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تصفح المحتوي RDA
التصفح حسب الموضوعات
التصفح حسب اللغة
التصفح حسب الناشر
التصفح حسب تاريخ النشر
التصفح حسب مكان النشر
التصفح حسب المؤلفين
تصفح الهيئات
التصفح المؤتمرات
التصفح حسب نوع المادة
التصفح حسب العلاقة بالعمل
تم العثور علي : 55
 تم العثور علي : 55
  
 
إعادة البحث

Thesis 2024.

Thesis 2023.

Thesis 2023.

Thesis 2017

Thesis 2019
Intrusion Detection Systems (IDSs) - are the most
appropriate methods to prevent and detect the attacks of
networks and computer systems. The security system
development
- in the computing world - still requires
accurate work. Artificial intelligence technique can make
IDSs easier than before. As always
- the most important
thing is to know more about smart systems through training
to acquire the truth things. This thesis focuses on creating
an environment for IDSs to teach them to practice the work
such as a security officer. The study presents several ways
to discover network anomalies using data mining tasks
-
deep learning technology. In this thesis
- two smart hybrid
systems were developed to explore any penetrations inside
the network. The first model divides into two basic stages.
The first stage includes the Genetic Algorithm (GA) in
selecting the characteristics with depends on a process of
extracting
- Discretize And dimensionality reduction
through Proportional k-Interval Discretization (PKID) and
Fisher Linear Discriminant Analysis (FLDA) respectively.
At the end of the first stage combining classifier Naïve
Bayes and Decision Table classifier using NSL-KDD data
divided into two separate groups for training and testing.
The second stage completely depends on the first stage
outputs in order to improve the performance in terms of the
maximum accuracy in classification of penetrations
- raising
the average of discovering and reducing of the average of
false alarms through participation with the Deep Learning
(DL) technology and collaboration with an algorithm
(SGD). The second hybrid model relies upon Particle

Thesis 2018.
Clinical education is the core of the nursing education curriculum. Theory and practice are related and enables students to perform effectively in clinical settings. The barriers of the practical training are identified as the factors that reduce the quality of the clinical experience. Aim: assess the barriers interfering with the performance of students in practical training of maternal and newborn health course at a technical institute of nursing. Method: Self-administered questionnaire sheet - it includes two parts: Part1: Socio-demographic characteristics such as age - and area of residence..et. Part 2: Assessment of Barriers during practical training in the lab &clinical area Part3: Observational checklist to assess the performance of students after the procedures. Result: Age of studied students ranging between 18-20. the level of studied students’ performance in perineal care skills was 24.9% satisfied - while in handling skill was 18.3% satisfied. There were statistical significance between barriers and performance for students. Conclusion: the barriers interfering with student performance at lab was inappropriate number of students to lab space and the numbers of instructor to students .Also hospital barriers the numbers of cases not enough to number of students - the physician and the nurse didn’t allows students to practice skills with patients. There were negative relationship between the barriers and the performance among students. Recommendation: recommended that open channels between technical institution of nursing and clinical training area to facilitate learning during practical training (serve the place - communication with nurses and physicians).
Keyword : practical training
- barriers - students’ performance - Maternal and Newborn Health/Safe Motherhood (Programme) - Clinical education - practical training and student performance - Factor affecting clinic education - practical training and student performance

Thesis 2021

Thesis 2022.

Thesis 2022.

Thesis 2021.


من 6
 







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