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Träfflista för sökning "WFRF:(Singh Dinesh) "

Search: WFRF:(Singh Dinesh)

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1.
  • 2021
  • swepub:Mat__t
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2.
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3.
  • Kumar, Amarjeet, et al. (author)
  • Development of Novel Hybrid Models for Prediction of Drought-and Stress-Tolerance Indices in Teosinte Introgressed Maize Lines Using Artificial Intelligence Techniques
  • 2022
  • In: Sustainability. - : MDPI. - 2071-1050. ; 14:4
  • Journal article (peer-reviewed)abstract
    • Maize (Zea mays subsp. mays) is a staple food crop in the world. Drought is one of the most common abiotic challenges that maize faces when it comes to growth, development, and production. Further knowledge of drought tolerance could aid with maize production. However, there has been less study focused on investigating in depth the drought tolerance of inbred maize lines using artificial intelligence techniques. In this study, multi-layer perceptron (MLP), support vector machine (SVM), genetic algorithm-based multi-layer perceptron (MLP-GA), and genetic algorithm-based support vector machine (SVM-GA) hybrid artificial intelligence algorithms were used for the prediction of drought tolerance and stress tolerance indices in teosinte maize lines. Correspondingly, the gamma test technique was applied to determine efficient input and output vectors. The potential of the developed models was evaluated based on statistical indices and graphical representations. The results of the gamma test based on the least value of gamma and standard error indices show that days of anthesis (DOA), days of silking (DOS), yield index (YI), and gross yield per plant (GYP) information vector arrangements were determined to be an efficient information vector combination for the drought-tolerance index (DTI) as well as the stress-tolerance index (STI). The MLP, SVM, MLP-GA, and SVM-GA algorithms’ results were compared based on statistical indices and visual interpretations that have satisfactorily predict the drought-tolerance index and stress-tolerance index in maize crops. The genetic algorithm-based hybrid models (MLP-GA and SVM-GA) were found to better predict the drought-tolerance index and stress-tolerance index in maize crops. Similarly, the SVM-GA model was found to have the highest potential to forecast the DTI and STI in maize crops, compared to the MLP, SVM, and MLP-GA models.
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4.
  • Adcox, K, et al. (author)
  • Event-by-event fluctuations in mean p(T) and mean E(T) in root s(NN)=130 GeVAu+Au collisions
  • 2002
  • In: Physical Review C (Nuclear Physics). - 0556-2813. ; 66:2
  • Journal article (peer-reviewed)abstract
    • Distributions of event-by-event fluctuations of the mean transverse momentum and mean transverse energy near mid-rapidity have been measured in Au+Au collisions at roots(NN)=130 GeV at the Relativistic Heavy-Ion Collider. By comparing the distributions to what is expected for statistically independent particle emission, the magnitude of nonstatistical fluctuations in mean transverse momentum is determined to be consistent with zero. Also, no significant nonrandom fluctuations in mean transverse energy are observed. By constructing a fluctuation model with two event classes that preserve the mean and variance of the semi-inclusive p(T) or e(T) spectra, we exclude a region of fluctuations in roots(NN)=130 GeV Au+Au collisions.
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5.
  • Adcox, K, et al. (author)
  • Flow Measurements via Two-Particle Azimuthal Correlations in Au+Au Collisions at sqrt[sNN]=130 GeV
  • 2002
  • In: Physical Review Letters. - 1079-7114. ; 89
  • Journal article (peer-reviewed)abstract
    • Two-particle azimuthal correlation functions are presented for charged hadrons produced in Au+Au collisions at the Relativistic Heavy Ion Collider (sqrt[sNN]=130 GeV). The measurements permit determination of elliptic flow without event-by-event estimation of the reaction plane. The extracted elliptic flow values (v2) show significant sensitivity to both the collision centrality and the transverse momenta of emitted hadrons, suggesting rapid thermalization and relatively strong velocity fields. When scaled by the eccentricity of the collision zone ε, the scaled elliptic flow shows little or no dependence on centrality for charged hadrons with relatively low pT. A breakdown of this ε scaling is observed for charged hadrons with pT >1.0 GeV/c.
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6.
  • Adcox, K, et al. (author)
  • Formation of dense partonic matter in relativistic nucleus-nucleus collisions at RHIC: Experimental evaluation by the PHENIX Collaboration
  • 2005
  • In: Nuclear Physics, Section A. - : Elsevier BV. - 0375-9474. ; 757:1-2, s. 184-283
  • Research review (peer-reviewed)abstract
    • Extensive experimental data from high-energy nucleus-nucleus collisions were recorded using the PHENIX detector at the Relativistic Heavy Ion Collider (RHIC). The comprehensive set of measurements from the first three years of RHIC operation includes charged particle multiplicities, transverse energy, yield ratios and spectra of identified hadrons in a wide range of transverse momenta (PT), elliptic flow, two-particle correlations, nonstatistical fluctuations, and suppression of particle production at high PT. The results are examined with an emphasis on implications for the formation of a new state of dense matter. We find that the state of matter created at RHIC cannot be described in terms of ordinary color neutral hadrons.
