Ara
Toplam kayıt 760, listelenen: 401-410
Search for New Decay Modes of the psi(2)(3823) and the Process e(+)e(-) -> pi(0)pi(0)psi(2) (3823)
(Amer Physical Soc., 2021)
The decays psi(2)(3823) -> gamma chi(c0,1,2), pi(+)pi(-) J/psi, pi 0 pi(0) J/psi, eta J/psi, and pi(0)J/psi are searched for using the reaction e(+)e(-) -> pi(+)pi(-)psi(2) (3823) in a 19 fb(-1) data sample collected at ...
Dataset on Catal's reagent: Sensitive detection of iron (II) sulfate using spectrophotometry
(Elsevier, 2020)
Catal's reagent is characterized by spectroscopic methods such as fourier-transform infrared spectroscopy (FT-IR), nuclear magnetic resonance (NMR) spectroscopy, mass spectrometry (MS), ultraviolet (UV)-visible spectrophotometry. ...
Wavelet-ANFIS hybrid model for MODIS NDVI prediction
(Spie-Soc Photo-Optical Instrumentation Engineers, 2021)
Urbanization at the expense of the natural environment has been increasing in Turkey in recent years. The toll it takes on the ecosystem has an adverse impact on local weather systems and natural resources. These rapid ...
Flexural Response Prediction of Reinforced Concrete Members Based on Statistical Observations
(Springer, 2017)
Seismic assessment of reinforced concrete (RC) structures requires the determination of inelastic deformation capacity of structural members. Inelastic deformation capacity of members is determined by performing analytical ...
Measurement of the e(+)e(-) -> pi(+)pi(-) Cross Section Between 600 and 900 MeV Using Initial State Radiation (vol 753, pg 629, 2016)
(Elsevier, 2021)
In Ref.[1] the BESIII collaboration published a cross section measurement of the process e(+)e(-) -> pi(+)pi(-) in the energy range between 600 and 900 MeV. In this corrigendum, we report a corrected evaluation of the ...
Adaptive Exhaustive Search Algorithm (Aesa) For Gravity Anomaly Profile Moddelling
(IEEE, 2016)
In this paper, we introduce a new modelling technique called Adaptive Exhaustive Search Aigorithm (AESA) to distinguish the density and to compute the accurate location in geophysical section respect to its gravity anomali. ...
A new approach to prediction of SO2 and PM10 concentrations in Istanbul, Turkey: Cellular Neural Network (CNN)
(Taylor & Francis, 2011)
This article describes the application of a cellular neural network (CNN) to model air pollutants. In this study, forthcoming daily and hourly values of particulate matter (PM10) and sulphur dioxide (SO2) were predicted. ...
Application of cellular neural network (CNN) to the prediction of missing air pollutant data
(Elsevier, 2011)
For air-quality assessments in most major urban centers, air pollutants are monitored using continuous samplers. Sometimes data are not collected due to equipment failure or during equipment calibration. In this paper, we ...
Determination of Strong-Phase Parameters in D -> K-S,L(0)pi(+)pi(-)
(Amer Physical Soc., 2020)
We report the most precise measurements to date of the strong-phase parameters between D-0 and (D) over bar (0) decays to K-S,L(0)pi(+)pi(-) using a sample of 2.93 fb(-1) of e(+) e(-) annihilation data collected at a ...
Search for the semileptonic decay D0(+) -> b(1) (1235)(-(0))e(+)v(e)
(Physical Review D., 2020)
Using 2.93 fb-1 of e(+)e(-) data collected at a center-of-mass energy root s = 3.773 GeV with the BESIII detector operating at the BEPCII collider, we search for the semileptonic D0(+) decays into a b(1)(1235)(-(0)) ...