The purpose of this article is to shed light on the mechanism
and the procedures of a neuro-fuzzy controller that classifies an
input face into any of the four facial expressions, which are
Happiness, Sadness, Anger and Fear. This program works
a
ccording to the facial characteristic points-FCP which is taken
from one side of the face, and depends, in contrast with some
traditional studies which rely on the whole face, on three
components: Eyebrows, Eyes and Mouth.
In this paper we introduce a comparison for some of data mining algorithm for traffic accidents analysis.
We start by describing available data for entry by analyzing the structure of statistical reports in Lattakia traffic directorate, and proceed
to data mining stage which enables us to smart study of factors that play roles in traffic accident and find its inter-relations and importance for causing traffic accident.
That comes after building data warehouse upon the database we built to store the data we gathered.
In this research we list a some of models was tested which is a sample of a many cases we checked to have the research results.
This research highlights the most recognizable basics of Sibaweih's methodology in his book. Altogether, they are not different from the modern descriptive approach. Sibaweih appears in the first Arabic Linguistics Encyclopaedia, in a way that presen
ts the righteousness of his pioneering methodology, as is apparent in the three linguistic levels of: Phonology, Morphology and Syntax.
We have traced the method he followed to treat the linguistic phenomena, which in all its forms constitute a constellation of semantic and intellectual operations based on all aspects of this phenomenon, next to the realistic principles that he relied on to achieve his goal. Themselves are the principles that gained circulation in the West later on; as follows: listening; language and speech; spoken and written language; unity of time and place; induction; and categorization.
الهدف من هذا البحث هو استعمال الشبكة العصبونية ذات الانتشار العكسي BNN في تصنيف
كتل الثدي من صور الماموغرام بهدف تخفيض عدد الخزعات الجراحية غيـر الضـرورية.
قارنا في هذه الدراسة أداء تصنيف كتل الثدي في صور الماموغرام بين الشبكة العصـبونية
ذات الانت
شار العكسي (BNN (Network Neural Backpropagation و بين أطبـاء أشـعة.
دخل BNN هو الصفات الشكلية وصفات الكسوة المستخلصة من الكتل.
The results of studying the morphological characteristics of the flower, fruit,
pollen grains, and seeds between some of Hypericum genus species, show that
there are relevant morphological differences among the studied species, which
can be considered as taxonomical criteria for distinguishing the studied species
of Hypericum genus from each other.
This research was conducted in the Agriculture Faculty- Food Science
Department, Damascus University, for detecting Lactic acid bacteria isolated
from Syrian dairy products (white fresh cheese-Leben), Samples were collected
from August, 2004 to Oc
tober, 2005 from different areas in Syria. Analysis was
done for 245 bacterial isolates from 40 samples of white fresh cheese and 58
samples of yogurt (curd). Results showed that the genus Enterococcus was
dominant with a percentage of 47.52%; Pediococcus had a percentage of 26.3
%; while Lactococcus had a percentage of 15.38% with only 3.2% for
Lactobacillus.
