In this paper, we consider the adaptive Eulerian–Lagrangian method (ELM) for linear convection-diffusion problems. Unlike the classical a posteriori error estimations, we estimate the temporal error along the characteristics and derive a new a posteriori error bound for ELM semi-discretization. With the help of this proposed error bound, we are able to show the optimal convergence rate of ELM f...

This paper presents the Optimally-Pruned Extreme Learning Machine (OP-ELM) toolbox. This novel, fast and accurate methodology is applied to several regression and classification problems. The results are compared with widely known Multilayer Perceptron (MLP) and Least-Squares Support Vector Machine (LS-SVM) methods. As the experiments (regression and classification) demonstrate, the OP-ELM meth...

The effect of radio frequency wave driven torque on edge localized mode !ELM" activity is studied. It is shown that the radio frequency driven torque causes transition of type I giant ELMs to the benign grassy ELM behavior. The efficiency of this process scales directly with minor radius and inversely with the plasma density. It is argued that the technique of active ELM control will be efficie...

The study investigated predictive factors for best-corrected visual acuity (BCVA) after ranibizumab treatment in patients with macular edema (ME) associated with retinal vein occlusion (RVO) with an original ranking for the impairment of macular microstructure. In this retrospective study, 31 eyes of 31 patients with RVO received 3 monthly consecutive ranibizumab injections and another 3 months...

BACKGROUND Hypoepiluminescence microscopy (HELM) is a new dermoscopic approach for analysis of pigmented skin lesions (PSLs) after surgical excision. OBJECTIVES The objective was to verify whether this method could provide additional morphologic information for diagnostic or didactic purposes compared to conventional epiluminescence microscopy (ELM). PATIENTS AND METHODS Thirty-one PSLs fro...

Extreme Learning Machine (ELM) has been proposed as a new algorithm for training single hidden layer feed forward neural networks. The main merit of ELM lies in the fact that the input weights as well as hidden layer bias are randomly generated and thus the output weights can be obtained analytically, which can overcome the drawbacks incurred by gradient-based training algorithms such as local ...

Graphical user interfaces (GUIs) mediate almost all of our interactions with computers, whether it is through web pages, phone apps, or desktop applications. Functional Reactive Programming (FRP) is a promising approach to GUI design. This thesis presents Elm, a concurrent FRP language focused on easily creating responsive GUIs. Elm has two major features: (1) purely functional graphical layout...

The extraction efficiency of hexavalent chromium, Cr(VI), from water has been investigated using a vegetable oil based emulsion liquid membrane (ELM) technique. The main purpose of this study was to create a novel ELM formulation by choosing a more environmentally friendly and non-toxic diluent such as palm oil. The membrane phase so formulated includes the mobile carrier tri-n-octylmethylammon...

M. PALLIN, C. O’SULLIVAN, J.D. DODD, K. McCREERY, F. BRETT, M. FARRELL, D. O’BRIEN, W.W. HALL, N.J. TUBRIDY and M.P. KEANE St Vincent’s University Hospital, Elm Park, Dublin 4, Department of Radiology, St Vincent’s University Hospital, Elm Park, Dublin 4, Department of Opthalmology, Blackrock Clinic, Dublin 4, Department of Neuropathology and Department of Neurosurgery, Beaumont Hospital, Dubli...

The accurate prediction of strip crown is the precondition shape preset model in hot rolling. In this study, a new hybrid forecasting proposed combination with extreme learning machine (ELM) and industrial data. production data 1780 mm rolling are collected by on-site acquisition system to form dataset. Principal component analysis (PCA) used reduce dimension input for modeling samples. To impr...