Results 151 to 160 of about 7,762,731 (372)
Reduced representation model of protein structure prediction: Statistical potential and genetic algorithms [PDF]
, 1993 Shaojian Sun
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FEBS Open Bio, EarlyView.The C. elegans tetraspanin‐7 (tsp‐7) is a homologue of human CD63, which is a negative regulator of autophagy. The C. elegans strain, tm5761, has a dysfunctional (knockout) tsp‐7 gene. When compared to the wild‐type strain, the tm5761 strain shows increased: life‐ and health‐span; thermotolerance, and stress‐induced locomotion.
Brogan Jones +2 more
wiley +1 more source
Data‐driven performance metrics for neural network learning
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri +2 more
wiley +1 more source
Genetic algorithms for protein tertiary structure prediction [PDF]
, 1993 Steffen Schulze-Kremer
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FEBS Open Bio, EarlyView.We obtained potential bacterial laccase‐like multicopper oxidase (LMCO) sequences through metagenomic sequencing. All sequences exhibited significant differences from known LMCOs in databases. To select the most promising candidates, we performed structure prediction and molecular docking using alphafold2, metal3d and rosetta.
Ting Cui +5 more
wiley +1 more source
The Evolution of Genetic Algorithms: Towards Massive Parallelism [PDF]
, 1993 Shumeet Baluja
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Performance analysis of control allocation using data‐driven integral quadratic constraints
Advanced Control for Applications, Volume 4, Issue 4, December 2022., 2022 Abstract A new method is presented for evaluating the performance of a nonlinear control allocation system within a linear control loop. To that end, a worst‐case gain analysis problem is formulated that can be readily solved by means of well‐established methods from robustness analysis using integral quadratic constraints (IQCs).
Manuel Pusch +2 more
wiley +1 more source
A Variational Beam Model for Failure of Cellular and Truss‐Based Architected Materials
Advanced Engineering Materials, EarlyView., 2023 Herein, a versatile and efficient beam modeling framework is developed to predict the nonlinear response and failure of cellular, truss‐based, and woven architected materials. It enables the exploration of their design space and the optimization of their mechanical behavior in the nonlinear regime. A variational formulation of a beam model is presented
Konstantinos Karapiperis +3 more
wiley +1 more source
Manipulating subpopulations of feasible and infeasible solutions in genetic algorithms [PDF]
, 1993 D. Ansa Sekharan, Roger L. Wainwright
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