Manual fingerprint classification algorithms are very time consuming, and usually not accurate. Fast and accurate fingerprint classification is essential to each AFIS (Automatic Fingerprint Identification System). This paper investigates a fingerprint classification algorithm that reduces the complexity and costs associated with the fingerprint identification procedure. A new structural algorit...

A hybrid approach for intrusion detection in computer networks is presented in this paper. The proposed approach combines an evolutionary-based fuzzy system with an Ant Colony Optimization procedure to generate high-quality fuzzy-classification rules. We applied our hybrid learning approach to network security and validated it using the DARPA KDD-Cup99 benchmark data set. The results indicate t...

abstract— due to the daily mass production and the widespread variation of medical x-ray images, it is necessary to classify these for searching and retrieving proposes, especially for content-based medical image retrieval systems. in this paper, a medical x-ray image hierarchical classification structure based on a novel merging and splitting scheme and using shape and texture features is prop...

In this paper, a new hybrid methodology is introduced to design a cost-sensitive fuzzy rule-based classification system. A novel cost metric is proposed based on the combination of three different concepts: Entropy, Gini index and DKM criterion. In order to calculate the effective cost of patterns, a hybrid of fuzzy c-means clustering and particle swarm optimization algorithm is utilized. This ...

Manual fingerprint classification algorithms are very time consuming, and usually not accurate. Fast and accurate fingerprint classification is essential to each AFIS (Automatic Fingerprint Identification System). This paper investigates a fingerprint classification algorithm that reduces the complexity and costs associated with the fingerprint identification procedure. A new structural algorit...

conclusions various modalities of treatment used differentially in different types of drfs based on the barzullah working classification give good results in spite of conflicting literature. results the mean age of the patients was 51.22 ± 20.58 years. most of the patients were females (n=189, 64.19%). the minimal follow up was 6 months with a mean of 15.10 ± 5.4 months. mean mayo wrist scores ...

manual fingerprint classification algorithms are very time consuming, and usually not accurate. fast and accurate fingerprint classification is essential to each afis (automatic fingerprint identification system). this paper investigates a fingerprint classification algorithm that reduces the complexity and costs associated with the fingerprint identification procedure. a new structural algorit...

with the explosive growth in amount of information, it is highly required to utilize tools and methods in order to search, filter and manage resources. one of the major problems in text classification relates to the high dimensional feature spaces. therefore, the main goal of text classification is to reduce the dimensionality of features space. there are many feature selection methods. however...

extended abstract 1. introduction karst classification is carried out in order to better investigate karsts. it plays a fundamental role in distinguishing and recognizing them. today, the implementation of development projects without the appreciation of karst classification and recognition seems a difficult task. field studies, topographic maps, satellite images, aerial photographs and geologi...