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7.
  • Adcox, K, et al. (author)
  • Measurement of Lambda and (Lambda)over-bar particles in Au plus Au collisions at root s(NN)=130 GeV
  • 2002
  • In: Physical Review Letters. - 1079-7114. ; 89:9
  • Journal article (peer-reviewed)abstract
    • We present results on the measurement of Lambda and (&ULambda;) over bar production in Au+Au collisions at roots(NN)=130 GeV with the PHENIX detector at the Relativistic Heavy Ion Collider. The transverse momentum spectra were measured for minimum bias and for the 5% most central events. The (&ULambda;) over bar/Lambda ratios are constant as a function of p(T) and the number of participants. The measured net Lambda density is significantly larger than predicted by models based on hadronic strings (e.g., HIJING) but in approximate agreement with models which include the gluon-junction mechanism.
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8.
  • Adcox, K, et al. (author)
  • Measurement of single electrons and implications for charm production in Au+Au collisions at root(NN)-N-S=130 GeV
  • 2002
  • In: Physical Review Letters. - 1079-7114. ; 88:19
  • Journal article (peer-reviewed)abstract
    • Transverse momentum spectra of electrons from Au+Au collisions at roots(NN) = 130 GeV have been measured at midrapidity by the PHENIX experiment at the Relativistic Heavy Ion Collider. The spectra show an excess above the background from photon conversions and light hadron decays. The electron signal is consistent with that expected from semileptonic decays of charm. The yield of the electron signal dN(e)/dy for p(T) > 0.8 GeV/c is 0.025 +/- 0.004(stat) +/- 0.010( syst) in central collisions, and the corresponding charm cross section is 380 +/- 60(stat) +/- 200(syst ) mub per binary nucleon-nucleon collision.
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9.
  • Adcox, K, et al. (author)
  • Net charge fluctuations in Au+Au interactions root s(NN)=130 GeV
  • 2002
  • In: Physical Review Letters. - 1079-7114. ; 89
  • Journal article (peer-reviewed)abstract
    • Data from Au+ Au interactions at s(NN)=130 GeV, obtained with the PHENIX detector at the Relativistic Heavy-Ion Collider, are used to investigate local net charge fluctuations among particles produced near midrapidity. According to recent suggestions, such fluctuations may carry information from the quark-gluon plasma. This analysis shows that the fluctuations are dominated by a stochastic distribution of particles, but are also sensitive to other effects, like global charge conservation and resonance decays.
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10.
  • Adcox, K, et al. (author)
  • PHENIX detector overview
  • 2003
  • In: Nuclear Instruments & Methods in Physics Research. Section A: Accelerators, Spectrometers, Detectors, and Associated Equipment. - 0167-5087. ; 499:2-3, s. 469-479
  • Journal article (peer-reviewed)abstract
    • The PHENIX detector is designed to perform a broad study of A-A, p-A, and p-p collisions to investigate nuclear matter under extreme conditions. A wide variety of probes, sensitive to all timescales, are used to study systematic variations with species and energy as well as to measure the spin structure of the nucleon. Designing for the needs of the heavy-ion and polarized-proton programs has produced a detector with unparalleled capabilities. PHENIX measures electron and muon pairs, photons, and hadrons with excellent energy and momentum resolution. The detector consists of a large number of subsystems that are discussed in other papers in this volume. The overall design parameters of the detector are presented. (C) 2002 Elsevier Science B.V. All rights reserved.
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  • Result 1-10 of 37
Type of publication
journal article (27)
research review (8)
conference paper (1)
Type of content
peer-reviewed (36)
Author/Editor
Liu, X (11)
Garpman, Sten (10)
Gustafsson, Hans-Åke (10)
Nilsson, Pål (10)
Nystrand, Joakim (10)
Oskarsson, Anders (10)
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Österman, Lennart (10)
Otterlund, Ingvar (10)
Silvermyr, David (10)
Stenlund, Evert (10)
Tydesjö, Henrik (10)
Arai, Y. (10)
Jia, J. (10)
Milov, A. (10)
Nagasaka, Y. (10)
Tojo, J. (10)
Wang, H. (10)
Zhang, Z. (10)
Lebedev, A. (10)
Bathe, S. (10)
Kim, HJ (10)
Liu, Z. (10)
Aphecetche, L. (10)
Averbeck, R. (10)
Berdnikov, Y. (10)
Buesching, H. (10)
Chujo, T. (10)
Delagrange, H. (10)
Glenn, A. (10)
Hamagaki, H. (10)
Klein-Boesing, C. (10)
Kwon, Y. (10)
Mao, Y. (10)
Miake, Y. (10)
Newby, J. (10)
Oyama, K. (10)
Peitzmann, T. (10)
Reygers, K. (10)
Santo, R. (10)
Schutz, Y. (10)
Shigaki, K. (10)
Sugitate, T. (10)
Torii, H. (10)
Zhou, S. (10)
Esumi, S. (10)
Bucher, D. (10)
Onuchin, V. (10)
Soldatov, A. (10)
Matsumoto, T. (10)
Alexander, J (10)
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University
Luleå University of Technology (13)
Lund University (12)
Uppsala University (10)
Swedish University of Agricultural Sciences (4)
Karolinska Institutet (3)
University of Gothenburg (2)
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Linköping University (2)
Umeå University (1)
Stockholm University (1)
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Language
English (37)
Research subject (UKÄ/SCB)
Natural sciences (18)
Medical and Health Sciences (11)
Engineering and Technology (8)
Agricultural Sciences (2)

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