Results 51 to 60 of about 74,863 (268)

A novel feature selection algorithm based on damping oscillation theory.

open access: yesPLoS ONE, 2021
Feature selection is an important task in big data analysis and information retrieval processing. It reduces the number of features by removing noise, extraneous data.
Fujun Wang, Xing Wang
doaj   +1 more source

On Block-Coded Modulation Using Unequal Error Protection Codes Over Rayleigh-Fading Channels [PDF]

open access: yes, 1998
This paper considers block-coded 8-phase-shift-keying (PSK) modulations for the unequal error protection (UEP) of information transmitted over Rayleigh-fading channels.
Imai, Hideki   +3 more
core   +2 more sources

Improved adaptive gray wolf genetic algorithm for photovoltaic intelligent edge terminal optimal configuration

open access: yesComputers and Electrical Engineering, 2021
Photovoltaic (PV) intelligent edge terminals (IETs) integrate data acquisition, processing, storage and upload functions for intelligent operations of PV power stations. However, the cost of installing a PV IET at one PV station is relatively high. In order to achieve the goal of multiple distributed PV stations sharing one PV IET on the premise of ...
Ge, Leijiao   +5 more
openaire   +1 more source

Efficient numerical simulation of granular matter using the Bottom-To-Top Reconstruction method

open access: yes, 2006
The numerical simulation of granular systems of even moderate size is a challenging computational problem. In most investigations, either Molecular Dynamics or Event-driven Molecular Dynamics is applied.
Poeschel, Thorsten, Schwager, Thomas
core   +1 more source

A measure of the non-Gaussian character of a quantum state [PDF]

open access: yes, 2007
We address the issue of quantifying the non-Gaussian character of a bosonic quantum state and introduce a non-Gaussianity measure based on the Hilbert-Schmidt distance between the state under examination and a reference Gaussian state.
Banaszek, Konrad   +2 more
core   +3 more sources

Estimating demographic parameters using a combination of known-fate and open N-mixture models

open access: yes, 2015
1. Accurate estimates of demographic parameters are required to infer appropriate ecological relationships and inform management actions. Recently developed N-mixture models use count data from unmarked individuals to estimate demographic parameters, but
Adams, Layne G.   +3 more
core   +1 more source

Improved Shuffled Binary Grasshopper Optimization Feature Selection Algorithm

open access: yesJisuanji kexue yu tansuo, 2021
Feature selection is to select the optimal or relatively optimal feature subsets from the original feature set of the data set to speed up classification and improve classification accuracy.
ZHAO Zeyuan, DAI Yongqiang
doaj   +1 more source

Photometric redshifts with Quasi Newton Algorithm (MLPQNA). Results in the PHAT1 contest [PDF]

open access: yes, 2012
Context. Since the advent of modern multiband digital sky surveys, photometric redshifts (photo-z's) have become relevant if not crucial to many fields of observational cosmology, from the characterization of cosmic structures, to weak and strong lensing.
Brescia, Massimo   +3 more
core   +3 more sources

A Scalable Framework for Comprehensive Typing of Polymorphic Immune Genes from Long‐Read Data

open access: yesAdvanced Science, EarlyView.
SpecImmune introduces a unified computational framework optimized for long‐read sequencing to resolve over 400 highly polymorphic immune genes. This scalable approach achieves high‐resolution typing, enabling the discovery of cross‐family co‐evolutionary networks and population‐specific diversity.
Shuai Wang   +5 more
wiley   +1 more source

Individualized Atrophy‐Based Prediction of Dementia Progression in Familial Frontotemporal Lobar Degeneration With Bayesian Linear Mixed‐Effects Modeling

open access: yesAnnals of Neurology, EarlyView.
Objective Age of symptom onset is highly variable in familial frontotemporal lobar degeneration (f‐FTLD). Accurate prediction of onset would inform clinical management and trial enrollment. Prior studies indicate that individualized maps of brain atrophy can predict conversion to dementia in f‐FTLD.
Shubir Dutt   +82 more
wiley   +1 more source

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