Ara
Toplam kayıt 760, listelenen: 331-340
Performance Evaluation of Feature Selection Algorithms on Human Activity Classification
(IEEE, 2013)
In this work, four human activities were classified by using multi layer perceptron and k-nearest neighbours algorithm. Due to mass amount of data, two different feature selection methods, which are ReliefF and t-score, ...
Study of e+e- →π0X (3872)γ and Search for Zc (4020)0 →x (3872)γ
(American Physical Society, 2021)
Using data samples collected with the BESIII detector operating at the BEPCII storage ring at center-of-mass energies from 4.178 to 4.600 GeV, we study the process e+e-→π0X(3872)γ and search for Zc(4020)0→X(3872)γ. We find ...
Study of the Decay D-s(+) -> pi(+) pi(+) pi(-)eta and Observation of the W-annihilation Decay D-s(+) -> a(0)(980)(+)rho(0)
(Amer Physical Soc., 2021)
The decay D-s(+) -> pi(+) pi(+) pi(-)eta is observed for the first time, using e(+)e(-) collision data corresponding to an integrated luminosity of 6.32 fb(-1), collected by the BESIII detector at center-of-mass energies ...
Study of e(+)e(-) -> 2(p(p)over-bar) at center-of-mass Energies Between 4.0 and 4.6 GeV
(Amer Physical Soc., 2021)
Using data taken at 23 center-of-mass energies between 4.0 and 4.6 GeV with the BESIII detector at the Beijing Electron Positron Collider and with a total integrated luminosity of approximately 15 fb(-1), the process ...
Neuroconnectivity analysis under mental workload and resting state conditions
(IEEE, 2017)
Brain activation can be observed by means of electrical and haemodynamic responses under the resting state condition. Several brain regions are synchronously activated to form functional brain networks during the resting ...
Finite-element analysis of shear tests on masonry triplets
(Ice Publishing, 2020)
The goal of this study is to develop a computational model for analyzing triplet specimens under shear loading. In order to simulate realistically the stiffness degradation and inelastic deformability during shear failure ...
Hybrid Algorithms Based On Combining Reinforcement Learning And Metaheuristic Methods To Solve Global Optimization Problems
(Elsevier, 2021)
This paper introduces three hybrid algorithms that help in solving global optimization problems using reinforcement learning along with metaheuristic methods. Using the algorithms presented, the search agents try to find ...
Low Dynamic Range Histogram Equalization (LDR-HE) Via Quantized Haar Wavelet Transform
(Springer, 2021)
Conventional contrast enhancement methods stretch histogram bins to provide a uniform distribution. However, they also stretch the existing natural noises which cause abnormal distributions and annoying artifacts. Histogram ...
Search for the Rare Semi-leptonic Decay J/psi -> D(-)e(+)nu(e) + c.c.
(Springer, 2021)
Using 10.1 x 10(9)J/ events produced by the Beijing Electron Positron Collider (BEPCII) at a center-of-mass energy s = 3.097 GeV and collected with the BESIII detector, we present a search for the rare semi-leptonic decay ...
Robot Localization with Monte Carlo Method
(IEEE, 2017)
This report describes the Monte Carlo approach to the localization of a robot or autonomous system. Localization in robot or autonomous systems is the problem of position determination using sensor data. The Monte Carlo ...