability. Some of the design criteria of the space-time block codes ... -
Low-Symmetric Water-Soluble Molecular Hosts for Molecular Separation and Optical Modulation
Nature employs the strategy of self-assembly in a remarkable way at every scale to construct numerous functional architectures. Various noncovalent interactions, such as hydrogen bonding, 𝜋-𝜋 stacking, and electrostatic ... -
Low-temperature preparatioin and characterization of the perovskite lanthanide chromites and related oxides
The thermal decomposition of lanthanum biscitrato chromate(III) dihydrate was investigated in both static air and flowing argon atmospheres. The complex decomposes in four distinct steps, forming oxycarbonate and ... -
Lower Bound Finite Element Limit Analysis for Solving Different Planar and Axisymmetric Stability Problems in Soil and Rock Media
The finite element limit analysis (FELA), which utilizes the concept of finite elements and an optimization procedure, is a very powerful technique to find an accurate solution of different stability problems in geomechanics. ... -
Lower Bound Limit Analysis Applications For Solving Planar Stability Problems In Geomechanics
(2014-09-04)Limit analysis based upon the theory of plasticity is one of the very useful numerical techniques to determine the failure loads of different civil and mechanical engineering structures for a material following an associated ... -
Low–Speed Impact Mechanics and Fragmentation of Wooden Panels: Characterization of Indian Woods
Low–speed impact (LSI) of brittle structural panels by rigid bodies causes significant damage, evident in familiar scenarios like the breaking of monolithic and laminated glass panes due to stone pelting, punching a hole ... -
Lp-Asymptotics of Fourier Transform Of Fractal Measures
(2018-06-08)One of the basic questions in harmonic analysis is to study the decay properties of the Fourier transform of measures or distributions supported on thin sets in Rn. When the support is a smooth enough manifold, an almost ... -
LU-SGS Implicit Scheme For A Mesh-Less Euler Solver
(2014-10-10)Least Square Kinetic Upwind Method (LSKUM) belongs to the class of mesh-less method that solves compressible Euler equations of gas dynamics. LSKUM is kinetic theory based upwind scheme that operates on any cloud of points. ... -
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, ...