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Engineered living materials (ELMs) design: From function allocation to dynamic behavior modulation
Current Opinion in Chemical Biology, 2022Natural materials possess many distinctive "living" attributes, such as self-growth, self-healing, environmental responsiveness, and evolvability, that are beyond the reach of many existing synthetic materials.
Yanyi Wang, Chao Zhong
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The extensive damage to elms by Dutch elm disease agents and their hybrids in northwestern Russia
Urban Forestry and Urban Greening, 2021Elms are important amenity trees in the European part of Russia, incl. the St. Petersburg and Leningrad Region. The native species Ulmus glabra and U. laevis mainly grow there, on the northern border of their natural range. Hybrid elm cultivars have been
Liina Jürisoo +2 more
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Application of the parareal algorithm to simulations of ELMs in ITER plasma
Computer Physics Communications, 2019 This paper explores the application of the parareal algorithm to simulations of ELMs in ITER plasma. The primary focus of this research is identifying the parameters that lead to optimum performance.
D P Coster, X Bonnin, W R Elwasif
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A novel double deep ELMs ensemble system for time series forecasting
Knowledge-Based Systems, 2017Qun Dai
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Meta-ELM: ELM with ELM hidden nodes
Neurocomputing, 2014Extreme Leaning Machine (ELM) simply randomly assigns input weights and biases, ineluctably leading to certain stochastic behaviors and reducing generalization performance. In this paper, we propose a meta-learning model of ELM, called Meta-ELM. The Meta-ELM architecture consists of several base ELMs and one top ELM.
Shizhong Liao, Chang Feng
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Selected an Stacking ELMs for Time Series Prediction
Neural Processing Letters, 2016Qun Dai
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SOM-ELM—Self-Organized Clustering using ELM
Neurocomputing, 2015This paper presents two new clustering techniques based on Extreme Learning Machine (ELM). These clustering techniques can incorporate a priori knowledge (of an expert) to define the optimal structure for the clusters, i.e. the number of points in each cluster. Using ELM, the first proposed clustering problem formulation can be rewritten as a Traveling
Yoan Miche +7 more
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DMP-ELMs: Data and model parallel extreme learning machines for large-scale learning tasks
Neurocomputing, 2018As machine learning applications embrace larger data size and model complexity, practitioners turn to distributed clusters to satisfy the increasing computational and memory demands.
Yuewei Ming +5 more
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Integration ELMs or Interpolation ELMs?
1994Recent finite element Eulerian-Lagrangian Methods (ELMs) have traded the classical notion of interpolation at the feet of the characteristic lines for that of integration. In this paper, the stability and accuracy of selected integration and interpolation ELMs is formally analyzed and compared.
Oliveira, A., Melo Baptista, A.
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