Biased edge failure in scale-free networks based on natural connectivity

Y Shang - Indian Journal of Physics, 2012 - Springer
The natural connectivity is recently reported as a novel spectral measure of robustness in
complex networks. It has a clear physical meaning and a simple mathematical formulation …

Comparing two-Boltzmann distribution and Tsallis statistics of particle transverse momentums in collisions at LHC energies

FH Liu, YQ Gao, BC Li - The European Physical Journal A, 2014 - Springer
The transverse momentum distributions of final-state particles produced in collisions at
energies available at the Large Hadron Collider (LHC) are studied by using the two …

Dependences of charged particle pseudorapidity distributions on impact parameter and center-of-mass energy in nucleus–nucleus collisions at relativistic energies

EQ Wang, YH Chen, BC Li, FH Liu - Indian Journal of Physics, 2013 - Springer
The centrality and rapidity dependence of charged particles over a wide range of center-of-
mass energy are analyzed. In this framework of participant-spectator model, the interacting …

Plasmon energy and lattice energy of binary tetrahedral semiconductors and I–VII ionic compounds

SK Gorai, P Mahto - Indian Journal of Physics, 2012 - Springer
Two simple empirical relations have been proposed to estimate lattice energy from plasmon
energy and bond length of binary tetrahedral semiconductors ANB 8− N (N= 2) and I–VII …

Charged particle pseudorapidity distributions in high energy or collisions and the improved multi-source thermal model

JX Sun, LL Liu, EQ Wang, FH Liu - Indian Journal of Physics, 2013 - Springer
We improve the multi-source thermal model of relativistic situation and analyze the
pseudorapidity distributions of charged massive particles. To improve the model, the particle …

[PDF][PDF] Aircraft image de-noising and identification using deep neural network

M Sharma, KK Sarma, N Mastorakis - Int. J. Circuits Syst. Signal …, 2019 - researchgate.net
Images corrupted during transmission and acquisi-tion required de-noising for proper
interpretation and reliable recognition. Though related traditional methods are known to be …

Implementing chaotic and synchronization properties of logistic maps using artificial neural networks for code generation

BK Bhattacharyya, HK Sarmah, KK Sarma - Next-Generation Networks …, 2018 - Springer
Logistic maps, usually preferred for chaotic sequence generation, provide certain
challenges while implementing for real applications. Specifically, while considered for …

[PDF][PDF] Charged particle pseudorapidity distributions in high energy-pp or-pp collisions and the improved multi-source thermal model

P No - researchgate.net
The CERN Large Hadron Collider (LHC) is presently the largest and most powerful
accelerator in the world. Since its restart in 2009, the CERN LHC has being made a series of …

Estimation of Lateral Distribution of High Energy Showers using Artificial Neural Networks

G Devi, P Datta, KK Sarma - Journal of Physics: Conference …, 2013 - iopscience.iop.org
The lateral distribution function (LDF) of extensive air shower (EAS) s play an important role
in the analysis of the shower events and the particle content in it. These studies involve a …

ANN based Estimation of Ultra High Energy (UHE) Shower Size using Radio Data

KR Sinha, P Datta, KK Sarma - Journal of Physics: Conference …, 2013 - iopscience.iop.org
Size estimation is a challenging area in the field of Ultra High Energy (UHE) showers where
actual measurements are always associated with uncertainty of events and imperfections in …