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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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IJARAI Vol. 5 Issue 6 (2016)

Open Access | | 8 papers

Copyright Statement: This is an open access publication licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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1

A New Technique to Manage Big Bioinformatics Data Using Genetic Algorithms

Author 1: Huda Jalil Dikhil Author 2: Mohammad Shkoukani Author 3: Suhail Sami Owais

The continuous growth of data, mainly the medical data at laboratories becomes very complex to use and to manage by using traditional ways. So, the researchers start studying genetic information field which increased in the past thirty years in bioinformatics domain (the computer science field, genetic biology field, and DNA)… Read full abstract & cite →

Bioinformatics Big Data Genetic Algorithms Hadoop MapReduce
Abstract doi.org/10.14569/IJARAI.2016.050601 PDF
2

Improved Fuzzy C-Mean Algorithm for Image Segmentation

Author 1: Hind Rustum Mohammed Author 2: Husein Hadi Alnoamani Author 3: Ali AbdulZahraa Jalil

The segmentation of image is considered as a significant level in image processing system, in order to increase image processing system speed, so each stage in it must be speed reasonably. Fuzzy c-mean clustering is an iterative algorithm to find final groups of large data set such as image so… Read full abstract & cite →

pattern recognition image segmentation fuzzy c-mean improved fuzzy c-mean algorithms
Abstract doi.org/10.14569/IJARAI.2016.050602 PDF
3

Overview on the Using Rough Set Theory on GIS Spatial Relationships Constraint

Author 1: Li Jing Author 2: Zhou Wenwen

To explore the constraint range of geographic video space, is the key points and difficulties to video GIS research. Reflecting by spatial constraints in the geographic range, sports entity and its space environment between complicated constraint and relationship of video play a significant role in semantic understanding. However, how to… Read full abstract & cite →

space constraint GIS rough set fuzzy geographic spatial relationship
Abstract doi.org/10.14569/IJARAI.2016.050603 PDF
4

Students’ Weakness Detective in Traditional Class

Author 1: Fatimah Altuhaifa

In Artificial Intelligent in Education in learning contexts and domains, the traditional classroom is tough to find students’ weakness during lecture due to the student’s number and because the instruction is busy with explaining the lesson. According to that, choosing teaching style that can improve student talent or skills to… Read full abstract & cite →

emotional learner prediction voice identifier and verifier weakness detecting artificial intelligent in education
Abstract doi.org/10.14569/IJARAI.2016.050604 PDF
5

Thresholding Based Method for Rainy Cloud Detection with NOAA/AVHRR Data by Means of Jacobi Itteration Method

Author 1: Kohei Arai

Thresholding based method for rainy cloud detection with NOAA/AVHRR data by means of Jacobi iteration method is proposed. Attempts of the proposed method are made through comparisons to truth data which are provided by Japanese Meteorological Agency: JMA which is derived from radar data. Although the experimental results show not… Read full abstract & cite →

Jacobi itteration method Multi-Variiate Regressive Analysis AVHRR Rainfall area detection Rain Radar
Abstract doi.org/10.14569/IJARAI.2016.050605 PDF
6

Highly Accurate Prediction of Jobs Runtime Classes

Author 1: Anat Reiner-Benaim Author 2: Anna Grabarnick Author 3: Edi Shmueli

Separating the short jobs from the long is a known technique to improve scheduling performance. This paper describes a method developed for accurately predicting the runtimes classes of the jobs to enable the separation. Our method uses the fact that the runtimes can be represented as a mixture of overlapping… Read full abstract & cite →

Runtime Prediction Job Scheduler Server Farms Classifier Mixture Distribution
Abstract doi.org/10.14569/IJARAI.2016.050606 PDF
7

A Novel Approach for Discovery Quantitative Fuzzy Multi-Level Association Rules Mining Using Genetic Algorithm

Author 1: Saad M. Darwish Author 2: Abeer A. Amer Author 3: Sameh G. Taktak

Quantitative multilevel association rules mining is a central field to realize motivating associations among data components with multiple levels abstractions. The problem of expanding procedures to handle quantitative data has been attracting the attention of many researchers. The algorithms regularly discretize the attribute fields into sharp intervals, and then implement… Read full abstract & cite →

Quantitative Data Mining Fuzzy Association Rule Mining Multilevel Association rule Optimization Algorithm
Abstract doi.org/10.14569/IJARAI.2016.050607 PDF
8

A Model for Facial Emotion Inference Based on Planar Dynamic Emotional Surfaces

Author 1: J. P. P. Ruivo Author 2: T. Negreiros Author 3: M. R. P. Barretto Author 4: B. Tinen

Emotions have direct influence on the human life and are of great importance in relationships and in the way interactions between individuals develop. Because of this, they are also important for the development of human-machine interfaces that aim to maintain a natural and friendly interaction with its users. In the… Read full abstract & cite →

emotion recognition facial emotion Kalman filter machine learning
Abstract doi.org/10.14569/IJARAI.2016.050608 PDF
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