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Parallel Tracking and Mapping for Controlling VTOL Airframe
Differential evolution algorithm for performance optimization of the micro plasma actuator as a microelectromechanical system

Characteristic Based Split Finite Element for Unsteady Dam-Break Problem
Categories Malware using Neural Networks based on Feature Selection by Genetic algorithm

Validation of administrative health data for the pediatric population: a scoping review
Image retrieval using the combination of text-based and content-based algorithms

3D Optimization of Gear Train Layout Using Particle Swarm Optimization Algorithm
Diabetic peripheral neuropathy class prediction by multicategory support vector machine model: a cross-sectional study

Diabetic peripheral neuropathy class prediction by multicategory support vector machine model: a cross-sectional study
Coping with interference in wireless networks

Proposing a game-theoretic approach for cooperative multi-echelon fuzzy supply chain with discount and marketing costs
A novel fast maximum power point tracking for a PV system using hybrid PSO-ANFIS algorithm under partial shading conditions

Inverse Generalized Maximum Flow Problems
Particle Swarm Optimization to Solve Competitive Production Routing Problem

A Novel Flexible Inertia Weight Particle Swarm Optimization Algorithm
A Hybrid Model for Portfolio Optimization Based on Stock Clustering and Different Investment Strategies

Data structures and algorithms in java /
Data structures & algorithms in Java /

Introducing the Hybrid “K-means, RLS” Learning for the RBF Network in Obstructive Apnea Disease Detection using Dual-tree Complex Wavelet Transform Based Features
Introducing the hybrid “K-means, RLS” learning for the RBF network in obstructive apnea disease detection using Dual-tree complex wavelet transform based features

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