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3481 results:

EM modelling of arbitrary shaped anisotropic dielectric objects using an efficient 3D leapfrog scheme on unstructured meshes
Date: 27-05-16 

Computational Mechanics, vol. 466, pp. 1-15, 2016 Computational Mechanics, vol. 466, 58, no. 3, pp. 1-15, 441–455, 2016 A. Gansen, M. E. Hachemi, S. Belouettar, O. Hassan, and K. Morgan

An archive-based multi-objective evolutionary algorithm with adaptive search space partitioning to deal with expensive optimization problems: Application to process eco-design
Date: 16-02-16 

In eco-design, the integration of environmental aspects into the earliest stage of design is considered with the aim of reducing adverse environmental impacts throughout a product's life cycle. An

Assessing the uses of NLP-based surrogate models for solving expensive multi-objective optimization problems: Application to potable water chains
Date: 18-12-15 

In practice many multi-objective optimization problems relying on computationally expensive black-box model simulators of industrial processes have to be solved with limited computing time budget. In

Computational analysis of thermal adaptation in extremophilic chitinases: The Achilles’ heel in protein structure and industrial utilization
Date: 09-02-21 

Molecules, vol. 26, no. 3, p. 707, 2021 D. L. Ang, M. Z. Hoque, M. A. Hossain, G. Guerriero, R. Berni, J.-F. Hausman, S. A. Bokhari, W. J. Bridge, and K. S. Siddiqui

Model variance for extreme learning machine
Date: 14-01-21 

We derived theoretical formulas for the variance of extreme learning machine ensemble in a general case of a heteroskedastic noise. They provide a decomposition of the variance, which helps in the

Linear programming-based directed local search for expensive multi-objective optimization problems: Application to drinking water production plants
Date: 26-06-17 

Local search (LS) is an essential module of most hybrid meta-heuristic evolutionary algorithms which are a major approach aimed to solve efficiently multi-objective optimization (MOO) problems.

Social networks based framework for recommending touristic locations
Date: 12-09-17 

in Computational Collective Intelligence: 9th International Conference (ICCCI 2017), Nicosia, Cyprus, September 27-29, 2017, Proceedings, Part I, N. T. Nguyen, G. A. Papadopoulos, P. Jędrzejowicz,

Technologies in the planning of refugees' camps: A parametric participative framework for spatial camp planning
Date: 20-10-17 

The paper addresses computational design as a key technological asset in the development of the post-disaster responses related to temporary housing. In particular, the research targets context-aware

Exploration and visualization approach for outlier detection on log files
Date: 29-08-19 

in New Trends in Intelligent Information and Database Systems, Studies in Computational Intelligence, vol. 598, pp. 3-12, 2015 I. Louhi, L. Boudjeloud-Assala, and T. Tamisier

Pump efficiency analysis of waste water treatment plants: A data mining approach using signal decomposition for decision making
Date: 18-07-17 

In Waste Water Treatment Plants (WWTPs), the pump systems are one of the most energy intensive processes. An efficient energy management of pumps should produce environmental and economic benefits.