Results 281 to 290 of about 562,963 (309)

Cenozoic evolution of earth's strongest geoid low illuminates mantle dynamics beneath Antarctica. [PDF]

Sci Rep
Glišović P, Forte AM.
europepmc   +1 more source

SBT-Net: a tri-cue guided multimodal fusion framework for depression recognition. [PDF]

BioData Min
Huo Y, Chan WH, Amerhaider Nuar ANB, Gao H.   +3 more
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Machine learning analysis based on deep learning for fatigue diagnostics in carbon fiber reinforced polymers. [PDF]

PLoS One
Salah Al-Shati A, Mohammed TJ.
europepmc   +1 more source

Evolvability: progress and key questions. [PDF]

Bioscience
Pélabon C, Agudelo-Cantero GA, Araya Ajoy YG, Bolstad GH, Cheng C, Galis F, Guillaume F, Haaland TR, Hallgrímsson B, Hansen TF, Holstad A, Houle D, Hunt G, Isaksen A, Milocco L, Mubalegh N, Nuño de la Rosa L, Orzack SH, Porto A, Reid JM, Sztepanacz JL, Undheim EAB, Villegas C, Voje KL, Walling C, Wright J.   +25 more
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Quantum-enhanced artificial potential field method for robust drone swarm shape formation. [PDF]

Sci Rep
Almaameri I, Blázovics L.
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Parturition Synchrony Index: A Method for Assessing Individual Parturition Synchrony Within a Group or Population. [PDF]

Ecol Evol
Dušek A, Bartoš L, Bartošová J.
europepmc   +1 more source

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Robust Evolution Strategies

Applied Intelligence, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ohkura, Kazuhiro, Matsumura, Yoshiyuki, Ueda, Kanji   +2 more
openaire   +2 more sources

Evolution of mutational robustness

Mutation Research - Fundamental and Molecular Mechanisms of Mutagenesis, 2003
We review recent advances in the understanding of the mutation-selection balance of asexual replicators. For over 30 years, population geneticists thought that an expression derived by Kimura and Maruyama in 1966 fully solved this problem. However, Kimura and Maruyama's result is only correct in the absence of neutral mutations.
Claus O, Wilke, Christoph, Adami
openaire   +2 more sources

RECURRENCE NETWORKS: EVOLUTION AND ROBUSTNESS

International Journal of Bifurcation and Chaos, 2011
We analyze networks generated by the recurrence plots of the time series of chaotic systems and study their properties, evolution and robustness against several types of attacks. Evolving recurrence networks obtained from chaotic systems display interesting features from the point of view of robustness (in particular, those related to their ...
Strozzi, F., Poljansek, K., Bono, F., Gutiérrez, E., Zaldívar, J. M.   +4 more
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Robustness during Network Evolution

2009 International Conference on Complex, Intelligent and Software Intensive Systems, 2009
Robust networks can maintain their characteristics under perturbation, which is rooted in the different topology structure.However, previous study of the relationship between network robustness and topology structure is based on a static context. We study the effects of network topology on the network robustness from an dynamic points of view.
Chunquan He, Qingsheng Ren
openaire   +1 more source