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Database and XML technologies 6th International XML Database Symposium, XSym 2009, Lyon, France, August 24, 2009 : proceedings /
Database and expert systems applications 23rd International Conference, DEXA 2012, Vienna, Austria, September 3-6, 2012. proceedings /

Database programming languages 11th international symposium, DBPL 2007, Vienna, Austria, September 23-24, 2007 : revised selected papers /
Application of Hybrid Genetic Algorithm Routine in Optimizing Food and Bioengineering Processes

Algorithm for Energy Resource Allocation and Sensor-Based Clustering in M2M Communication Systems
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
Database and expert systems applications 19th International Conference, DEXA 2008, Turin, Italy, September 1-5, 2008 : proceedings /

Database and expert systems applications 20th International Conference, DEXA 2009, Linz, Austria, August 31 - September 4, 2009 : proceedings /
Managing uncertainty in imputing missing symptom value for healthcare of rural India

Computational Algorithms that Effectively Reduce Report Defects in Surgical Pathology
Exercise in patients with Type 2 diabetes: Facilitators and barriers - A qualitative study

Distance Protection Methodology for Detection of Faulted Phase and Fault Along With Power Swing Using Apparent Impedance
Detection of Hard Exudates in Colour Fundus Images Using Fuzzy Support Vector Machine-Based Expert System

Modern technologies and algorithms for scaffolding assembled genomes
SPATIAL ANALYSIS OF VEGETATION DENSITY CLASSIFICATION IN DETERMINING ENVIRONMENTAL IMPACTS USING UAV IMAGERY

Real-World Marine Radar Datasets for Evaluating Target Tracking Methods
Optoacoustic Tomography Using Accelerated Sparse Recovery and Coherence Factor Weighting

AUTOMATION OF POWER TRANSFORMER MAINTENANCE THROUGH SUMMARIZATION OF SUBSPACE CLUSTERS
PS2-51: Comparison of Two Different Methods of Classifying Periodontal Disease Severity

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