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Algorithm theory – SWAT 2008 11th Scandinavian Workshop on Algorithm Theory, Gothenburg, Sweden, July 2-4, 2008 : proceedings /
Algorithm Theory-SWAT 2006 10th Scandinavian Workshop on Algorithm Theory, Riga, Latvia, July 6-8, 2006, proceedings /

Optimum Wire Busbar Design by Genetic Algorithm
Application of Hybrid Genetic Algorithm Routine in Optimizing Food and Bioengineering Processes

Biomass Grinding Process Optimization Using Response Surface Methodology and a Hybrid Genetic Algorithm
Biomass Grinding Process Optimization Using Response Surface Methodology and a Hybrid Genetic Algorithm

Flood Inundation Modelling of Flash Floods in Steep River Basins and Catchments
Charge-leveling and proper treatment of long-range electrostatics in all-atom molecular dynamics at constant pH

Algorithm for Energy Resource Allocation and Sensor-Based Clustering in M2M Communication Systems
Numerical results for the multiobjective trust region algorithm MHT

A GPU Implementation of Local Search Operators for Symmetric Travelling Salesman Problem
SPATIAL ANALYSIS OF VEGETATION DENSITY CLASSIFICATION IN DETERMINING ENVIRONMENTAL IMPACTS USING UAV IMAGERY

Managing uncertainty in imputing missing symptom value for healthcare of rural India
Developing a Modern Greenhouse Scientific Research Facility—A Case Study

Utilization, Yield, and Accuracy of the FilmArray Meningitis/Encephalitis Panel with Diagnostic Stewardship and Testing Algorithm
Exercise in patients with Type 2 diabetes: Facilitators and barriers - A qualitative study

Can a supervised algorithmic assessment of men for prostate cancer improve the quality of care? A retrospective evaluation of a prostate assessment pathway in Saskatchewan
Analysis of Surface Plasmon Resonance Curves with a Novel Sigmoid-Asymmetric Fitting Algorithm

Comparison of Geostatistical Kriging Algorithms for Intertidal Surface Sediment Facies Mapping with Grain Size Data
The Stream Algorithm: Computationally Efficient Ridge-Regression via Bayesian Model Averaging, and Applications to Pharmacogenomic Prediction of Cancer Cell Line Sensitivity

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